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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Sovereign Credit Risk and Credit Default Swap Spread
Reflections
Neslihan Topbaş
Atılım University, Ankara, TURKEY
ntopbas@atilim.edu.tr
The already experienced turbulence in the global financial system has
focused the attentions of the market participants to especially sovereign
risk; its major determinants, systematic nature as well as its contagion
potential. In this study, the direction of the analysis of the sovereign risk is
within the framework of the credit default swap (cds) transactions. The
sovereign risk can also be elaborated by using the bond spreads of the
sovereign but the latter is also driven by factors other than the sovereign
risk such as the interest rate movements, supply conditions, liquidity etc.
The already available economical and financial data provides invaluable
opportunity to analyze the sovereign risk anticipation of the financial
markets as it incorporates the valuation of cds in real crisis times of 2008
and 2009 and 2011-first half of 2012 as well as the before and after
economic and financial data of the selected countries namely Brazil,
Turkey, Russia, Korea, Greece and Spain.
The attitude of the investors towards risk as reflected in the financial
market conditions affect the cds spreads of the sovereigns and this creates
commonality which can be measured by the correlation between the
individual sovereign cds spreads. In order to explain the co-movements in
the cds spreads of the selected countries into a smaller number of
common factors, principal component analysis was performed and it is
seen that the first principal component captures nearly 62 percent and the
first three component captures nearly 90 percent of the correlation matrix
In this Study, in order to capture the relationships between the cds spreads
and the country-specific and the global financial and economic factors,
regression analysis has been performed. The country specific factors are
determined as foreign exchange rate, foreign currency reserves, local stock
market returns, external debt, and current account balance as a
percentage of gross domestic products. The global financial and economic
factors added to the model as independent variables are indexes about US
Stock Market Return, US Treasury yields, US corporate yields and Emerging

224

�International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

market yields, as well as indicators of equity, term and volatility premium
and bond and equity flows.
The relationship between the global financial variables and cds spreads
reveals the fact that the risk appetite in the global financial market affects
the credit risk perception and consequently the cds spreads regardless of
the employed indicator of the risk appetite. Specifically, it is also
determined that domestic economic situation has significant effects on cds
spreads (excluding Greece who experienced considerable turmoil in its
economic and financial position), the local variables explain more than 75
percent of the cds spread level and this ratio increases to more than 80
percent when four emerging market countries are referred.
Keywords: Credit Default Swaps, Sovereign Risk, Global Financial
Indicators, Risk Appetite, Financial Crisis.

225

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                    <text>International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Sovereign Credit Risk and Credit Default Swap Spread Reflections
NeslihanTopbas
Atılım University, Ankara, Turkey
ntopbas@atilim.edu.tr
Abstract
The already experienced turbulence in the global financial system has focused the
attentions of the market participants to especially sovereign risk; its major
determinants, systematic nature as well as its contagion potential. In this study, the
direction of the analysis of the sovereign risk is within the framework of the credit
default swap (cds) transactions. The sovereign risk can also be elaborated by using
the bond spreads of the sovereign but the latter is also driven by factors other than
the sovereign risk such as the interest rate movements, supply conditions, liquidity
etc.
The already available economic and financial data provides invaluable opportunity
to analyze the sovereign risk anticipation of the financial markets as it incorporates
the valuation of cds in real crisis times of 2008 and 2009 and 2011-first half of 2012
as well as the before and after economic and financial data of the selected countries
namely Brazil, Turkey, Russia, Korea, Greece and Spain.
The attitude of the investors towards risk as reflected in the financial market
conditions affect the cds spreads of the sovereigns and this creates commonality
which can be measured by the correlation between the individual sovereign cds
spreads. In order to explain the co-movements in the cds spreads of the selected
countries into a smaller number of common factors, principal component analysis
was performed and it is seen that the first principal component captures nearly 62
percent and the first three component captures nearly 90 percent of the correlation
matrix
In this Study, in order to capture the relationships between the cds spreads and the
country-specific and the global financial and economic factors, regression analysis
have been performed. The country specific factors are determined as foreign
exchange rate, foreign currency reserves, local stock market returns, external debt,
current account balance as a percentage of gross domestic product. The global
financial and economic factors added to the model as independent variables are
indexes about US Stock Market Return, US Treasury yields, US corporate yields
and Emerging market yields, as well as indicators of equity, term and volatility
premium and bond and equity flows.
The relationship between the global financial variables and cds spreads reveals the
fact that the risk appetite in the global financial market affects the credit risk
perception and consequently the cds spreads regardless of the employed indicator of
the risk appetite. Specifically, it is also determined that domestic economic situation
has significant effects on cds spreads (excluding Greece who experienced
considerable turmoil in its economic and financial position), the local variables
explain more than 75 percent of the cds spread level and this ratio increases to more
than 80 percent when four emerging market countries are referred.
Keywords: credit default swaps, sovereign risk, global financial indicators, risk
appetite, financial crisis

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Introduction
The nearness of Greece to sovereign default situation which was resulted with the biggest
sovereign debt restructuring in the amount of approximately €100 billion out of the total
debt of €350 billion of the country, triggered the relevant credit default swap transactions
under the restructuring definition of the credit event. This had been constituted an
important test of the financial system to the payment on sovereign bonds as referenced in
credit default swaps (cds). In fact, this restructuring had been the breaking point of the long
lasting Eurozone sovereign debt crisis since 2008, and considered to be the beginning point
of another era of financial turmoil which will probably end up with new sovereign default
cases.
This experience was an impressive illustration of the usefulness of cds as an insurance
against default risk. A cds is a credit derivative contract providing protection against the
default risk (credit event) for a given reference entity (sovereign or corporate). The cds
may cover a bond issued by the reference entity or the reference entity itself directly (in
which case the contract will be unwound through a cash settlement only). Generally, the
buyer of the cds has already exposed to the risk of the reference entity by lending it in the
form of loans or bonds and, by the use of the cds, she acquires the right to sell the specific
bond which she already owns (reference bond issued by the reference entity) at par value if
a credit event occurs in exchange of the payments to the seller in the agreed amounts at
regular intervals until the cds expires or a credit event occurs. In the latter case, the buyer
makes a final payment and the swap is unwound either by delivery of the underlying asset
or in cash.
Within this framework, the Depository Trust and Clearing Corporation (DTCC) who
provides post-trade processing services for over the counter (OTC) credit derivative trades
announced that it completed the restructuring event for the Hellenic Republic (Greece
sovereign entity) and a total of US$2.89 billion in net funds were transferred from net
sellers of protection to net buyers in March 2012. The amount of the net funds to be
transferred was calculated on the basis of the auction for Greece sovereign bonds which
was conducted in accordance with the International Swaps and Derivatives Association
(ISDA) protocols1 This experience revealed the importance of the legal specification of the
“credit events” on the time of the initiation of the cds transaction whether the reference
entity is sovereign or corporate.
The already experienced turbulence in the global financial system focused the attentions of
the market participants to especially sovereign risk; its major determinants, systematic
nature as well as its contagion potential. In this study, the direction of the analysis of the
sovereign risk is within the framework of the credit default swap transactions. The
sovereign risk can also be elaborated by using the bond spreads of the sovereign but the
latter is also driven by factors other than the sovereign risk such as the interest rate
movements, supply conditions, liquidity etc.
In the first section of this study, the cds will be elaborated especially in terms of the
definition of the credit event under the legal documentation. The aim is to underline that
not only default, but also restructuring of the debts can result with a cds to be unwounded.
The Second section of this Study will begin with a literature review in order to figure out
several different approaches to analyze the sovereign credit risk concept. In the next
section, the data and the methodology employed to analyze the sovereign risk within the
framework of cds transactions and the findings will be revealed.
1

http://www.dtcc.com/news/press/releases/2012/dtcc_successfully_completes_greek_cds.php

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

In the analysis, the multivariate approach of Longstaff, Pan, Pedersen and Singleton (2011)
has been employed. In their study, Longstaff and friends used the country specific macroeconomic factors such as domestic stock market return, foreign exchange rate against US $
and foreign reserves of the sovereign and also global financial factors that may indicate the
risk appetite such as US Stock Market Returns, US Treasury yields, corporate yield index
etc. The main contribution of this study will be covering the data of the whole crisis time
of 2008 and 2009 and especially Greece experience in the late 2011 and beginning 2012
although the sample countries is relatively limited.
The already available economical and financial data provides invaluable opportunity to
analyze the sovereign risk anticipation of the markets as it incorporates the valuation of cds
in real crisis times of 2008 and 2009 and 2011-first half of 2012 of the selected countries
namely Brazil, Turkey, Russia, Korea, Greece and Spain. When selecting the countries
firstly the countries which have been in trouble in terms of sovereign riskiness such as
Greece and Spain were preferred (although they have been considered as developed
countries so far), then geographical diversification of the emerging market countries was
considered in order to point out the possible region specific developments (if exists).
Credit Events under Cds Legal Documentation

Credit event refers to any credit-related event that triggers the realization of the obligations
under a credit default swap. Although the parties may agree to exclude one or more of the
defined events, the following six situations are industry-standard as defined in the 1999
ISDA credit derivatives definitions:
Bankruptcy is defined in the section 5(a)(vii) of the ISDA Master Agreement and it
encompasses a large variety of events associated with bankruptcy or insolvency
proceedings under English law or New York law, as well as analogous events under other
insolvency laws. The ISDA scope of bankruptcy is wider than insolvency-related events
used by rating agencies, certain actions taken by the reference entity, like a board meeting
or a shareholders meeting to consider the filing of a liquidation petition, may be considered
to be an act of bankruptcy as well. 2
Obligation Acceleration concerns the situation, excluding a failure to pay, where the
relevant obligation becomes due and payable before its normal expiration date but it is
mostly the result of a default by the reference entity. Generally, the credit event is accepted
to occur only if the relevant sum being accelerated is above a minimum threshold.
Obligation Acceleration is different from obligation default in that if in a credit derivative
transaction, obligation default is already specified as a credit event, and obligation
acceleration will only be relevant if the default requirement is lower than the one of the
obligation default.
Obligation Default concerns the situation, excluding a failure to pay, where the relevant
obligation becomes capable of being declared due and payable as a result of a default by
the reference entity before the due time but the relevant sum being defaulted must exceed a
minimum threshold generally.
Failure to Pay refers to a failure of the reference entity to make any payments under one or
more obligations at due time but usually it takes into account any contractual or
institutional grace period before the credit event is triggered.
2

http://www.ericbenhamou.net/documents/Encyclo/Credit%20event.pdf

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Repudiation/Moratorium refers to situations where the sovereign disaffirms, disclaims or
otherwise challenges the validity of the relevant obligation. Usually, like for obligation
acceleration or default, a default requirement threshold is specified.
Restructuring concerns situations where the terms of the relevant obligation especially the
external indebtedness in the case where sovereign is the reference entity are modified and
become less favorable to the obligation holders. Typical examples are a reduction in the
principal amount, a decrease of interest payable under the obligation, a postponement of
payment, a change in ranking in priority of payment or any other composition of payment.
However, a restructuring event would not be considered to occur in circumstances where
the relevant event does not result in a deterioration of the creditworthiness or financial
condition of the reference entity.
In fact, until Greece experience, sovereign is perceived to be risk free in the financial
markets and consequently the pricing of a cds transaction for a specific sovereign was set
lower than a reference entity other than sovereign located in the particular country. 3 This
positioning has been a result of credit risk, any credit risk other than sovereign also
includes sovereign risk as the sovereign may prohibit to make any payment abroad.
Basically, the sovereign and corporate default differ in two main aspects; firstly in the case
of the corporate default the courts are generally entitled both liquidation and restructuring
mechanisms to the assets of the borrower to enforce the creditor rights but in case of the
sovereign as most of the assets are located domestically within a country, sovereign cannot
credibly commit to handing these assets over in the event of default. On the other hand, the
sovereign immunity protects the assets of the sovereign outside the country as well. (Ang
and Longstaff 2011, p.4) Secondly, there exists no recognized international process to be
followed in case of the sovereign default. In practice, when such a probability occurs,
either intergovernmental institutions such as International Monetary Fund comes into the
scene in order to provide lending to the country in trouble or consortium of the
international banks sit on the table in order to restructure the debt in order to make it
payable for the borrower country.
The default of any sovereign can be detrimental not for only itself but also for the global
financial system as a whole because of the relatively larger amounts of indebtedness. The
external indebtedness of the less developed countries is owed mainly to the
intergovernmental institutions such as IMF and World bank as they have limited access to
private financial system and those institutions lend the money collected from the member
countries. For many of the emerging and all of the developed countries, generally external
indebtedness has been owed to the international banks and financial institutions. In such a
framework, the default of any sovereign is a shock to the international investor confidence
so no one wants it to be realized but this does not mean that the financial system never
permits any sovereign default. It is a fact that some countries have never defaulted in the
past such as the United States at the federal level, Canada, Australia, South Africa (except
for an episode related to sanctions in 1985), most Asian countries, and most Arab
countries. On the other hand, Latin America as a region is represented in all default waves
since the 1820s as Argentina, Ecuador, and Uruguay defaulted in the most recent wave as
well as most previous waves. After the worst global financial crisis in 1930s, the default
wave occurred in 1980s affecting many countries especially the newly independent Africa
countries. The second important default cycle realized in the period between 1998-2004,
3

i.e. Reinhart and Rogo (2008) illustrate the public misperception of government debt as a safe haven on their
Paperpreparedforpresentation at theAmericanEconomicAssociationmeetings in San Francisco, January 3,
2009.

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but IMF played a more aggressive role in preventing debt restructurings. (Sturzenegger and
Zettelmeyer 2007, p.9-10) Although it is said to be postponed but not prevented yet, the last
default cycle commenced in 2008, ironically not affecting Latin America and other
developing countries but developed ones in Europe such as Greece, Spain, Portugal and
even France.
Literature Review

As the financial reports of a company reveals the financial position of a corporation, the
macro economic factors shows the debt payment capacity of the sovereign as well as the
vulnerability of this capacity to the external shocks. There exists no agreement on the
determinants of sovereign default risk, as reflected in sovereign credit spreads. While some
of the analysis show that the government‟s ability to service its debt depends on the
underlying macroeconomic fundamentals and, therefore, is country-specific, some others
revealed strong commonality in the movement of cds spreads regardless of the country
specifics.
Most of the early studies had taken into account the individual macroeconomic variable(s)
as independent variable and test the relationship between those macro-economic
variable(s) and cds spreads such as:
-

Low Current Account Balance to GDP ratio signals a decrease in the default
probabilities of a country and reduces the cds spreads (Georgievska et al. 2008,
p.1037)

-

High Import to GDP ratio should lead to higher cds spreads as foreign exchange outflow
increases (Georgievska et al. 2008, p.1040)

-

High Debt to Export ratio increases cds spreads (Catao and Sutton 2002, p.16)

-

High Reserves to Debt ratio should have a negative relationship with the sovereign cds
spread (Catao and Sutton 2002, p.16)

-

High debt to GDP ratio is positively related with cds spreads (Mellios and Blanc
2006, p.363)

-

High inflation rate should increase the credit risk attached to a nation (Mellios and Blanc
2006, p.365)

-

Economic growth decrease the credit risk associated to that country and thus its cds spread
(Baek et al. 2005, p.544)

-

A devaluation of the exchange rate of a country should increase the price of the cds spreads
as it conveys a doubtful credit position (Baek et al. 2005, p.545)

-

High Household Debt to GDP ratio of an economy increases the credit risk attached which
should lead to higher cds spreads (Reinhart and Rogoff 2008, p.119)

-

The Risk-free rate should therefore be negatively related to cds spreads (Fontana and
Scheicher 2010, p.16)

-

Spreads on emerging market instruments have strong and well-defined relationships to
their credit rating, maturity, and currency denomination. (Kamin and Kleist 1999, p.16)

-

Sovereign ratings effectively summarize and supplement the information contained
in macroeconomic indicators and are therefore strongly correlated with marketdetermined credit spreads.( Cantor, R. and Packer, F. (1996), p.37)

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

As cds was originated as an insurance against credit risk, the theoretical findings that particular
country specific macro-economic variables determine the cds spreads is not surprising.
Nevertheless, the observed degree of co-movement of the individual country cds spreads pave the
way for researchers to identify the common factors(s) driving sovereign credit risk and to study the
common variation in global sovereign cds spreads. The findings supporting the commonalities in
credit spreads are summarized below:
-

Spreads on sovereign bonds today co-move to a greater extent than they did historically as
they are driven more by global events than country specific fundamentals.(Mauro,
Sussman and Yafeh 2002, p.703)

-

The sources of credit risk for the emerging markets can be split into three elements: The
first element, which is the least relevant, is the result of shocks through country-specific
fundamentals. The second element is the result of global variables, such as US stock
market returns and the slope of the US Treasury bond curve and the third and most
important, element is the contribution of regional factors, such as a systematic component
of the four stock markets, a systematic volatility component and investor
sentiment.(Weigel and Gemmill 2006, p.497)

-

Since the structural models of sovereign credit risk focus on country-specific factors in
explaining the credit spread of sovereigns, they fail to capture aggregate market effects
which are important determinants of sovereign credit spreads (Westphalen 2001, p.20)

-

A single common factor drives the common portion of variation in sovereign bond spreads
for a sample of 15 emerging market countries (McGuire and Schrijvers 2003, p.20)

-

Sizeable common factor in the changes of emerging market spreads is related to
international developments. (Garcia-Herrero and Ortiz 2007, p.150)

-

Liquidity, solvency and economic stability variables significantly affect the market
premium of country risk as reflected in the cds spreads. (Baek, Bandopadhyaya and Du
2005,p.547)

-

The credit spreads for Mexico, Turkey and Korea share a strong common relation to US
stock market volatility as measured by the VIX index.( Pan and Singleton 2008, p.2380)

-

The distance-to-default is largely driven by systematic global and regional factors, so
investors should treat the credit risk of these emerging markets as nondiversifiable. (
Weigel and Gemmill 2006, p.490)

The research of Longstaff and friends (2011) stipulates that sovereign credit risk is driven
much more by global financial market variables and global risk premia than by local
economic forces. This dependence on common global factors such as U.S. stock market
returns and high-yield spread changes induces significant correlation into the credit spreads
of a broad cross-section of sovereign nations. After inclusion of the data of crisis time of
2008 and 2009, they went one step further and determined that both the risk-premium and
default-risk components of cds spreads are strongly related to global macroeconomic
factors.
Another update research on systemic sovereign credit risk as reflected in the cds spreads
are done through comparing the credit risk components of the US and Europe member
countries and resulted with interesting findings. (Ang and Longstaff 2011)Using a
multifactor affine credit model, the sovereign credit risk was decomposed into a systemic
component and a sovereign-specific component and it is found that the systemic risk
represents a much smaller fraction of total credit risk for US states than is the case for
members of the EMU although the reverse was expected.
The commonality in sovereign cds spreads was also elaborated on a consumption based
framework and the role of US consumption forecasts and volatility in explaining sovereign

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

cds was investigated.(Augustin and Tedongap 2011) The findings suggest that sovereign
credit risk is priced globally rather than locally, consistent with previous literature.
The Data

The data used in this study is monthly US Dollar denominated cds spreads of the selected
countries, namely Turkey, Brazil, Russia, Korea, Greece and Spain with 5 year maturity. 5
year is selected as the relevant maturity in order to better address the reflections of the
changes in sovereign default risk to cdspremia as 5 years is accepted as the most
representative maturity by the market players with regards to its liquidity.
The sample period is from May 2005 to June 2012, this period is selected because of the
availability of the data not only of cds spreads but also other country specific and global
macroeconomic and financial factors. All of the data is gathered from Datastream. All cds
spreads are quoted in basis point (bps) and Table 1 provides summary information about
the sovereign spreads.
Table 1 clearly reveals the situation of cds spreads when default probability increases, as in
Greece. The min and max values of cds spreads of Greece diverge considerably while the
standard deviation shows great variance. The second highest vulnerable country seems as
Russia as reflected in standard deviation, followed by Spain. The most stable cds spread
movements belongs to Korea that was prepared to deal with new crisis after 1997-1998
crisis in terms of foreign reserves, improved financial structures of firms and banks,
relatively mild house price hikes, and the sound government budget, as well as the foreign
exchange policy that honored market forces, the monetary policy that stabilizes domestic
economy, and the fiscal policy that was carried out on time. (Cho 2010, p.21)
Correlations and Principal Component Analysis

There exist many different views and definitions about the credit risk but it is widely
accepted that credit risk consist of two components: the default risk and the spread risk.
The default risk is relevant with the non-compliance of the borrower to the legal, financial
and operational obligations covered and so, more related with the documentation-related
aspect of a transaction creating exposure. The other component is the spread risk and it is
relevant with the market value of the contract when the credit quality of the borrower
changes. Reflecting this definition of the credit risk to the definition of cds spreads, the
decomposition generally clarifies the possible risk factors that may have affect. The
magnitude of the default risk component is determined by the factors affecting the
probability of the default of the specific entity, sovereign in our analysis, or from a
different terminology the arrival rate of default which is highly country-specific. On the
other hand, the second component, spread risk is clearly relevant with the market
conditions affecting all other transactions such as liquidity in the markets, risk appetite etc.
In this framework, the market related component of credit risk is applicable to all cds
transactions especially the sovereign cds where sovereigns are from the same market
segment such as emerging markets so co-movement in the cds spreads of the sovereigns
must not be surprising.
It is accepted that the financial market conditions do affect the cds spreads of the
sovereigns and this, probably, creates some degree of commonality which can be measured

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

by the correlation between the individual sovereign cds spreads. The commonality is
originated from some principal factors which can be measured by principal component
analysis. The proposed co-movement of the cds spreads reveals itself on the correlation for
the counties and Table 2 shows the pair-wise correlations of the cds spread changes of the
selected countries. It is seen that Greece and Spain considerably diverged from other four
countries whereas the other four countries have very high correlations between themselves.
Table 3 indicates support to the idea that in crisis time the co-movement between the
individual country cds spread changes increases. September 2008 is defined as the
beginning of the crisis time and the pairwise correlations are calculated by using the data
before and after that period. For all of the pair of sovereigns, the correlation increased. The
highest increase is realized in the correlations of the Spain with other countries, reflecting
the co-movement further.
In order to explain the co-movements in the cds spread of the selected countries into a
smaller number of common factors, principal component analysis was performed. Table 3
stipulates the principal component analysis of the correlation matrix of cds spread changes
as given in Table 2. The results indicate that there is significant amount of commonality in
the variation of cds spreads. The first principal component captures nearly 62 percent of
the variation, whereas the first three components capture nearly 90 percent of the
correlation matrix. This finding is parallel to the determinations of Longstaff and friend
(2011) although they used a different base period (October 2010- January 2010) and a
different sovereign set of 26 countries.
Regression Analysis

The empirical studies focusing on sovereign risk as reflected in the cds spreads have
generally adopted two different approaches, one of which is based on comparing the actual
credit spreads with the selected structural model and the other has been regressing the
changes in the credit spreads with the change rate of the selected variables. In this study, in
order to capture the relationships between the cds spreads and the country-specific and the
global financial and economic factors, regression analysis has been performed; the
dependent variable is set as the change in cds spreads and the change in the independent
variables which are summarized below are grouped under two main headings, the countryspecific variables and the global financial variables and the rate of change of these
variables.
Country-specific Variables

The country specific economic variables have been selected by referring their affects to
possible payment failure of the sovereign. All the data mentioned below are gathered from
DataStream which is a product of Thompson Reuters, unless otherwise stated in the
definition of the variable. It is also noteworthy to mention that all of the country-specific
factors mentioned are also included in the sovereign rating methodology of the major
rating agencies as Standard &amp;Poors and Moody‟s.
- Cds Spreads: The spreads of US Dollar denominated sovereign cds transactions with 5
years maturity of each country are used.
- Foreign Exchange Rate: The monthly local foreign currency rates per U.S. Dollar
against domestic currencies are used. There exist floating exchange rate regimes in all of

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

the selected countries, consequently the foreign exchange rate acts as a barometer against
the possible fluctuations in of the countries capability of paying external indebtedness
except Spain and Greece having Euro as the domestic currency.
- Foreign Currency Reserves: The U.S.Dollar equivalent of the foreign currency
reserves is used. From the lenders side, the higher the amount of such reserves, the more
comfortable they feel as in tough times the sovereign will be able to pay its debts without
needing further financing.
- Local Stock Market Returns: The monthly changes in the local market indexes are
taken as the measure of the local market return. All the countries involved have wellfunctioning local equity markets and those markets reflect not only domestic real
economical balances but also the global risk appetite through foreign portfolio investments.
The factors explained above were the ones also employed by Longstaff and friends (2011)
who determined that the country-specific factors comes behind the global market factors
in determining the sovereign riskiness and cds spreads. In order to better address the
sovereign default risk as perceived by the market participants two more country-specific
factors have been added to the model:
- External Debt: The U.S.Dollar equivalent of the total external indebtedness of each
sovereign is used. From the lenders side the higher the external debt of a country, the more
vulnerable it would be to fluctuations in the international funding environment.
- Current Account Balance as a percentage of Gross Domestic Product: This ratio
represents all the economic activities of the nation affecting the foreign exchange flows, it
includes net foreign trade and also capital flows. This variable is added to the original
model referring to the study of Hilsher and Nosbusch who worked on the effect of
particularly the export performance of the countries to its debt paying capacity. (Hilsher
and Nosbusch, 2010)
Global Financial Variables

Many of the earlier research have ended up with the determination that the cds spreads are
driven more by the global financial markets than the country-specific variables. The
following factors representing the overall climate of the global environment are employed
in the analysis:
- US Stock Market Returns: The S&amp;P 500 composite index is employed in order to
reflect the risk appetite as indicated by U.S. equities. In order to fully reflect the stock
market developments, not the excess return but the monthly return as calculated by the
changes in S&amp;P 500 composite index has been employed.
- US Treasury yields: As for the cds spreads 5 year maturity is selected as reference
term, the S&amp;P 5-Year U.S. Treasury note Excess Return Index is employed in order to
address the fluctuations in the bond returns. In addition to this index, the yields of 5 year
maturity constant maturity treasury (CMT) rates computed by the Federal Reserve Board
are also employed. CMT is based on the corresponding Treasury yield curve rate and is
usually computed by averaging either the past week's or the past months daily rates of the
underlying constant maturity Treasury.

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

- Corporate Yields: The index of the spread of the US corporate with rating AAA minus
that of US corporate with rating A as produced by Merrill Lynch is used. For the
difference in the spreads of the US non-investment grade corporates with BBB and B
ratings, the difference of the indexes for the both group of the corporates as produced by
Thompson Reuters is used. Both of the variables are perceived as the measure of
risk/return preferences of the investors.
- Equity Premium: The monthly price/earnings ratio for the S&amp;P 100 index is used as a
measure of equity premium.
- Volatility Premium: Chicago Board Options Exchange Market Volatility Index, also
named as VIX, measuring the market's expectation of stock market volatility over the next
30 day period is used as a proxy for volatility premium. Among the market-level variables,
changes in VIX, a proxy for market-wide risk aversion or the so-called “fear factor”, have
more significant explanatory power than others.
- Term Premium: The index calculated by Barclays to represent the spread difference
between the US Treasury bonds with 5 years and 1 year maturity is used as a measure of
the term premium.
- Bond and Equity Flows: The Datastream provides the net flow of mutual funds to
global bond and global equity markets and those amounts are used.
- Emerging Market Index: As a measure of the risk appetite towards specifically to the
emerging market countries EMBI index as calculated by JP Morgan is employed. The
EMBI index track foreign-currency denominated government bond yields for a number of
emerging market economies and it is commonly used as measures of country risk.
Correlations of the Variables with the cds Spreads

The variables are intentionally selected with regards to their anticipated relationship with
the cds spreads which is thought to have affect on the sovereign risk. In this framework,
the correlation between monthly changes in the value of each variable and cds spreads may
be questioned when evaluating their effect on the cds spreads. A correlation matrix
indicating the pairwise correlations of each variable with the cds spreads for each
sovereign is given in Table 5. Also, by using the country specific eigenvalues as weights, a
comprehensive correlation was calculated in order to measure the correlation of each
variable and those correlations are given in the rightmost column of Table 5. Also, in order
to better address the co-movement between the cds spreads and global financial variables
before and after the financial crisis, the correlations of each variable with individual
countries cds spreads is given in Table 6.
Referring to the correlations given in Table 5 and Table 6, the following determinations
can be made:
- Amongst the country-specific variables, the equity index has the highest negative
correlation with the cds spreads. While the correlation is above -0,60 for the countries in
the emerging country segment, it is lower for Spain and Greece, respectively -0,215 and 0,357. This strong negative correlation is in line with the finding of Coronado and friends
(2012) but the lower correlation of Greece and Spain contradict with their finding that
correlations are more significant in the case of the countries with
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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

higher risk premiums (Italy, Greece, Spain, Italy and Portugal) than th
others with lower cds spread levels.
- There exist considerable positive relationship between the monthly changes in FX
rates and the cds spreads(on average +0,53). As devaluation of the domestic currency
generally signals difficulty in the external economic positioning of a country, such a
parallel increase in the cds spreads is understandable.
- Although FX reserves and foreign indebtedness of a country have been regarded as
amongst the major default risk components, such relations are not confirmed with the data
employed referring to Table 5.
- Amongst the global financial market variables, the highest and negative correlation
exist between the monthly changes in S&amp;P 500 index and cds spreads of the selected
countries. This finding is in line with the findings of Longstaff and friends (2011). There is
extensive evidence that shocks to the US financial markets are transmitted globally. It is
thought that US security prices incorporate information about economic fundamentals or
market liquidity that is relevant to a broad cross-section of countries. Referring to Table 6,
the negative relationship widens after financial crisis for each of the country reflecting a
further highlighting the risk concerns of the investors.
- The correlation of the monthly changes in cds spreads and EMBI index represents a
considerable positive relationship (on average +0, 42). The EMBI widens as risk aversion
increases, so do cds spreads. Table 6 shows that generally positive or slightly negative
relationship between two variables before crisis turn to higher negative relationship after
crisis. It is noteworthy to mention that while the correlation of EMBI spreads and cds
spreads are very low for Greece and Spain, they shows a negative relatively high
relationship after crisis like other emerging market countries analyzed.
- Accepting US Treasury bonds as a safe heaven, the sovereign bonds and US
investment grade corporate bonds compete for funds as alternatives of the investment
decisions. In this regard, the negative and relatively high relationship between the changes
in the spread difference of US corporate bonds with AAA and A ratings and the cds
spreads of the selected countries, which is -0,379 on average is understandable. Referring
to Table 5, for Greece and Spain, the correlation is -0,06 and -0,11 respectively, meaning
that they differ from the emerging market countries. However, the correlation increases
considerably for both countries after the crisis as stipulated in Table 6.
- Another US- financial market indicator is spread difference of the corporate with BBB
and B ratings. Table 5 shows a negligible correlation between those spreads and cds
spreads. However Table 6 shows a different picture; while before crisis there exist negative
correlations for all the countries, after crisis the relations become positive and relatively
high for all of the countries. This can be explained in such a way that as risk aversion
increases in financial markets, the sovereign, as well as non-sovereign US risks are
regarded as within the same “risky” assets group.
- The relationship between 5 years US Treasury excess returns and cds spreads is
ambiguous referring to Table 5 as both has a correlation of -0,06. However, Table 6 signals
a relatively high negative relationship after crisis although the relationship has positive
sign before. This can be interpreted again with risk aversion in the market after crisis when

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

funds flow to US Treasury as safe heaven, spreads fall while cds spreads widened. The
correlation between the cds spreads and CMT index which is another indicator of US
Treasury yield is higher as compared to 5 years UST Excess Returns.
- Amongst the variables representing the premiums, the monthly changes in the
volatility premium as represented by VIX index has highest positive relationship with cds
spread. This finding is in parallel with the findings of Longstaff and friends. (2011), Pan
and Singleton (2008) and Remolona and friends (2008).
- Unlike the expectations, the correlation of the monthly changes in the both flows,
equity and bond, are not that significant.
Results of the Regression Analysis

Putting together all the selected and analyzed variables with regards to their relationships
with the monthly cds spread changes of the selected sovereigns, firstly the regression was
performed with only the country specific data; the computed t statistics for each variable is
given in Table7.
Specifically, Adjusted R2 for each country shows that the individual country economic
situation has significant effects on cds spreads except Greece who experienced
considerable turmoil in its economic and financial position. Although it is presumed that
this deterioration has to be reflected in the cds spreads, the announcement of ISDA that the
credit event occurred in the form of restructuring inevitably created imbalances such as
illiquidity which in turn may make the cds spreads meaningless.
The relationship between US Dollar against domestic currency rate and cds spreads is
rather ambiguous as out of 6 countries 2 of them have negative signed t statistics. One of
the recent studies for explaining and predicting sovereign credit risk with exchange rate
volatility revealed the facts that the exchange rate volatility has an important role in the
structural model of sovereign risk but the market does not fully price in the sovereign
balance sheet information into CDS spreads. ( Duyvesteyn and Marten, 2011)
When evaluating the affect of the variables in determining the cds spreads individually, the
negative local stock market return coefficient across all the countries attracts attention.
This can be understood in such a way that when many things go well in an economy this is
reflected in the stock index to rise and cds spreads to fall.4
The relationship between the FX reserves of a country and cds spreads is also negative
across countries. From the foreign lenders perspective, the higher FX reserve means higher
payment capacity without the need of further financing, more generally a decline in foreign
currency reserves, and/or a rise in the foreign debt default will increase cds spreads. 5
The relationship between external debt and cds spreads is also impressive in having
positive signed t statistics in all countries except Greece again. This positive relationship is
logical and confirmed with many other research such as the one performed by Garcia and

4

Therelationshipbetweenstockmarketsandtherealeconomicactivity
has
beenextensivelydebated
in
themacroeconomicandthefinanceliterature.
Since
70‟s,
standardvaluationmodelsestablishthattheaggregatestock market is determinedbymacroeconomicfundamentals
[Cochrane (1991), Fama (1981)]. Evidencefromtherelevantresearchsuggesttheexistence of such a
linkagebetweenthatfinancialmarketsandeconomicfundamentalsacross a variety of marketsand time horizons.
5
See IMF GFSR (April 2006), Box 3.6forsovereign CCA andimpact of changes in debtstructure.

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Rigobon (2005), who find that risk-based measures of debt sustainability are closely
related to spreads in the case of Brazil.
Balance of Payment as a % of GDP is included in the model as an independent variable
because it is believed that this ratio not only gives the general foreign exchange related
position of a country but also relates its external position with the economical capacity.
From Table 7, it is seen that the relationship between this variable and cds spreads is
negative across all the countries which is also logical as this ratio increases so the inflow
from abroad in terms of trade relations as well as capital flows and the perceived riskiness
will decrease as reflected in cds spreads.
Despite all of these inferences, it is noteworthy to mention that many of the internal
variables does not have significance at a 95 percent confidence level . Given the high level
of Adjusted R2, this does not mean that the model does not work but some caution is
needed to generalize the results.
Broadening the perspective in the analysis of the cds spreads of the selected countries by
adding the global financial factors, new regressions were realized and the produced t
statistics are given on Table 6. First of all, comparing Adjusted R2 „s of Table 7 and 8, the
considerable increase in the predictive capacity of the model for each country does worth
to mention. With the inclusion of the global financial variables not only the predictive
capacity increased, but also t statistics especially of the country-specific variables gained
significance in 95 percent confidence level as can be seen from Table 8.
In the last row of Table 8, a new dimension was included named as Local ratio by
Longstaff and friends (2011) which is calculated as Adjusted R2 of the model when only
country-specific variables included divided by the Adjusted R2 when all variables are
included. This ratio shows that except Greece, the local variables explain more than 75
percent of the cds spread level. The situation for Greece is exceptional as it has already
experienced a quasi-default occasion. In fact, the low local factor ratio for Spain can be
interpreted with the revised market pricing of cds transactions of Spain after the Greek
experience. The other countries, all of which are in the emerging market segment, have
local ratios near or above than 80% which means that their credit standing is highly
dependent on the local macro-economic environment.
Surprisingly, Balance of Payment as a % of GDP ratio is the most significant local variable
at 95 percent confidence level as t statistics are significant for 4 countries out of 6 but the
direction of the relationship reveals some ambiguity. For Russia and Korea, t statistics
have positive sign unlike the other countries which can be explained by the fact that these
two countries are net exporters.
The domestic equity index and cds spread are again negatively correlated except Turkey,
but this variable is statically significant only for Greece. The external debt also keeps the
direction of the relation as positive for all the countries except again Greece whose external
debt in type of bonds have restructured to longer terms in the first quarter of 2012. The FX
reserves variable is significant for Korea and Greece although the former indicates a
positive and the latter a negative relationship. As the direction of the relation of this
variable is ambiguous, may be it was better to specify the external debt as a fraction of
GDP.
From the Table 8, it is seen that many of the global financial market variables have
significant t values for the countries involved. As parallel to the findings of Longstaff and
friends (2011), the variable of 5 years US Treasury excess returns has significant t values
across all the countries. The direction of the relationship between cds spread is equally

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

distributed among countries. A similar variable is Constant Maturity Treasury with 5 years
maturity, 3 out of 6 countries it has significantly affected cds spreads.
The softening risk appetite generally results with a shift of funds from US Treasury to
equity and relatively high risk bonds and the first address is to less risky shares as covered
by S&amp;P 500 index, consequently increasing S&amp;P 500 index generally signals improved
risk appetite which is expected to smoothen the cds spreads as well, so a negative
relationship is expected but the results of the analysis does not support this view. The
direction of the relationship is negative for Brazil and Turkey and positive for the others.
The relationship between the monthly changes in S&amp;P 500 index and the cds spreads of the
selected sovereigns has significance for 2 countries out of 6.
In the market place, the return difference between the US corporate with AAA and A
ratings decreases when the risk appetite smoothens, the same is true for also US corporate
BBB and B difference as the investors will not differentiate the riskiness of the categories
so a negative relationship is expected. The expectations are confirmed with the findings as
can be seen from Table 8 as both of the variables have generally negative signs and it can
also be said that this variable is also significant at 95 percent confidence level.
The other group of global variables are premiums of equity, volatility and terms measuring
the relation of the cds spreads with price earnings ratio of S&amp;P 100 index, VIX and the
index issued by Barclays indicating the spread difference between 5 and 1 year bonds
respectively. From Table 8, it is clearly seen that all the premiums are statistically
significant in determining cds spreads at 95 percent confidence level.
The last interesting finding from Table 8 is that funds flow from US to invest to whether
bonds or equity does not affect the cds spreads considerably although funds flow is
expected to rise in good times when also cds spreads narrows.
Conclusion
The protection provided by a cds transaction has gained importance especially after the
quasi-default situation of Greece. The market participants have begun to question not only
the dissolution procedure of the cds transactions after the realization of a credit event but
also the protection they provided and whether the cds spreads truly reflect the credit risk of
the sovereign. The cds spreads should reflect the developments in the country-specific
macro-economic fundamentals affecting the default probability of a sovereign in order
provide hedging capability. However cds is a trade able instrument, the spreads are
determined in the market place so inevitably are affected by the market climate. Many
researchers have focused on the local and global factors affecting the cds spreads and this
study also aimed to figure out the cds spreads of six countries, namely Brazil, Russia,
South Korea, Turkey, Greece and Spain. The first four countries are amongst the emerging
market segment and intentionally selected representing different geographical locations, as
well as trade positions and Greece and Spain were selected in order to capture the possible
dynamics in the cds spreads in case of quasi-default and default rumors which are the cases
for them respectively.
Whatever the source of commonality, it is a fact that the cds spreads of the sovereigns do
move together as indicated by high correlation among the cds spreads of the selected
countries for the period between May 2005 till May 2012 covering the crisis times of
2008-2009 as well as Euro-sovereign crisis. When evaluating the pair-wise correlations of
monthly changes of the cds spreads the decomposition of Greece and Spain from the other
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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

countries is seen easily. This decomposition may be attributable to the troublesome
conditions they face but also to their origination to Euro area of economic cooperation and
the developed nature of their economies. Not surprisingly, the emerging market countries
have high correlations amongst themselves as the internal and external factors affecting
their credit riskiness are similar. The monthly cds spreads movements are not only
correlated highly but also a limited number of common factors have affect all of the
sovereigns as 62 percent of the variation is explained by the first common factor and the
first three component captures nearly 90 percent of the correlation.
The relation of the cds spreads with some index such as S&amp;P 500 index and VIX have
been analyzed by many of the researcher and the result is parallel to earlier findings such
that the principal source of variation across the sovereign cds spreads of the selected
countries comes from US stock market return and volatility as defined by those indexes.
The correlation of the monthly changes in each variable with that of the cds spreads
indicated a very significant negative relationship between domestic equity index (Greece
and Spain decomposed) and a relatively significant positive relationship with FX rates
against US Dollar. The relation with FX reserves and foreign indebtedness are not
confirmed although these variables may be considered to be amongst the determinants of
the credit riskiness of a country. The relation was even loose for the variable which is
specified as the balance of payment as a percentage of GDP.
Amongst the global financial variables, the most influential are US equity indices as
represented by S&amp;P 500 index with a high degree of negative correlation and EMBI with a
high degree of positive correlation. Another impressive finding is that the difference
between the spreads of US corporate with AAA and A rating and also that of BBB and B
ratings has negative and relatively high correlations. Notably, the correlation between the
monthly changes in cds spreads and VIX index is also positive and high.
The financial market related variables and their relationship with cds spreads reveals the
fact that the risk appetite in the global financial market affects the credit risk perception
and consequently the cds spreads regardless of the employed indicator of the risk appetite.
But, the portfolio flows do not have significant relation with cds spreads, may be steaming
from their probable lagging occurrences.
In fact, the regression analysis produced supportive results to the above mentioned
determinations. Specifically, it is revealed that individual country economic situation has
significant effects on cds spreads except Greece who experienced considerable turmoil in
its economic and financial position. More specifically it is seen that except Greece, the
local variables explains more than 75 percent of the cds spread level and this ratio
increases to more than 80% when four emerging market countries are referred.
Adding global financial variables into the system not only increased the predictive
capability of the model but also increased the significance of the contributions of the local
variables more significant so making the overall model more predictive.
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Appendix

Russia
Brazil
Turkey
Korea
Greece
Spain

Table 1
Descriptive Statistics for Credit Default Swap Spreads
Mean
Standard
Minimum
Median
Maximum
Deviation
184,04
182,54
43
137,16
1.001,01
162,33
85,99
62,7
127,56
446,40
227,07
93,88
132
195,85
605,82
102,20
94,21
14,5
93,32
450
1.500,586
3.611,67
4,7
104,5
14.904,36
103,72
117,73
1,05
61,08
449,51

17

N
86
86
86
86
86
86

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 2
Correlation Matrix of Monthly Changes in Sovereign Credit Default Swap Spreads of the Selected Countries

Russia
Brazil

Russia
1,0000
0,8531

Brazil

Turkey

Korea

Greece

1,0000

Turkey

0,8254

0,8106

1,0000

Korea

0,7846

0,6917

0,7750

1,0000

Greece

0,3639

0,3026

0,3044

0,3801

1,0000

Spain

0,3040

0,2844

0,2734

0,3294

0,3554

Spain

1,0000

Table 3
Correlation Matrix of Monthly Changes in Sovereign Credit Default Swap Spreads of the Selected Countries
Before and After Crisis
Brazil

Turkey

Korea

Greece

Spain

beforecri aftercri beforecri aftercri beforecri aftercri beforecri aftercri beforecri aftercri
sis
sis
sis
sis
sis
sis
sis
sis
sis
sis
Russi 0,8148 0,8723 0,6498 0,8217 0,7073 0,8817 0,3428 0,3821 0,2091 0,5932
a
Brazi
0,8125 0,8437 0,6928 0,8740 0,4461 0,4297
l
0,2971 0,6834
Turk
0,5824 0,8694 0,2944 0,3000
ey
0,1534 0,5403
Kore
0,3706 0,4391
a
0,2200 0,6316
Gree
ce
0,3596 0,5900
Table 4
Principal Component Analysis Results of the Correlation Matrix of Monthly cds spread changes
Principal
Percent
Total
Component
Explained
First
0,6192
0,6192
Second
0,1707
0,7899
Third
0,1074
0,8972
Fourth
0,0515
0,9788
Fifth
0,0212
1,0000
Table 5
Correlation Between the Monthly Changes of the Variables and cds Spreads

FX Rate
FX Reserves
External Debt
Equity Index
Balance of Payment as of

Russia
0,3789
0,0666
0,0711
0,7405
-

Brazil
0,6526
0,1573
0,0234

Turkey
0,7760
0,0191

Korea
0,6057
0,0284

Greece
0,3267
0,3127

0,0638

0,1662

0,6002
-

0,7644
-

-0,635

0,0299
-0,357

-

-

18

Spain
0,2071
0,0052
0,3504

General
0,5311
-0,0006

0,2147
0,0768

-0,6018

0,0668

-0,0319

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

GDP

0,0397

0,0264

0,0802

0,0272

0,0483

S&amp;P 500 Index

0,6377
0,4347
0,0162

0,5894
0,4988
0,01

0,6546
0,4084
0,0254

0,2366
-0,114

0,3581
0,1177
0,1123
0,0726
0,0212

0,4922

0,1822
0,1586
0,4883

0,4675

0,4927
0,0656
0,0538
0,1591
0,0508
0,269

-0,5830

0,2487
0,0887
0,4802

0,6157
0,4883
0,0252
0,1973
0,0404

0,1244

0,4223

0,0613
0,5233
0,1804

0,1393
0,2971
0,1285

0,0897
0,5363
0,0811

0,0575
0,5069
0,0027

0,2658
0,1748
0,1471

0,0721
0,2029
0,0008

-0,1052

0,1225
0,0521

0,0199
0,084

0,1433
0,0767

0,1213
0,0128

0,1315
0,0784

0,1499
0,0505

-0,1102

US Corp. Spread
AAA-A
US Corp. Spread
BBB-B
CMT-5 years

Diff.
Diff.

5 years UST Excess Returns
EMBI
Equity Premium
Volatility Premium
Term Premium

Bond Flow
Equity Flow

-0,3792
-0,0119
-0,1956
-0,0673

0,4075
-0,0946

0,03073

Table 6
Correlation Between the Monthly Changes of the Variables and cds Spreads
Before and After Crisis

Russia
before
crisis
S&amp;P 500 Index

Brazil

after
crisis

before
crisis

Turkey

after
crisis

before
crisis

Korea

after
crisis

before
crisis

after
crisis

Greece
before
crisis

after
crisis

Spain
before
crisis

after
crisis

-0,4973 -0,6906 -0,5844 -0,5905 -0,6473 -0,6648 -0,5407 -0,7082 -0,4733 -0,4944 -0,3029 -0,6431

Corp, Spread Diff, AAA-A -0,2282 -0,6663 0,0833 -0,7222

0,1359 -0,2484

0,006 -0,3446

0,429 -0,2043 0,4359 -0,1358 0,4693 -0,1658 0,4342 -0,1553 0,1608

-0,162 0,2203

Corp, Spread Diff, BBB-B

-0,1926

CMT-5 years

-0,3579 -0,2159

-0,037 -0,6918 -0,2545 -0,6899

-0,427 -0,1806 -0,2274 -0,1676 -0,2944 -0,1699 -0,4173 -0,0543 -0,1632 -0,0284

5 years US Treasury 0,2825 -0,2343 0,0797 -0,1809 0,1389 -0,3102 0,414 -0,2142 0,3393 -0,2291 0,2048 -0,2483
Excess Returns
EMBI
0,1075 -0,6498 0,0431 -0,6452 -0,1162 -0,6428 -0,0976 -0,6779 -0,0991 -0,383 0,0399 -0,3367
Equity Premium
Volatility Premium

0,1626

-0,129 0,0052 -0,1706

0,678 0,4734 0,5566 0,2271

0,009 -0,1302 -0,0024 -0,1009 -0,0796 -0,3222 -0,1195 -0,0817
0,6697

0,487 0,4968 0,5453

0,2541 0,1537 0,1479 0,3824

Term Premium

0,1097 -0,3167 0,1602 -0,2579

0,0399 -0,1536 0,2322 -0,1767

0,2518 -0,3921 0,1551 -0,2468

Bond Flow

0,1432 -0,1594 0,3565 -0,0626

0,2427 -0,2156 0,0845

-0,182

0,0786 -0,1943 -0,1539 -0,2927

Equity Flow

-0,1952 0,0902 -0,1596

0,121 -0,1476 0,1264 -0,1914 0,0618

-0,257 -0,0464 -0,1573 -0,0513

19

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 7
Regression Analysis Results of Country Specific Variables and cds Spreads of the Selected Sovereigns 1
Russia
FX Rate
Equity Index
FX Reserves
External Debt
Balance
of
Payment as %
of GDP
Adjusted R2
1

-1,25
-11,22
-3,12
5,79
-3,02

Brazil

Turkey

5,6
-1,12
-3,76
2,46
-4,45

1,68
-13,74
-1,33
5,48
-1,58

0,7206

0,8121

*

0,7674

Korea

Greece

9,15
-1,28
-3,64
4,31
-1,92

-0,94
-7,71
-3,14
-4,57
-2,9

*

*

*

0,8809

Spain
*

0,4701

5,6
-1,12
-3,76
2,46
-4,45
0,7206

t statistics having significance at 95percent confidence level is denoted by *,

Table 8
Regression Analysis Results of Country Specific and Global Variables and cds Spreads of the Selected
Sovereigns 1
Russia

Turkey

Korea

6,23
-0,18

4,35
-4,55

6,66
0,05

Greece

FX Rate
FX Reserves

0,98
-1,02

ExternalDebt

1,18

3,43

5,91

1,51

-7,46

Equity Index

-2,15

-1,57

0,09

-1,48

-0,46

-2,69

-0,82

Balance of Payment as
of GDP

1,48

S&amp;P 500 Index

0,81

-0,46

*

-1,74

Diff,

-3,12

0

*

-1,45

Diff,

-1,32

Corp, Spread
AAA-A
Corp, Spread
BBB-B
CMT-5 years

5
years
US
TreasuryExcessReturns

1

*

Brazil

*

*

-2,33

-1,34

*

*

1,02

*

*

0,63
-0,33

Spain
*
*

-0,05
1,41
0,62

*

-2,61

-1,93
-1,48

1,16

1,21

*

0,4

-3,21

-1,45

*

2,2

*

-1,03

-3,01

-0,74

*

0,28

-1,31

*

-3,43

-0,52

*

-3,36

*

*

3,29

*

1,89

*

1,59

*

-0,74

*

-2,36

*

2,64

*

-1,05

EMBI

-2,79

*

-4,92

*

-4,21

*

-3,59

*

4,15

3,29

*

Equity Premium

-2,15

*

1,32

*

-3,40

*

-4,09

*

3,06

-1,03

*

Volatility Premium

3,07

*

0,59

*

3,03

0,12

*

-1,23

*

0,58

*

Term Premium

-3,5

2,59

*

1,77

1,12

*

-1,34

*

-2,17

*

Bond Flow

2,43

2,82

-0,07

-0,04

-1,68

-4,41

EquityFlow

1,79

-0,75

-0,02

0,02

0,21

1,09

Constant

3,93

-0,17

3,12

1,34

1,42

-2,73

Adjusted R2

0,9288

0,9118

0,9312

0,9693

0,8672

0,9626

LocalRatio

0,8262

0,7903

0,8721

0,9088

0,54209

0,7486

*

t statistics having significance at 95 percent confidence level is denoted by *,

20

*

*

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

21

�</text>
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                <text>Sovereign Credit Risk and Credit Default Swap Spread  Reflections</text>
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                <text>TOPBAS, Neslihan</text>
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                <text>The already experienced turbulence in the global financial system has  focused the attentions of the market participants to especially sovereign  risk; its major determinants, systematic nature as well as its contagion  potential. In this study, the direction of the analysis of the sovereign risk is  within the framework of the credit default swap (cds) transactions. The  sovereign risk can also be elaborated by using the bond spreads of the  sovereign but the latter is also driven by factors other than the sovereign  risk such as the interest rate movements, supply conditions, liquidity etc.  The already available economical and financial data provides invaluable  opportunity to analyze the sovereign risk anticipation of the financial  markets as it incorporates the valuation of cds in real crisis times of 2008  and 2009 and 2011-first half of 2012 as well as the before and after  economic and financial data of the selected countries namely Brazil,  Turkey, Russia, Korea, Greece and Spain.  The attitude of the investors towards risk as reflected in the financial  market conditions affect the cds spreads of the sovereigns and this creates  commonality which can be measured by the correlation between the  individual sovereign cds spreads. In order to explain the co-movements in  the cds spreads of the selected countries into a smaller number of  common factors, principal component analysis was performed and it is  seen that the first principal component captures nearly 62 percent and the  first three component captures nearly 90 percent of the correlation matrix  In this Study, in order to capture the relationships between the cds spreads  and the country-specific and the global financial and economic factors,  regression analysis has been performed. The country specific factors are  determined as foreign exchange rate, foreign currency reserves, local stock  market returns, external debt, and current account balance as a  percentage of gross domestic products. The global financial and economic  factors added to the model as independent variables are indexes about US  Stock Market Return, US Treasury yields, US corporate yields and Emerging market yields, as well as indicators of equity, term and volatility premium  and bond and equity flows.  The relationship between the global financial variables and cds spreads  reveals the fact that the risk appetite in the global financial market affects  the credit risk perception and consequently the cds spreads regardless of  the employed indicator of the risk appetite. Specifically, it is also  determined that domestic economic situation has significant effects on cds  spreads (excluding Greece who experienced considerable turmoil in its  economic and financial position), the local variables explain more than 75  percent of the cds spread level and this ratio increases to more than 80  percent when four emerging market countries are referred.  Keywords: Credit Default Swaps, Sovereign Risk, Global Financial  Indicators, Risk Appetite, Financial Crisis.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Dynamic Relationships between Stock Market
Capitalization Rate and Interest Rate in Turkey
Cengiz Toraman
Gaziantep University, Gaziantep, Türkiye
cengiztoraman2004@yahoo.com
Çağatay Başarır
Balıkesir University, Balıkesir, Türkiye
cagataybasarir@gmail.com

This paper investigates the long run and short-term relationships between
stock market capitalization rate and interest rates in Turkey over the
period 1998-2012. Prior to conducting the analysis in a time series, in
order to test the stability of the series, a unit root test was initially applied.
It is determined that both stock market capitalization rate and interest rate
series are not stationary. Long-run relationship is tested by Johansen
Cointegration tests and casual relationship is tested by Granger Causality
tests. According to the results of the study, there is long-run relationship
between stock market capitalization rate and interest rates while there is
not causal relationship between stock market capitalization rate and
interest rates in short term.
Keywords: Stock Market Capitalization Rate, Interest Rates, Cointegration,
Vector Error Correction Model (VECM), Causality.

78

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                    <text>International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

The DynamicRelationshipsbetween Stock MarketCapitalization Rate and
Interest Rate in Turkey
CengizToraman
Gaziantep University, Gaziantep, Türkiye
cengiztoraman2004@yahoo.com
ÇağatayBaşarır
Balıkesir University, Balıkesir, Türkiye
cagataybasarir@gmail.com
Abstract
This paper investigates the long term and short term relationships between stock
market capitalization rate and interest rates in Turkey over the period 1998-2012.
Prior to conducting the analysis in time series, in order to test the stability of the
series, a unit root test was initially applied. It is determined that both stock market
capitalization rate and interest rate series are not stationary. Long-term relationship is
tested by Johansen Cointegration tests and casual relationship is tested by Granger
Causality tests. According to the results of the study, there is long term relationship
between stock market capitalization rate and interest rates while there is not causal
relationship between stock market capitalization rate and interest rates in short term.
Keywords: Stock Market Capitalization Rate, Interest rates, Cointegration, Vector
error, Correction model (VECM), Causality.

Introduction
Two critical factors of economic growth are stock exchange and interest rate. The effects
of interest rate on stock exchange ensure important implications for monitory policy
towards financial markets. The relationship between stock market capitalization rate
(SMCR) and interest rate have preoccupied the minds of economists since they both play
important roles in influencing a country’s economic development (Aydemir and Demirhan,
2009).
Theoretically, interest rates have negative impact on stock market performance. An
increase in interest rates would avoid investors making high risk stock market investments
comparing to low risk interest bearing security investments such as fixed deposits, savings
certificates, treasury bills etc (French et al., 1987). In other words, demand for high risk
stock market investments would fall if the interest rates are high. As a result, fall in
demand for shares would eventually reduce its prices. In contrast, lower interest rate would
cause opposite effects such as higher demand for stock investment and increase of share
prices.
On the other hand, Central Banks usually use interest rates as a tool to dominate inflation
in a country. If Central Bank changes interest rates, it would indirectly affect the stock
market performance. It eventually would have an impact on overall economic development
of the country. Thus, determination of ideal interest rate is a very important policy decision
that a country has to consider regularly (Pallegedara, 2012).

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Objective of this study is to investigate the long term and short term relationships between
SMCR and interest rates. In the first section of the study, aliterature review is made in
order to introduce the variables and the models appliedfor different countries. In the second
section, data set and variables of the model areexplained. In the third section, a VAR
(Vector Autoregression) model is used toexplain the relationship between interest rates and
SMCR. The last section of the study evaluates the results of the model and concludes the
paper.
Literature Review
The relationship between the stock market and macroeconomic factors has been a key
study concern in the literature. For instance, the relationship between inflation and stock
market returns was investigated by Fama (1981). In his study, it is argued that expected
inflation is negatively correlated with anticipated real activity, which in turn is positively
related to returns on the stock market. A negative correlation between stock market returns
and expected inflation was introduced. Conversely, the influence of the long term interest
rate on stock prices stems directly from the present value model through the influence of
the long term interest rate on the discount rate.
Zhou (1996) analyzed the relationship between interest rates and stock prices with a
regression analysis. He found that over the long term, interest rates have a significant effect
on stock returns. In addition, his results point out that long term interest rates explain a
major part of variation in price-dividend ratios and bring up that the high volatility of the
stock market is related to the high volatility of long term bond yields and may be
accounted for by changing forecasts of discount rates.
Maysami and Koh (2000) used a VECM model using monthly data between 1988-2003 to
examine the long term equilibrium relationships between selected macroeconomic
variables and stock indices of Singapore, Japan and the United States. They found that
changes in Singapore’s stock market levels cause a cointegration relationship with changes
in price levels, money supply, short and long term interest rates, and exchange rate except
industrial production and trade. And also they detected that Singapore stock market is
significantly and positively cointegrated with stock markets of Japan and the United States.
Hondroyiannis and Papapetrou (2001) investigated the dynamic relationships between the
real stock returns, oil prices, and economic activity. They performed a VAR model using
monthly data between 1984:1–1999:9. They found that stock prices do not lead to changes
in real economic activity but the macroeconomic activity and foreign stock market changes
partially explained Greek stock price movements. They also found that oil price changes
explain Greek stock price movements and have a negative impact on economic activity.
Arango, Gonzales and Posada (2002) exhibited some evidence of the nonlinear and inverse
relationship between the share prices on the Bogota stock market and the interest rate.
They used daily data from January 1994 up to February 2000. They attained that their
model captured the stylized fact on this market of high dependence of returns in short
periods of time.
Simpson and Evans (2003) analyzed the dynamic interactions and long term relationships
between banks share returns and interest rates with a VAR model including Granger
Causality and cointegration analysis. They concluded that there is no long term

128

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

relationship between bank shares returns, bank share returns and exchange returns.
However, a causality from bank share returns and to exchange rates and interest rates.
Gan et al. (2006) examined the relationship between the New Zealand Stock Index and
certain macroeconomic variables between 1990- 2003. They used monthly data to perform
the cointegration tests. They found that the New Zealand Stock Index is consistently
determined by the interest rate, money supply and real GDP but no proof could be found
whether the New Zealand Stock Index is a leading indicator for changes in macroeconomic
variables.
Kurihara (2006) analyzed the relationships between Japan stock index and macroeconomic
factors with using daily data Japan among March 2001 and September 2005. His study
included various variables such as Japan stock index prices, USA stock index prices,
Yen/USD exchange rates, Japan interest rates. As a result, he found that interest rates have
no effect on Japan stock prices but, exchange rates and USA stock prices have effects on
Japan stock prices.
Ologunde et al. (2006) employed a time series analysis to examine the effect of interest
rate on some certain variables such as SMCR and government development stock rate
between 1981-2000 years. They used the ordinary least-square (OLS) regression method
and used yearly data. They found that interest rates have a positive influence on SMCR and
a negative influence on government development stock rate. They also found that
government development stock rate has a negative influence on SMCR.
Mahmudul and Gazi (2009) investigated the relationship between interest rate and stock
price for 15 developed and developing countries including Australia, Bangladesh, Canada,
Chile, Colombia, Germany, Italy, Jamaica, Japan, Malaysia, Mexico, Philippine, S. Africa,
Spain, and Venezuela. They used monthly data from 1988 to 2003. They found that
interest rates have a significant and negative relationship with share prices for most of the
countries. Only six countries -Malaysia, Japan, Bangladesh, Colombia, Italy, and S. Africa
are found that changes of interest rates have a significant and negative relationship with
changes of share price.
Büyükşalvarcı (2010) analyzed the effects of certain macroeconomic variables on share
index by arbitrage pricing model. The model contains seven macroeconomic variables
(consumer price index, money market interest rates, industrial production index, gold
prices, oil prices, exchange rates, money supply) and Istanbul Stock Exchange 100 Index
returns. The dynamics between the seven variables and Istanbul Stock Exchange 100 Index
returns are introduced by a multiple regression method. As a conclusion, interest rates,
industrial production index, oil prices and exchange rates have negative effects on Istanbul
Stock Exchange 100 Index returns, but money supply has a positive effect on Istanbul
Stock Exchange 100 Index returns. Inflation rate and gold prices have no significant effect
on Istanbul Stock Exchange 100 Index returns.
4. Methodology
In this section of the study, the relationships between SMCR and interest rates in Turkey
over the period 1998-2012 is analyzed using time series methods of co-integration and
Granger Causality. For that purpose, data set will be defined first, and then time series
properties of the series will be tested.

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�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

4.1. Data Description
In the study, an empirical analysis was made to detect the relationships between the ISE
SMCR and interest rate with a VAR model. For this purpose, quarterly data between
1998:Q1 and 2012:Q3 periods were included.
Market Capitalization data is obtained from the website of ISE or at present name
Borsaİstanbul. The SMCR is defined as market capitalization data divided by GDP. Data
for the interest rate was retrieved from the website of the TCMB (Central Bank of Turkey).
Data set and definitions can be seen in Table 1.
Table 1: Data Set
Variable
dMSC
dintr

Definition
SMCR
Interest rate

Ratio of stock market capitalization to GDP
2 to 14 days weighted average interest rate

4.2. Methodology and Empirical Results
Initially we graph the series, it is seen that there is no stationarity for both of the series. If
the series are not stationary in level, variance and covariance of the series are not fixed in
the research period.
Graph 1:Variables Volatility
140
120
100
80
60
40
20
0
98

99

00

01

02

03

04
MCR

05

06

07

08

09

10

11

12

REPO

After an observational look, the stationary of each variable were tested by unit root tests to
determine their level of stationarity. Stationary variables could be used in the model. Then,
a VAR model is estimated, granger causality, impulse- response functions and variance
decomposition were tested in order to emphasize the dynamic properties of the system.
4.2.1. Unit Root Test
Stationarity of the time series is a salient pre-condition in future estimations. That is related
to the fact that if the analysis is conducted with non-stationary time series, spurious
regression problem occurs. In such a case, series with no actual interrelationship may seem
as if they are interrelated (Özata and Esen, 2010). In this study stationarity of the variables
130

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

are tested by unit root tests of Augmented Dickey-Fuller (ADF), Philips-Peron (PP) and
KPSS. None of the series is found to be stationary as a result of ADF, PP and KPSS test
results. All of the series become stationary when their first differences are taken.
Therefore, all of the series are first-order integrated I (1). As a consequence, differenced
series are used in the analysis. Results of the unit root tests are presented in Table 2.
Table 2: Unit root test results
dMCR
dINT

TEST

ADF(c)

-7.610268

-5.406468

ADF(t)

-7.539280

-5.548979

PP (c)

-8.225866

-14.92046

PP(t)

-8.173137

-18.86397

KPSS(c)

-0.099097

0.500000

KPSS(t)

0.105651

0.500000

*c with constant term but no trend.
*t with constant term and trend.

4.2.2. Cointegration Test
Unit root tests revealed that the series are stationary at first level, so they are integrated.
But, even the series are integrated; it does not guarantee that they behave in the same
direction in the long term. Long term relationships between two non-stationary series can
be detected by cointegration analysis. There are certain tests to perform cointegration
analysis. In this study, long term relationship between the cointegrated series is tested by a
Johansen cointegration test (1988). Johansen cointegration test provide us to determine the
number of cointegration relationship and the parameters of this relationship (Özata and
Esen, 2010).
Prior to the implementation of the Johansen Cointegration Test, the unrestricted Vector
Autoregression (VAR) model was applied on the series to determine lagged ratios. Lagged
ratio is taken as 2 according to the SC, HQ and LR criteria. The Johansen Cointegration
test results, the Trace Test and the Maximum Eigenvalue test results are illustrated in Table
3 and Table 4.

Hypothesized
No. of CE(s)
None (r=0)
At most 1 (r≤1)

Table 3: Trace Test Results
Eigenvalue
Trace
%5 Critic
Statistics
Value

Probability

0.430888

49.95243

15.49471

0.0000

0.291460

18.95016

3.841466

0.0000

131

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 4: Maximum Eigenvalue Test Results
Hypothesized
Eigenvalue Maximum %5 Critic Probability
No. of CE(s)
Eigenvalue
Value
Statistics
None (r=0)
At most 1 (r≤1)

0.430888

31.00227

14.26460

0.0001

0.291460

18.95016

3.841466

0.0000

Trace test and Maximum Eigenvalue test results shows that we can reject the null
hypothesis:
Ho: There is no cointegration,
As a conclusion, we can state that there is a long term relationship between the variables.
Engle and Granger (1987) emphasized that an error correction model can be set when there
is long term relationship between the variables. In other words, a bias of the long term
equilibrium can be corrected. Correction of the bias in the regression can be made by an
error correction term (ECT). Therefore, Granger causality of the model should be based on
an error correction model (VECM).
4.2.3 Vector Error Correction Model
The main advantage of the error correction model is that it enables to benefit the sub
information of the series in the short term and long term. It also provides to eliminate the
spurious regression (Sevüktekin and Nargeleçekenler, 2010).
Therefore, for long term relationship, a dynamic specification of error correction (VECM)
model can be defined as:
k

k

Jk1

Jk1

Y1t   0   1 j Y1t  j   2 j Y2t  j  1 ECTt 1   1t

(1)

Y2t   0   1 j Y1t  j    2 j Y2t  j  2 ECTt 1   2t
(2)
J 1
J 1
ECTt-1 is the lagged value
of error correction model. Coefficients
λ1and λ2show the equilibrium ratio. When cointegration is considered,  1 j from the



equation 1 and 1 j from the equation are tested whether they are significant in group by Ftest and also coefficients of the error correction model λ1and λ2 are tested whether
significant or not (Özata and Esen, 2010).
4.2.3. Granger Causality Test
Results of the Granger Causality test using vector error correction model is presented in
Table 5.

132

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 5: Granger Causality Test Results
Hypothesis

m=2
P Value

Test
Statistics

SMCR does not Granger Cause interest rate
Interest rate does not Granger cause SMCR

0.08698

0.9168

0.08871

0.9153

The Granger Causality test results pointed at an inelastic relationship between SMCR and
interest rate. Therefore, changes in the SMCR are not sensitive to changes in interest rates.
In the contrary case, changes in the interest rates are not sensitive to changes in the SMCR.
4.2.4. Impulse-Response Functions
After testing causality, responses of the indices to an impulse in crude oil prices are
analyzed. Impulse response functions reveal the effects of an unexpected shock given to a
variable on the future values of its own and also other variables. As a result of impulse
response functions, dynamic relationships can be observed among the variables and also
the adjustment process can be detected.
Graph 2: Graphs of Impulse-Response Functions
Response of DREPO to Cholesky
One S.D. DMCR Innovation

Response of DMCR to Cholesky
One S.D. DREPO Innovation

1.5

.35

1.0

.30

0.5

.25

0.0

.20

-0.5

.15

-1.0

.10

-1.5

.05

-2.0

.00

-2.5

-.05
2

4

6

8

10

12

14

16

18

20

22

24

2

4

6

8

10

12

14

16

18

20

According to the impulse response functions, an unexpected change of SMCR has an
impact on interest rate during 16 periods and afterwards the effects disappear. And also an
unexpected change of interest rate has an impact on SMCR during 17 periods. These
results support the long term relationship between the two determinants.
4.2.5. Variance Decomposition
Variance decomposition indicates the amount of information each variable contributes to
the other variables in a vector autoregression (VAR) model (Lütkepohl, 2007). In other
words, variance decomposition determines how much of the forecast error variance of each
variable can be explained by exogenous shocks to the other variables. Accordingly, the
results of the variance decomposition of our variables are as given in Table 6 and Table 7.

133

22

24

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Table 6: Variance Decompositions of SMCR
Period

DMCR

DINTR

1

100

0

6

97.36711

2.632890

12

97.87258

2.127417

Variance decomposition of SMCR is shown in table 6. As a result of the variance
decomposition tests, 100 % of the forecasting error variance of SMCR is explained by
itself in short term. In midterm 2.633 % forecasting error of the SMCR can be explained by
interest rate, 97.367 % is explained by itself and in the long term 2.127 of SMCR can be
explained by interest rate and 97.872 % is explained itself.
Table 7: Variance Decompositions of Interest Rate
Period

DMCR

DINTR

1

3.452237

96.54776

6

7.815995

92.18401

12

9.433681

90.56632

Variance decomposition of interest rate is shown in table 7. According to table 7, in short
term 3.452 % of the forecasting error variance of interest rate is explained by SMCR and
96.547 % of forecasting error variance is explained by itself. In midterm 7.815 % of
forecasting error variance of interest rate is explained by SMCR and 92.184 is explained
by itself. At the last, in the long term, 9.433 % of forecasting error variance of interest rate
is explained by SMCR and 90.566 is explained by itself.
As a conclusion; results of the variance decompositions of SMCR show that there is no
short term, midterm and long term significant relationship between SMCR and interest
rate. But variance decomposition of interest rate result is consistent with the results of the
cointegration analysis. If the time becomes longer, the relationships become more visible.
5. Summary and Concluding Remarks
This study examined the relationship of interest rates on the SMCR in ISE over the period
1998-2012 with VAR model. Time series of the data are found non-stationary so that the
long term relationships between the two variables are tested with cointegration analysis.
According the results of the model, there is a long term relationship between the SMCR
and interest rate but contrarily there is no granger causality relationship. The results
showed that, crisis in the stock market are precluded with the control of interest rate in the
long term.

134

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

The findings of the Variance Decomposition tests indicate that 2.127 % of forecasting error
variance of the SMCR can be explained by interest rate, 97.87 % is explained by itself;
likewise 90.56 % of interest rate is determined by itself and 9.43 % is explained by the
SMCR.
The cointegration relationship between the interest rates and SMCR is inconsistent with the
inferences of the efficient market hypothesis. Mainly, stock market can be estimated under
the efficient market hypothesis. If the economic policies implemented by the policy makers
do not influence the stock market as planned, they have to revise these economy policies.
If the policy makers try to cure the economic problems like high inflation or
unemployment, they have to consider the extensive effects of these policies because
adverse effects can be observed in stock markets. As a result, capital formation may
decrease and economy may disrupt.
REFERENCES
Arango, L., Gonzalez, A.&amp; Posada, C. (2002). Returns and interest rate: A nonlinear
relationship in the Bogota stock market. Applied Financial Economics, 12(11),
835–842.
Aydemir, O. &amp;Demirhan, E., (2009).The relationship between stock Prices and exchange
rates evidence from Turkey.International Research Journal of Finance and
Economics, 23, 208-215.
Büyükşalvarcı, A. (2010).The effects of macroeconomics variables on stock returns:
Evidence from Turkey. European Journal on Social Science.14(3), 404–416.
Engle, R.F. &amp; Granger, Cwj. (1987).Cointegration and error correction: Representation,
estimation and testing. Econometrica, 55, 251–276.
Fama, E. F.(1981). Stock Return, real activity, inflation, and money. American Economic
Review, 71(4), 545–65.
French KR., Schwert GW.&amp;Stambaugh RE (1987). Expected stock returns and volatility.
Journal of Finance Economics. 19, 3–29.
Gan,C., Lee, M., Yong, H.H.A., &amp; Zhang, J. (2006). Macroeconomic variables and stock
market interactions: New Zealand evidence. Investment Management and Financial
Innovations,3(4), 89–101.
Hondroyiannis, G.&amp;Papapetrou, E. (2001). Stock market performance and macroeconomic
experience in Greece.Greek Economic Review, 21 (2), 65–84.
Johansen, S.(1988). Statistical analysis of cointegration vectors.Journal of Economic
Dynamics and Control, 12, 231–254.
Kurihara, Y. (2006), The relationship between exchange rate and stock prices during the
quantitative easing policy in Japan, International Journal of Business, 11(4), 375–
386.

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Lütkepohl, H. (2007). Econometric Analysis with Vector Autoregressive Models,
European University Institute Working Paper ECO, 43.
Mahmudul, A.&amp;Gazi Salah, U. (2009). The relationship between interest rate and stock
price: Empirical evidence from developed and developing countries. International
Journal Of Business And Management. 4(3), 43–51.
Maysami, R.C.&amp;Koh, T.S.(2000). A vector error correction model of the Singapore stock
market.International Review of Economics and Finance, 9, 79–96.
Ologunde, A.O., Elumilade, D.O.&amp;Asaolu, T.O. (2006). Stock market capitalization and
interest rate in Nigeria: A Time Series Analysis.International Research Journal of
Finance and Economics, 4, 154–167.
Özata, E. &amp;Esen, E. (2010). Reel ücretlerileistihdamarasındakiilişkininekonometrikanalizi.
Journal OfAnadolu University Social Sciences. 10, 55–70.
Pallegedara, A. (2012). Dynamic relationships between stock market performance and
short term interest rate empirical evidence from Sri Lanka. University Library of
Munich, MPRA Paper 40773, Germany.
Sevüktekin, M.&amp;Nargelecekenler, M. (2010).
Eviewsuygulamalı. Ankara, Nobel Pres.

Ekonometrikzamanserilerianalizi:

Simpson, J.L. &amp; Evans, J.P. (2003).Banking stock returns and their relationship to interest
rates and exchange rates: Australian Evidence.University of Wollongong in Dubai
Working Paper, 5, 1–35.
Zhou, C., (1996). Stock market fluctuations and the term structure.Board of Governors of
the Federal Reserve System, Finance and Economics Discussion Series, 96/03.

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                <text>This paper investigates the long run and short-term relationships between  stock market capitalization rate and interest rates in Turkey over the  period 1998-2012. Prior to conducting the analysis in a time series, in  order to test the stability of the series, a unit root test was initially applied.  It is determined that both stock market capitalization rate and interest rate  series are not stationary. Long-run relationship is tested by Johansen  Cointegration tests and casual relationship is tested by Granger Causality  tests. According to the results of the study, there is long-run relationship  between stock market capitalization rate and interest rates while there is  not causal relationship between stock market capitalization rate and  interest rates in short term.  Keywords: Stock Market Capitalization Rate, Interest Rates, Cointegration,  Vector Error Correction Model (VECM), Causality.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Effects of Capital Structure Decisions on Firm
Performance: Evidence from Turkey
Cengiz Toraman
University of Gaziantep, Gaziantep, Turkey
ctoraman@gantep.edu.tr
Yunus Kılıç
University of Gaziantep, Gaziantep, Turkey
ykilic@gantep.edu.tr
Şükriye Gül Reis
University of Gaziantep, Gaziantep, Turkey
greis@gantep.edu.tr
The capital structure decisions of firms have a crucial importance on firms’ financial
performance. The capital structure concept is generally described as the
combination of debt and equity that make the total capital of firms. The selection
of capital components and use of these components play an important role during
the determining of financial strategies. Therefore, it is difficult to choose ideal
proportion of debt and equity. A good equilibrium of debt and equity can affect the
financial performance of company and the value of company. The profitability of an
enterprise is directly affected by capital structure decision.
Capital structure is the one of the most puzzling issues on corporate finance
literature. Beginning with the Modigliani and Miller’s (1958) research, there have
been a number of studies which have investigated the relationship between capital
structure and financial performance. Modigliani and Miller suggest that the value
of a firm is independent from its capital structure in an efficient market when there
is no tax factor. Thereby optimal capital structure cannot be reached according to
Modigliani and Miller’s approaches. This approach has been taken a number of
interests from scholars. The research came in for criticism since capital markets are
quite different from efficient market which Modigliani and Miller’s study based on.
The aim of this study is to investigate the effects of capital structure decisions on
firms’ profitability in manufacturing sector in Turkey. The data used in this research
corresponds to the financial statements of manufacturing companies collected
between 2002 and 2011. The regression analysis was employed by using financial
ratios obtained from financial statements of firms within the scope of analysis. As a
result, the capital structure components which have influence on firm performance
have been determined and general assessment has been made.
Keywords: Capital Structure, Firm Performance, Optimal Capital Structure,
Profitability, Financial Leverage, Regression Analysis.

79

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KILIC, Yunus
GUL REIS, Sukriye</text>
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                <text>The capital structure decisions of firms have a crucial importance on firms’ financial  performance. The capital structure concept is generally described as the  combination of debt and equity that make the total capital of firms. The selection  of capital components and use of these components play an important role during  the determining of financial strategies. Therefore, it is difficult to choose ideal  proportion of debt and equity. A good equilibrium of debt and equity can affect the  financial performance of company and the value of company. The profitability of an  enterprise is directly affected by capital structure decision.  Capital structure is the one of the most puzzling issues on corporate finance  literature. Beginning with the Modigliani and Miller’s (1958) research, there have  been a number of studies which have investigated the relationship between capital  structure and financial performance. Modigliani and Miller suggest that the value  of a firm is independent from its capital structure in an efficient market when there  is no tax factor. Thereby optimal capital structure cannot be reached according to  Modigliani and Miller’s approaches. This approach has been taken a number of  interests from scholars. The research came in for criticism since capital markets are  quite different from efficient market which Modigliani and Miller’s study based on.  The aim of this study is to investigate the effects of capital structure decisions on  firms’ profitability in manufacturing sector in Turkey. The data used in this research  corresponds to the financial statements of manufacturing companies collected  between 2002 and 2011. The regression analysis was employed by using financial  ratios obtained from financial statements of firms within the scope of analysis. As a  result, the capital structure components which have influence on firm performance  have been determined and general assessment has been made.  Keywords: Capital Structure, Firm Performance, Optimal Capital Structure,  Profitability, Financial Leverage, Regression Analysis.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Effects of the global economic crisis and public spending
on income distribution in Bosnia and Herzegovina
Naida Trkid-Izmirlija
University of Sarajevo, Sarajevo, Bosnia and Herzegovina
n_trkic@bih.net.ba
Adnan Efendid
University of Sarajevo, Sarajevo, Bosnia and Herzegovina
adnan.efendic@efsa.unsa.ba
This research focuses on the relationship between public spending and
income distribution in Bosnia and Herzegovina (B&amp;H). In our empirical
strategy we rely on a unique survey data used to establish a proxy for
inequality over the observed period 2000-2010. In addition, we investigate
the consequences of contemporary global economic and financial crisis on
income distribution. We find indications that the global economic crisis,
with its B&amp;H onset in 2009-2010, has increased income inequality in B&amp;H.
Our findings also imply that increased public spending and improvement in
the quality of institutions in B&amp;H were supportive in reducing income
inequality over the observed period. After examining several institutional
indicators, we identify a particular importance of political stability in B&amp;H
as a determinant of income distribution and inequality. Disaggregated
analysis of public spending by functional and economic categories revealed
that higher expenditures for social protection and capital spending are
associated with lower income inequality. Contrary, higher expenditures for
education are linked with higher income inequality.
Keywords: Inequality, Income Distribution, Southeast Europe, Global
Economic Crisis, Public Spending, Education Expenditures, Health
Expenditures, Social Expenditures.

221

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EFENDIĆ, Adnan</text>
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                <text>This research focuses on the relationship between public spending and  income distribution in Bosnia and Herzegovina (B&amp;H). In our empirical  strategy we rely on a unique survey data used to establish a proxy for  inequality over the observed period 2000-2010. In addition, we investigate  the consequences of contemporary global economic and financial crisis on  income distribution. We find indications that the global economic crisis,  with its B&amp;H onset in 2009-2010, has increased income inequality in B&amp;H.  Our findings also imply that increased public spending and improvement in  the quality of institutions in B&amp;H were supportive in reducing income  inequality over the observed period. After examining several institutional  indicators, we identify a particular importance of political stability in B&amp;H  as a determinant of income distribution and inequality. Disaggregated  analysis of public spending by functional and economic categories revealed  that higher expenditures for social protection and capital spending are  associated with lower income inequality. Contrary, higher expenditures for  education are linked with higher income inequality.  Keywords: Inequality, Income Distribution, Southeast Europe, Global  Economic Crisis, Public Spending, Education Expenditures, Health  Expenditures, Social Expenditures.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Ethical Issues of the Child as Consumer
Edina Trnka Zeljkovid
Islamic Parental Association “ISRA”, Sarajevo, Bosnia and Herzegovina
edinatrnka@hotmail.com
This paper, entitled as "Ethical issues of the child as consumer" deals with
the major issues related to child as consumer and children's marketing.
Issues related to child as consumer are: what children buy how parents
affect children's consumer behavior, how children affect purchase decision
of their families and how relationship with peers affects children's
purchase decisions? Issues related to children's marketing are what the
effect of marketing on children’s behavior is and how children process
advertising messages. Special emphasis is on techniques that marketers
use when communicating with this group. The most important techniques
are those that are used on television and internet. Emphasis is also on
ethical issues of the marketing which has children as its target group.
Those ethical issues are from critics of marketing that it misleads children
to claims that it causes obesity and unhappiness. Main ideas of work are
that children are an important market for the producers and they have a
great market potential. Children are primary market for some products,
but they are also future market for products that they will use in future
and influential market on their families. They are group that is particularly
vulnerable to the messages that are sent to them. Children under age of 8
can't understand intention of advertiser which makes them easy to
mislead. Literature of significant authors in this field is used, such as:
McNeal, Gunter, Furnham, Calvert and others. Attention was also on
expert articles from this field. Content analysis of advertising messages
aimed at children in Bosnia and Herzegovina led to conclusion that those
messages are unethical in a large percentage. Unethical messages are
mostly in contrast of moral and social standards and they bring up false
claims. Besides that, in advertising messages for product that are intended
for parents children are used to encourage them on purchase. The study of
regulation of marketing to children in developed markets and in Bosnia
and Herzegovina proved that regulations of children's marketing in Bosnia
and Herzegovina isn't regulated enough by standards and norms. Bosnian
regulations are inconsistent with international standards that regulate this
field globally.
Keywords: Children’s Marketing, Advertising Messages Aimed At Children,
Criticism Of Marketing To Children, Regulation Of Marketing To Children.
90

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                <text>TRNKA ŽELJKOVIĆ, Edina</text>
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                <text>This paper, entitled as "Ethical issues of the child as consumer" deals with  the major issues related to child as consumer and children's marketing.  Issues related to child as consumer are: what children buy how parents  affect children's consumer behavior, how children affect purchase decision  of their families and how relationship with peers affects children's  purchase decisions? Issues related to children's marketing are what the  effect of marketing on children’s behavior is and how children process  advertising messages. Special emphasis is on techniques that marketers  use when communicating with this group. The most important techniques  are those that are used on television and internet. Emphasis is also on  ethical issues of the marketing which has children as its target group.  Those ethical issues are from critics of marketing that it misleads children  to claims that it causes obesity and unhappiness. Main ideas of work are  that children are an important market for the producers and they have a  great market potential. Children are primary market for some products,  but they are also future market for products that they will use in future  and influential market on their families. They are group that is particularly  vulnerable to the messages that are sent to them. Children under age of 8  can't understand intention of advertiser which makes them easy to  mislead. Literature of significant authors in this field is used, such as:  McNeal, Gunter, Furnham, Calvert and others. Attention was also on  expert articles from this field. Content analysis of advertising messages  aimed at children in Bosnia and Herzegovina led to conclusion that those  messages are unethical in a large percentage. Unethical messages are  mostly in contrast of moral and social standards and they bring up false  claims. Besides that, in advertising messages for product that are intended  for parents children are used to encourage them on purchase. The study of  regulation of marketing to children in developed markets and in Bosnia  and Herzegovina proved that regulations of children's marketing in Bosnia  and Herzegovina isn't regulated enough by standards and norms. Bosnian  regulations are inconsistent with international standards that regulate this  field globally.  Keywords: Children’s Marketing, Advertising Messages Aimed At Children,  Criticism Of Marketing To Children, Regulation Of Marketing To Children.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Implementation of MIS in Banks of Tuzla Canton
Danel Trumic
International Burch University, Sarajevo, Bosnia and Herzegovina
danel_tr@hotmail.com
Meliha Handzic
International Burch University, Sarajevo, Bosnia and Herzegovina
mhandzic@ibu.edu.ba
Management Information Systems (MIS) are playing an important role in
the banking sector. Increasing speed and power of information and
communication technologies and their innovative applications enable
banks operating in developed economies to gain competitive advantage
and enhance their customer satisfaction. The purpose of this study is to
investigate the issue in the case of a transitional economy.
In particular, a survey study was conducted to audit the implementation of
MIS in the banking sector of Canton Tuzla, Bosnia and Herzegovina. The
data were collected from the employees who were users of MIS in major
banks operating in Canton Tuzla. The collected data were analyzed using
descriptive tests. The results revealed some interesting patterns. These
findings and their implications are discussed in detail. In the end, some
plausible directions are recommended for future research.
Keywords: Management Information Systems, Bosnia and Herzegovina,
Bank

84

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                    <text>International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

The Implementation of MIS in Banks of Tuzla Canton
DanelTrumic
International Burch University, Sarajevo, Bosnia and Herzegovina
danel_tr@hotmail.com
MelihaHandzic
International Burch University, Sarajevo, Bosnia and Herzegovina
mhandzic@ibu.edu.ba
Abstract
Information Systems (IS) are playing an important role in the banking sector.
Increasing speed and power of information and communication technologies and their
innovative applications enable banks operating in developed economies to gain
competitive advantage and enhance their customer satisfaction. The purpose of this
study was to investigate the role of banking IS in the context of a transitional
economy. In particular, a survey study was conducted to audit the implementation of
IS in banks operating in Canton Tuzla, Bosnia and Herzegovina. The data were
collected from the employees who were users of IS in these banks. The collected data
were analysed using descriptive tests. The results revealed some interesting patterns.
These findings and their implications are discussed in detail and some plausible
directions are recommended for future research.
Keywords: Information systems (IS), IS sophistication, IS usage, IS success, banking
sector, survey study, Bosnia and Herzegovina

Introduction
Banksarebecomingincreasinglydependant on informationsystems (IS) fortheirday-todayperformance. IS isplaying a vital role in increasingefficiencyandreducingcost, as well
as in differentiation of bankingproductsfromitscompetitors.
Increasingspeedandpower
of
informationandcommunicationtechnologiesandtheirinnovativeapplicationsenablebanksoper
ating
in
developedeconomiestogaincompetitiveadvantageandenhancetheircustomersatisfaction.
However,
thenewrequirementsforinformation,
largeexposuresandstresstestingpresentnewchallengestothefinancialsector.
Therefore,
banksneedtocontinuoslylook at how theyareaddressingthere IS requirements.
The 2011 survey of managementinformationsystemsconductedbytheAssociation of
ForeignBanks
(2011)
reportedslowprogressfromtoomuchdependence
on
spreadsheetstoincreasedinvestments
in
businessintelligencetechnology.
However,
verylittleresearchexiststhatinvestigatesthe role of IS in thebankingsector of
thedevelopingandtransitionaleconomies.
Recognisingtheimportance of the role that IS plays in thebankingsector, thepurpose of
thisstudy is toaddresstheissue in thecontext of BosniaandHerzegovina. Inparticular,
thestudyaimstogain an insightintothestate of IS implementation in thebanksoperating in

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Tuzla Canton, a region of BosniaandHerzegovina. Canton Tuzla is a homeregion of one of
theauthorsandtherefore of specialinterest.
LiteratureReview
Information systems (IS) are defined as inter-related sets of hardware, software, people,
procedures and data components (Turban et al, 1999). The main goal of IS is to collect,
manipulate and disseminate information in order to help individuals and collectives to
improve their business operation and decision making.
The literature classifies IS into different types on the basis of the activities and functions
they support (Laudon and Laudon, 2006, 2007). The major types of IS mentioned in the
literature include: Transaction Processing Systems; Enterprise Systems that cover Supply
Chain Management Systems and Customer Relationship Management Systems, as well as
various Functional Information Systems such as Human Resources Management Systems,
Accounting, Finance, Marketing Information Systems; Managerial Support Systems that
include Management Information Systems, Decision-Support Systems, Executive Support
Systems, Knowledge Management and Business Intelligence Systems, There are also
special purpose systems like Geographic Information Systems.
The role of transaction processing systems is seen in capturing and recoding daily business
transactions such as sales, receipts, orders, cash deposits, payroll records etc. Management
information systems support operational management by summarising and reporting basic
operations using data from the transaction processing systems. Decision support systems
focus on solving semi-structured decision problems. Executive support systems are
concerned with internal and external data needed for long-term planning. More recently,
knowledge management and business intelligence/analytics systems are becoming popular
means of support for organisational knowledge development and transfer (Post and
Anderson, 2006; Oz, 2009).
Enterprise systems comprise of two major subsystems: supply chain management and
customer relationship management systems. The first one supports purchasing of raw
materials, and manufacturing and assembly activities. The second one manages
organisation’s relationships with customers. The major goal is to increase the quality of
customer service. Enterprise systems also include various functional systems (eg. human
resources, accounting and finance management) that provide support for secondary
activities in the value chain.
All these types of systems can be found in the banking sector where they support various
primary and secondary value chain activities. For example, retail banks use internet and
phone banking to provide maximum customer services on loans, accounts, credit cards,
insurance, etc. (Pond, 2007). Wholesale banking provides internet solutions for
commercial banking, corporate banking, specialised lending services, treasury
management etc. (Hoyt, 2012). Customer identification (Rhodes, 2012) systems provide
security, employee records (Islam, 2011) monitor the working efficiency of an employee,
complaints system gives an opportunity to a customer to complain via a written and online
communication (European Investment Bank, 2010; Uppal, 2010). Account opening is
simplified (Sinha 2012) and ATM enables easy withdrawal of cash (Hayashi et al, 2006).
Electronic banking has been seen as an inevitable aspect of financial services (Harris and
Spence, 2012). More recently, mobile banking is being encouraged (Hayashi, n.d.).
Electronic clearing service deals with bulk and repeating payment transactions (Reserve

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Bank of India, 2011). RTGS (real time gross settlement) service facilitates interbank
money transfer (Kaushik, 2012). Finally, e-billing solutions increase convenience and
decrease biller’s cost (Radecki and Wenninger, 1999).
Research Methodology
Descriptive survey was selected as a preferred research method to investigate the level of
sophistication, usage and impact of information systems (IS) implemented in major banks
operating in Canton Tuzla. This method enabled systematic gathering of quantitative data
from a sample of individuals for the purposes of describing the attributes of the larger
population of which the individuals were members (Glock, 1967).
For the purpose of the current study, IS sophistication was evaluated in terms of the
availability and quality of various IS types from the bank employee-user point of view. IS
usage was examined in terms of the level of support provided for internal bank activities,
as well as bank obligations towards external regulatory bodies. Finally, IS impact was
assessed in terms of its perceived effectiveness and user satisfaction.
The collection of data was carried out through surveys of employees who were working in
different bank departments. A total of 21 employees from 4 different banks participated in
the study on a voluntary basis. The survey forms were distributed to respondents
personally by one of the researchers. The names of the participating banks and employees
are not disclosed in this paper in order to protect their privacy.
In responding to the survey questions, the respondents provided basic demographic
information (ie. position, education, experience, sex, age, duties). Then they rated various
aspects of their bank IS (ie. sophistication, usage, impact) on seven-point Likert scales,
with 1 and 7 representing the most negative and positive end-points. They were also asked
to provide optional textual comments and/or suggestions. Their responses were encoded
and analysed using MS Excel descriptive statistics. In addition, bank websites and
documents were used to collect secondary data about the prevailing bank culture and
strategy.
Results
The overall results shown in Table 1 indicate that almost all aspects of the banking IS were
positive. These positive assessments were demonstrated by the average scores greater than
4 (out of 7). The only negative assessment was obtained for ERP. Its average score of 3.79
was lesser than 4 (out of 7). Respondents were somewhat undecided with respect to IS
Usage for fulfilling their bank obligations towards state. This was demonstrated by the
overall mean score equal to 4 (out of 7). The results further show that all average scores
were below 7. Such scores point to major weaknesses and obstacles and indicate that there
is room for further improvement.
The most sophisticated types of IS were electronic banking (6.57) and communication
systems (6.43). They were followed by basic banking system (5.90), clearing system (5.76)
and RTGS (5.71). Business intelligence systems were fairly good (4.80). In contrast,
enterprise resource planning systems were poor (3.79).

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With respect to IS usage, the results indicate that the systems were used mostly for
management support (6.06). This was followed by fullfiling obligations towards regulatory
bodies (5.35). As mentioned before, respondents were unsure about IS usage for fullfiling
obligations towards state.
The results for IS impact show that the users of the evaluated bank IS were very satisfied
with their systems (6.43) and that these systems were highly effective (6.14) in supporting
their work.
Table 1: Mean Respondents’ Scores of Various IS Aspects Examined
Aspect of Information Systems
IS Sophistication:
Basic banking system
Business intelligence
Enterprise resource planning
Electronic banking
RTGS
Clearing system
Communication systems
IS Usage:
Management support
Support for obligations towards regulatory bodies
Support for obligations towards state
IS Impact:
System effectiveness
User satisfaction

Score
5.90
4.80
3.79
6.57
5.71
5.76
6.43
6.06
5.35
4.00
6.14
6.43

Further analysis of collected data was performed to examine any potential differences
among four banks with respect to their IS sophistication, IS usage and IS impact. The
results of the comparative analysis among banks is presented in Figure 1.

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Figure 1: Comparative Analysis of IS Aspects in Four Banks
Figure 1 shows clear differences between four banks. One bank (bank 4) has much higher
scores than other three banks (bank 1,2,3) for all three IS aspects evaluated. The mean
score for IS sophistication of bank 4 (6.90) is higher than those of bank 2,1 and 3 (5.43,
5.33 &amp; 5.14). Similarly, the mean score for IS usage of bank 4 (7.00) is higher than those
for bank 3,2 and 1 (5.33, 4.76 &amp; 4.71). Finally, The mean score for IS impact of bank 4
(7.00) is higher than those for other banks 2,3 and 1 (6.29,6.13 &amp; 6.07).
Only three respondents from the same bank gave written comments. Two were negative
and one positive. One respondent commented that the bank had “poor equipment”, and
another one that the bank “needs to improve its information system due to frequent break
downs”. In contrast, the third respondent from the same bank claimed that “in our bank, all
functions well”.
Discussion
This study examined the implementation of IS in the banking sector of one specific region
(Canton Tuzla) of a national economy in transition (Bosnia and Herzegovina). The study
found out that the banks operating in this economy and region: (a) possess sophisticated IS,
(b) use IS extensively to support their banking activities; and (c) banking IS have positive
impact on business. The study also determined that some banks were more successful than
others in implementing IS.
With respect to IS sophistication, the overall findings indicate that transaction processing
types of systems were highly sophisticated, business intelligence systems were fair, while
enterprise resource planning systems were poor. Such findings are consistent with early
stages of IS maturity. They suggest the need to better integrate disparate functional
systems, as well as front-end and back office systems in order to provide full support along
the primary upstream/downstream and supporting activities in the value chain. The
findings also suggest that the banks could better use their business intelligence systems to
discover valuable patterns from their transaction data.

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The overall findings regarding IS usage indicate that the systems were mainly used for the
operational management, and to a lesser extent for fulfilling regulatory obligations and still
lesser extent for fulfilling state obligations. This is consistent with the earlier study finding
of poor integrated enterprise systems and fair business intelligence systems. Yet, these
systems are essential for providing key performance indicators across banking activities.
Finally, he study found that the participants were overall satisfied with their IS and
perceived them as effective in supporting their daily work. Given that most respondents
were employees in positions of tellers, cashiers and bank officers rather than managers,
this is not surprising. These employees were prime users of various transaction processing
systems that were assessed as highly sophisticated and used to support operational
management.
However, a comparative analysis of four banks showed that one bank was more successful
than other three banks in implementing a successful IS system. Bank 4 was dominant with
perfect or near-perfect mean scores on all three aspects of IS (sophistication, usage and
impact) that were evaluated.
Deeper analysis of this bank revealed that it was a very successful big international bank
with very high standards established in every aspect of their operation. In contrast, the
other three banks need a lot of catching up. The encouraging finding from one of these
banks is that some respondents from this bank recognised the problem they had with poor
equipment and frequent system break downs.
Conclusions
This study made two important contributions to research and practice. For research, the
study provided an insight into the state of IS implementation in the context of a transitional
economy and at a regional level. The findings revealed notable differences among banks
and system types implemented. For practice, the study pointed out major weaknesses and
obstacles that need to be overcome by banks in order to provide full support for their
banking activities.
However, the study is not without limitations. It examined IS implementation from the
bank employees’ rather than the bank customers’ perspective. The number of participants
was rather small. This may affect its reliability. Data were collected in Bosnia and
Herzegovina. The question is whether these results would hold in a different economy and
culture.
Further research is recommended to overcome these limitations. Future research may
replicate and extend the current investigation to other contexts, systems and subjects in
order to verify and generalise these findings. Future research is also encouraged to develop
new research models and variables aimed at enriching our collective understanding of the
successful IS implementation.
References
Association of Foreign Banks (2011), Management Information Systems: Survey 2011,
Cambridge Corporate Management, UK.

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Glock, C.Y. (1967) Survey Research in the Social Sciences. Russell Sage Foundation, New
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Terms of Reference and Rules of Procedure.Retrieved December 20, 2012 from
http://www.eib.org/attachments/strategies/complaints_mechanism_policy_en.pdf.
R. K. Uppal(2010). Customer complaints in banks: Nature, extent and strategies to
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Fumiko Hayashi, Richard Sullivan, Stuart E. Weiner (2006). A Guide to the ATM and
Debit Card Industry (2nd. ed.) Payments System Research, Federal Reserve Bank
of Kansas City, Kansas City, Missouri, USA.

Dr Lisa Harris, Dr Laura J. Spence (2002). THE ETHICS OF EBANKING.Retrieved on
December
26,
2012
from
http://www.csulb.edu/web/journals/jecr/issues/20022/paper5.pdf.

158

�International Conference on EconomicandSocialStudies (ICESoS’13), 10-11 May, 2013, Sarajevo

Fumiko Hayashi (n.d.). In Mobile Payments: What’s in It for Consumers?. Retrieved
November
04,
2012,
from http://www.kc.frb.org/publicat/econrev/pdf/12q1Hayashi.pdf
Reserve Bank of India (2011).Electronic Clearing Service (Credit) Procedural Guidelines.
Retrieved
on
December
23,
2012
from
http://rbidocs.rbi.org.in/rdocs/ECS/PDFs/ECR300411E.pdf.
MR. ARUN KUMAR KAUSHIK(2012). E-BANKING SYSTEM IN SBI.Retrieved on
December
23,
2012
from
http://zenithresearch.org.in/images/stories/pdf/2012/JULY/ZIJMR/7_ZIJMR_JUL
Y12_VOL2_ISSUE7.pdf.
Lawrence J. Radecki and John Wenninger (1999).Paying
Electronically.Retrieved
on
December
25,
http://ftp.ny.frb.org/research/current_issues/ci5-1.pdf.

159

Electronic
2012

Bills
from

�</text>
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                <text>Management Information Systems (MIS) are playing an important role in  the banking sector. Increasing speed and power of information and  communication technologies and their innovative applications enable  banks operating in developed economies to gain competitive advantage  and enhance their customer satisfaction. The purpose of this study is to  investigate the issue in the case of a transitional economy.  In particular, a survey study was conducted to audit the implementation of  MIS in the banking sector of Canton Tuzla, Bosnia and Herzegovina. The  data were collected from the employees who were users of MIS in major  banks operating in Canton Tuzla. The collected data were analyzed using  descriptive tests. The results revealed some interesting patterns. These  findings and their implications are discussed in detail. In the end, some  plausible directions are recommended for future research.  Keywords: Management Information Systems, Bosnia and Herzegovina,  Bank</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

Audit Tenure and Audit Quality: Evidence from Turkey
Ahmet Türel
İstanbul University, İstanbul, Turkey
aturel@İstanbul.edu.tr
Aslı Türel
İstanbul University, İstanbul, Turkey
Havva Nur Çiftçi
İstanbul University, İstanbul, Turkey
The rise of accounting scandals in the last decade has reduced trust of the
users in audited financial statements, so users have started questioning
the quality of audit work. This paper aims to test empirically whether
audit-firm tenure reduces audit quality. After the accounting scandals in
the USA and the Europe, and the associated failure of Arthur Andersen,
benefits of audit firm or partner rotation on audit quality becomes a
controversial subject. Sarbanes Oxley Act of 2002 considered audit firm
tenure as a potential area that needed to be investigated because the
consecutive years of auditor-client relationship has the potential to impair
auditor independence. It is argued that the audit quality and therefore the
quality of general purpose financial statements increase when a new
auditor with fresh and skeptical eyes evaluates the financial statements.
Using the same senior personnel on an audit engagement over a long
period of time believed to create self-interest and familiarity threats to
independence (Eilifsen, Messier, Glover and Prawit, 2010). For example, in
the Enron case, it appears that the auditors became too familiar with the
company personnel, such that independence in fact and in appearance
both may have been compromised (Ryken et al, 2007). Familiarity lead to
learned confidence about the results when making assumptions about
outcomes and using less rigorous audit procedures or static audit
programs.
According to the new Independent Audit Communiqué issued in December
2012 by Turkish Public Oversight Accounting and Auditing Standards Board
(POAASB), in an audit of the public interest entity, a firm shall not be the
auditor for more than seven years for the last ten years. In addition to
that, an individual shall not be a key audit partner for more than five years
in the last seven years. After such time the individual shall not be a

21

�International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

member of the engagement team or be a key audit partner for the client
for two years (Official Gazette, 25809).
This paper tests whether a statistically significant association exists
between the audit firm tenure with a client and evidence of reduced audit
quality as measured by the propensity of modified audit opinions. We
assume that the decline in audit quality is indicated by the auditor not
issuing a modified opinion for firms whose financial statements are
materially misstated. Based on a sample of 253 firms listed on İstanbul
Stock Exchange (ISE) and 2277 firm-year observations of audit reports
during the 2002-2010 periods, the analysis produces evidence that the
number of consecutive years of audit firm-client relationship negatively
affects the auditor quality measured by the propensity of modified audit
opinions. We choose the 2008 and 2009 periods for our main analysis
because in 2010 a mandatory audit firm rotation policy was executed for
the companies listed in the ISE. Before this period Turkey has an
environment where the rotation policy is not mandatory. The results of
this study are expected to contribute the regulation of the quality of
auditing by the regulator (POAASB) with regard to auditor rotation.
Keywords: Audit Tenure, Audit Quality, Audit Opinion, Independence

22

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TUREL, Asli
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                <text>The rise of accounting scandals in the last decade has reduced trust of the  users in audited financial statements, so users have started questioning  the quality of audit work. This paper aims to test empirically whether  audit-firm tenure reduces audit quality. After the accounting scandals in  the USA and the Europe, and the associated failure of Arthur Andersen,  benefits of audit firm or partner rotation on audit quality becomes a  controversial subject. Sarbanes Oxley Act of 2002 considered audit firm  tenure as a potential area that needed to be investigated because the  consecutive years of auditor-client relationship has the potential to impair  auditor independence. It is argued that the audit quality and therefore the  quality of general purpose financial statements increase when a new  auditor with fresh and skeptical eyes evaluates the financial statements.  Using the same senior personnel on an audit engagement over a long  period of time believed to create self-interest and familiarity threats to  independence (Eilifsen, Messier, Glover and Prawit, 2010). For example, in  the Enron case, it appears that the auditors became too familiar with the  company personnel, such that independence in fact and in appearance  both may have been compromised (Ryken et al, 2007). Familiarity lead to  learned confidence about the results when making assumptions about  outcomes and using less rigorous audit procedures or static audit  programs.  According to the new Independent Audit Communiqué issued in December  2012 by Turkish Public Oversight Accounting and Auditing Standards Board  (POAASB), in an audit of the public interest entity, a firm shall not be the  auditor for more than seven years for the last ten years. In addition to  that, an individual shall not be a key audit partner for more than five years  in the last seven years. After such time the individual shall not be a member of the engagement team or be a key audit partner for the client  for two years (Official Gazette, 25809).  This paper tests whether a statistically significant association exists  between the audit firm tenure with a client and evidence of reduced audit  quality as measured by the propensity of modified audit opinions. We  assume that the decline in audit quality is indicated by the auditor not  issuing a modified opinion for firms whose financial statements are  materially misstated. Based on a sample of 253 firms listed on İstanbul  Stock Exchange (ISE) and 2277 firm-year observations of audit reports  during the 2002-2010 periods, the analysis produces evidence that the  number of consecutive years of audit firm-client relationship negatively  affects the auditor quality measured by the propensity of modified audit  opinions. We choose the 2008 and 2009 periods for our main analysis  because in 2010 a mandatory audit firm rotation policy was executed for  the companies listed in the ISE. Before this period Turkey has an  environment where the rotation policy is not mandatory. The results of  this study are expected to contribute the regulation of the quality of  auditing by the regulator (POAASB) with regard to auditor rotation.  Keywords: Audit Tenure, Audit Quality, Audit Opinion, Independence</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

IFRS Adoption and Audit LAG: Evidence from Turkey
Aslı Türel
İstanbul University, İstanbul, Turkey
gunduzay@İstanbul.edu.tr
Ahmet Türel
İstanbul University, İstanbul, Turkey
aturel@İstanbul.edu.tr
Havva Nur Çiftci
İstanbul University, İstanbul, Turkey
hnciftci@İstanbul.edu.tr
International Financial Reporting Standards (IFRS) adoption by the
European Union is one of the biggest events in the history of financial
reporting, making IFRS the most widely accepted financial reporting model
in the world. The issue of complexity of IFRS has become a major concern
among the preparers of financial statements, directors and auditors. Since
IFRS demands detailed disclosures, it requires more effort and time to
conduct the audit. Investors need reliable and timely information in order
to take correct decisions, and auditing is the process that assures users of
the reliability of the financial information that they require. This paper
empirically examined whether IFRS adoption would affect audit lag. Also in
this paper we investigated the factors (company size, sign of income,
opinion, auditor size, sector, gearing, auditor change) that may affect the
audit lag. In 2008 listed companies in the İstanbul Stock Exchange (ISE) are
required to prepare their financial statements compatible with IFRS
adopted by the European Union. Companies that listed in the ISE must
submit their separate financial statements within 10 weeks and
consolidated financial statements within 14 weeks of the financial yearend. The sample comprises 248 companies listed in the ISE during the
period 2007 and 2008. The delays are measured as a function of the
number of days that elapse from the closure of the accounting period until
the date when the audit report is signed. In 2007, for solo financial
th
statement preparers 54% of them reported earlier than the expected 69
day after a company’s financial year-end. About 46% of the ISE listed
companies reported late. In 2008, for solo financial statement preparers
th
35% of them reported earlier than the expected 67 day after a company’s
financial year-end. About 65% of the ISE listed companies reported late. In
2007, for consolidated financial statement preparers 56% of them
40

�International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo
th

reported earlier than the expected 97 day after a company’s financial
year-end. About 46% of the ISE listed companies reported late. In 2008, for
consolidated financial statement preparers 49% of them reported earlier
th
than the expected 95 day after a company’s financial year-end. About
51% of the ISE listed companies reported late. According to our preliminary
results there is an increase in audit delay after IFRS adoption both for solo
and consolidated financial statements.
Keywords: IFRS, Financial Reporting, Audit Lag, Turkey, Timely Reporting.

41

�</text>
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TUREL, Ahmet
NUR CIFTCI, Havva</text>
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                <text>International Financial Reporting Standards (IFRS) adoption by the  European Union is one of the biggest events in the history of financial  reporting, making IFRS the most widely accepted financial reporting model  in the world. The issue of complexity of IFRS has become a major concern  among the preparers of financial statements, directors and auditors. Since  IFRS demands detailed disclosures, it requires more effort and time to  conduct the audit. Investors need reliable and timely information in order  to take correct decisions, and auditing is the process that assures users of  the reliability of the financial information that they require. This paper  empirically examined whether IFRS adoption would affect audit lag. Also in  this paper we investigated the factors (company size, sign of income,  opinion, auditor size, sector, gearing, auditor change) that may affect the  audit lag. In 2008 listed companies in the İstanbul Stock Exchange (ISE) are  required to prepare their financial statements compatible with IFRS  adopted by the European Union. Companies that listed in the ISE must  submit their separate financial statements within 10 weeks and  consolidated financial statements within 14 weeks of the financial yearend.  The sample comprises 248 companies listed in the ISE during the  period 2007 and 2008. The delays are measured as a function of the  number of days that elapse from the closure of the accounting period until  the date when the audit report is signed. In 2007, for solo financial  statement preparers 54% of them reported earlier than the expected 69th  day after a company’s financial year-end. About 46% of the ISE listed  companies reported late. In 2008, for solo financial statement preparers  35% of them reported earlier than the expected 67th day after a company’s  financial year-end. About 65% of the ISE listed companies reported late. In  2007, for consolidated financial statement preparers 56% of them reported earlier than the expected 97th day after a company’s financial  year-end. About 46% of the ISE listed companies reported late. In 2008, for  consolidated financial statement preparers 49% of them reported earlier  than the expected 95th day after a company’s financial year-end. About  51% of the ISE listed companies reported late. According to our preliminary  results there is an increase in audit delay after IFRS adoption both for solo  and consolidated financial statements.  Keywords: IFRS, Financial Reporting, Audit Lag, Turkey, Timely Reporting.</text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Impact of Social Media in the Selection of Tourist
Destinations: University Students for a Research
Ercan Tutan
Pamukkale University, Denizli, Turkey
tutanercan@gmail.com
Yasin Özaslan
Yalova University, Yalova, Turkey
ozaslanysn@gmail.com
Internet, affecting every sector in the world, the tourism sector and
interaction between the consumer and the tourism sector has changed.
Consumers, separating time and money to buy touristic goods and
services, want to live in the negative sense experience without any
surprises. For this purpose, the consumers collect about the
product/service information from various sources. These sources of
information in the past, the traditional media and social environment of
the acquired information with limited today, in online environments more
comprehensive information is presented. Today, these online
environments, most importantly, are the social media platforms. Social
media platforms offer the opportunity to reach a very large audience in a
short time, on these platforms, the positive / negative images, thoughts
about touristic product / service, affects different degrees of consumers in
terms of sharing of experiences. In addition, the increase in the use of
smart phone consumers, as well as the use of internet social media makes
it easier to transport.
The purpose of this study is to determine the effect of social media in
choice of tourist destination of university students. For this purpose, a
questionnaire was developed. The questionnaire in order to improve 50
university students about an hour-long interview made and the meantime,
whether they used social media for the selection of a touristic destination,
which benefit from social media properties, on the purposes for which
they use social media in the process, asked and the answers given in the
literature used in conjunction with any item with the support of a total of
30 were obtained. Afterwards, a questionnaire was designed with the
support of expert opinion. The questionnaire was prepared, first as a pilot
study within the scope of the 100 people applied. After the pilot study, the
necessary arrangements have been made and the final version of the

103

�International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

questionnaire, face-to-face interviews with 1748 university student was
applied throughout Turkey. The obtained data were analyzed with
statistical analysis program. According to the results of factor analysis for
the analysis of the validity of five different sizes were determined. These
are: "Information Sharing", " the Effect of the Members”, "Acquisition of
Knowledge", "the Effect of Well-known People" and "Accuracy of
Information" dimensions. As a result of the reliability test, the individual
dimensions, the number of times the lowest and the highest alpha, was
determined to be 79% to 69%. According to the results, social media is
seen to be effective in the selection of tourist destination. Participants
used social media for the purpose of obtaining information, "Acquisition of
Knowledge" as a result of having the highest average size has been
determined. In this study, as well as recommendations for future work are
presented.
Keywords: Destination, Decision-Making Process,
Information Resources, Destination Marketing, Internet

104

Social

Media,

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OZASLAN, Yasin</text>
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                <text>Internet, affecting every sector in the world, the tourism sector and  interaction between the consumer and the tourism sector has changed.  Consumers, separating time and money to buy touristic goods and  services, want to live in the negative sense experience without any  surprises. For this purpose, the consumers collect about the  product/service information from various sources. These sources of  information in the past, the traditional media and social environment of  the acquired information with limited today, in online environments more  comprehensive information is presented. Today, these online  environments, most importantly, are the social media platforms. Social  media platforms offer the opportunity to reach a very large audience in a  short time, on these platforms, the positive / negative images, thoughts  about touristic product / service, affects different degrees of consumers in  terms of sharing of experiences. In addition, the increase in the use of  smart phone consumers, as well as the use of internet social media makes  it easier to transport.  The purpose of this study is to determine the effect of social media in  choice of tourist destination of university students. For this purpose, a  questionnaire was developed. The questionnaire in order to improve 50  university students about an hour-long interview made and the meantime,  whether they used social media for the selection of a touristic destination,  which benefit from social media properties, on the purposes for which  they use social media in the process, asked and the answers given in the  literature used in conjunction with any item with the support of a total of  30 were obtained. Afterwards, a questionnaire was designed with the  support of expert opinion. The questionnaire was prepared, first as a pilot  study within the scope of the 100 people applied. After the pilot study, the  necessary arrangements have been made and the final version of the questionnaire, face-to-face interviews with 1748 university student was  applied throughout Turkey. The obtained data were analyzed with  statistical analysis program. According to the results of factor analysis for  the analysis of the validity of five different sizes were determined. These  are: "Information Sharing", " the Effect of the Members”, "Acquisition of  Knowledge", "the Effect of Well-known People" and "Accuracy of  Information" dimensions. As a result of the reliability test, the individual  dimensions, the number of times the lowest and the highest alpha, was  determined to be 79% to 69%. According to the results, social media is  seen to be effective in the selection of tourist destination. Participants  used social media for the purpose of obtaining information, "Acquisition of  Knowledge" as a result of having the highest average size has been  determined. In this study, as well as recommendations for future work are  presented.  Keywords: Destination, Decision-Making Process, Social Media,  Information Resources, Destination Marketing, Internet</text>
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                <text>ISSN 2303-4564     </text>
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                    <text>International Conference on Economic and Social Studies, 10-11 May, 2013, Sarajevo

The Role of Religion on Turkey’s International Trade
Halil Uçal
Adnan Menderes University, Aydın, Turkey
hucal@adu.edu.tr
In the last decade, with the help of political stability, Turkish economy has
grown rapidly. After the financial crisis in 2001 not only economy but also
international trade volume has started to improve. The trade policy which
had focused on Customs Union with European Community changed and
resulted to expansion to other regions. Especially Middle East and Asian
countries’ share increased in Turkey’s total trade. As it is known, there
has been a debate about Turkey's shift of axis on foreign policies and on
international trade. In recent years Turkey carries out more active policies
in Middle East region. According to some views, a conservative and
religiously oriented government is the cause of the changes in policies. The
aim of this paper is to find the role of the religious affinity on Turkey's
international trade. Turkey's foreign trade will be analyzed by using Gravity
Theory Method. Panel regression method will be used for econometric
modeling. The variables used in the model covers 2002-20011 yearly data
of Turkey's bilateral trade volumes with main trade partners. In the first
section, a comparative analysis of Turkish foreign trade will be made
between the last decades and before. In the second section, the new
aspects on foreign policies and the effects on foreign trade will be
discussed. In the third section, the econometric analysis will be presented.
Finally, the empirical results will be discussed. It is expected that the
religious similarity plays a positive role in enhancing foreign trade.
Keywords: Gravity Theory, Trade, Religion, Turkey.

142

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                <text>The Role of Religion on Turkey’s International Trade</text>
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                <text>In the last decade, with the help of political stability, Turkish economy has  grown rapidly. After the financial crisis in 2001 not only economy but also  international trade volume has started to improve. The trade policy which  had focused on Customs Union with European Community changed and  resulted to expansion to other regions. Especially Middle East and Asian  countries’ share increased in Turkey’s total trade. As it is known, there  has been a debate about Turkey's shift of axis on foreign policies and on  international trade. In recent years Turkey carries out more active policies  in Middle East region. According to some views, a conservative and  religiously oriented government is the cause of the changes in policies. The  aim of this paper is to find the role of the religious affinity on Turkey's  international trade. Turkey's foreign trade will be analyzed by using Gravity  Theory Method. Panel regression method will be used for econometric  modeling. The variables used in the model covers 2002-20011 yearly data  of Turkey's bilateral trade volumes with main trade partners. In the first  section, a comparative analysis of Turkish foreign trade will be made  between the last decades and before. In the second section, the new  aspects on foreign policies and the effects on foreign trade will be  discussed. In the third section, the econometric analysis will be presented.  Finally, the empirical results will be discussed. It is expected that the  religious similarity plays a positive role in enhancing foreign trade.  Keywords: Gravity Theory, Trade, Religion, Turkey.</text>
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