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                    <text>Journal of Economic and Social Studies

Animal Spirits and Trading Volume in
International Financial Markets between
2002 and 2011
Abderrazak DHAOUI
University of Sousse – Tunisia,
Faculty of Economic Sciences and Management
Department of Econometrics and Management
abderrazak.dhaoui@fsegs.rnu.tn

ABSTRACT
The change in trading volume and returns and the dysfunction
of the economy and more specifically of financial markets has been
increasingly attracting attention of researchers, analysts, practitioners,
institutions as well as government organizations. This paper investigates
the factors that are able to explain how financial markets work. Testing
the rational expectation hypothesis and different components of animal
spirits including investors’ beliefs and their behavioral biases, results
show that economy is driven by animal spirits and not by rational
behavior. Considering the classification of the sample by periods of
stability and periods of excessive volatility, results incite to think that
financial markets work in terms of economic cycles.
JEL Codes: G02, G11, G12, G14, G17.

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KEYWORDS
Investors’ Beliefs, Animal Spirits,
Economy Dysfunction, Volatility,
Rational Expectation.
ARTICLE HISTORY
Submitted:10 March 2012
Resubmitted:19 Jully 2012
Resubmitted: 5 August 2012
Accepted:6 September 2012

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Introduction
Financial markets have witnessed an excessive change in trading volume and returns
which causes abnormal losses and tremendous financial recessions and scandals affecting the financial and economic world during about the last thirty years (July
1990 to March 1991, March to November 2001 and the recession that began in
December 2007 in the case of the U.S., the recession of the 1990s for the Japan, Indonesia after 1998, Argentina after 2001, European Union during 2000 and 2001,
East Asia during 1997,…). In the real economic world, these recessions and scandals
have not been known only in recent decades, they have been observed since more
than one hundred years. The best known are, however, as an indication and not
limitation, those of the crash of October 1929 and the oil crisis of 1973.
Although the importance of investigations they made, economists have failed to
understand how the economy really works (Posner, 2009). In this sense, different
explanations are theoretically considered to explain the excessive crises and scandals
affecting largely the financial and economic spheres, especially, spanning about the
last five decades. In financial markets, the authors analyze the efficiency of markets
and the rationality of investors and attribute the dysfunction of financial markets to
informational bias. However, in spite of the importance of its implications the rational expectation hypothesis, largely based on the efficient market hypothesis, fails to
explain the excessive change in trading and returns in the major financial markets in
developed and emerging countries (see, Lavoie, 2010). Numerous other authors attribute the excessive change in returns and trading volume in the major international markets to behavioral biases and investors’ belief such as overconfidence (Daniel, Hirshleifer and Subrahmanyam, 1998), optimism (Haruvy, Stahl and Wilson,
1999; Weinstein, 1989; Otten, 1989) or pessimism (De Bondt and Thaler, 1987;
Barberis Shleifer and Vishny, 1998). More recently, Akerlof and Shiller (2009) come
back to reconsider the Keynesian General Theory recommendation and introduce
what they call, such as used for the first time by Keynes (1936), the “animal spirits”
in order to explain how the economy really works.
However, in spite of the importance of prior investigations, the causes of financial
and economic crises and recessions remain disputable and the results remain nonconclusive. This leads to investigate the dysfunction of financial markets introducing variables other than that referred to the rational expectation considering, among
others, investors’ beliefs and behaviors. The aim of this paper is, consequently, to
examine the causes of crises and scandals in the financial and economic world and

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�Animal Spirits and Trading Volume in International Financial Markets between 2002 and 2011

to understand how the economy really works. In order to do, we investigate together
the hypothesis of rational expectation as well as the behavioral biases. These latter
are expressed in terms of animal spirits including optimism, pessimism, overconfidence and spontaneous reaction. This investigation gives answers to our main question, which is the following:

What are the factors influencing the way how financial and economic spheres
work?
Considering the trading volume and the stock market index as a financial proxy for
the economy work, results, using data for 12 International Capital Markets over
the period spanning August 2002 to mid-November 2011, remain non conclusive.
Classification of the analysis by periods of stability and periods of excessive volatility
indicates same impacts of explanatory variables on the trading volume for different
periods and for about all markets. However, in the global vision, economy is largely
driven by animal spirits. The rational expectation hypothesis loses of significance
and fails to explain how the economy works.
The remainder of this paper is organized as follows: section 2 presents a theoretical
overview of the factors which are likely able to explain how the economy works. Section 3 describes the methodology and the data framework of this study and specifies
the model to estimate. In section 4, we present and discuss the main results. Section
5 is spared to the conclusion.

Literature Review
Economists consider that economic and financial recessions and crises are mainly
caused by factors excluding changing in thought patterns. They attribute the dysfunction of economies and more specifically of financial markets to the failure of
investors to expect rationally the future incomes and the evolution of stock returns.
Beliefs and sentiments are largely excluded from theoretical and empirical models.
Behavioral finance, however, introduces the beliefs and sentiments such as optimism, pessimism, overconfidence… to explain the excessive volatility in prices and
trading volumes. Akerlof and Shiller (2009, p. 4) argue in the specific framework of

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behavior explanation that “the current crisis bears witness to the role of such changes in
thinking. It was caused precisely by our changing confidence, temptations, envy, resentment, and illusions”. These thinking components compose according to Akerlof and
Shiller what they call the “Animal Spirits”. In this specific framework, they consider
that Human psychology drives the economy and matters for global capitalism. This
behavior argument (i.e. animal spirits) has appeared since about more than seventy
years ago when Keyens (1936) has noted, in his Genaral Theory, that about most of
what we do in our life and especially in economic life are mainly due to behavioral
biases such as animal spirits and not as a simple result of rational reaction toward
acts and events. In this specific area, he argues that “most, probably, of our decisions to
do something positive, the full consequences of which will be drawn out over many days
to come, can only be taken as the results of animal spirits […] and not at the outcome
of a weighted average of quantitative benefits multiplied by quantitative probabilities”
(Keynes, 1932, p. 168). This point of view is supported more recently by Akerlof
and Shiller (2009, p. 168) who insist on an explicit manner on the importance of
the behavioral components of which the animal spirits in the economic life. They argue, “It is necessary to incorporate animal spirits into macroeconomic theory in order to
know how the economy really works. In this respect the macroeconomics of the past thirty
years has gone in the wrong direction. In their attempts to clean up macroeconomics and
make it more scientific, the standard macroeconomists have imposed research structure
and discipline by focusing on how the economy would behave if people had only economic
motives and if they were also fully rational.”. Here, the authors challenge in an explicit
manner the rational expectation hypothesis. We note, accordingly, that the authors
insist on the incorporation of psychological components to explain the evolution of
markets and economies. Thus, a non surprising sentence shown on the cover page
of their book is “How Human Psychology Drives the Economy and Why it Matters for
Global Capitalism”. This incites to new thinking in the framework of the evolution
of the financial economic world.
Considering both the definition given by Keynes (1936) and that of Akerlof and
Shiller (2009) to the concept of “animal spirits”, we can investigate the impact of several psychological factors on the evolution of the two components of financial markets
namely stock prices and trading volume. However, before these investigations, we try
to define the concept of “animal spirits” according to these authors. Keynes (1936,
p.161) defines the “animal spirits” as “a spontaneous urge to action rather than inaction”. From this definition, Keynes excludes all rational components from investors’
behavior. Akerlof and Shiller (2009) continue in the same line of idea and enlarge this

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�Animal Spirits and Trading Volume in International Financial Markets between 2002 and 2011

definition to insert other behavioral components such as Antisocial behavior or Social
limits of profits, Monetary illusion, Changes in economic equity, Fairness, Legends
instead facts and figures, Corruption, History, Exuberance and overconfidence (see
Akelrlof and Shiller (2009, p. 5-6) and Guldberg (2010) for more details). In this
framework, Keynes (1936) as well as Akerlof and Shiller (2009) challenge the rational
expectation hypothesis and incite to introduce human psychology as the crucial factor
driving investors’ decisions and, therefore, markets and economies.
Keynes challenges, especially, the rational expectation hypothesis since it is based on
a quantitative model neglecting human aspects. He considers, however, that Human aspects matter more than rational expectation in making decision. In this line,
he argues explicitly that about the majority of our decisions depends only on these
behavioral components.
Several empirical studies have confirmed the behavior based explanations of the
economy works in the major international markets in developed and emerging countries. In a recent work, Dhaoui, Farhani and Garfatta. (2012) attribute the changes
in trading volume in the Japanese market to the aggressive reaction of overconfident
investors. Dhaoui (2011) introduce several behavioral components to explain the
economy works in the case of five developed countries: Japan, U.S., Switzerland,
U.K. and France. He developed an empirical model in order to investigate the impact of rational expectation as well as investors’ beliefs such as Overconfidence,
Pessimism, Optimism and Sponateous reaction on trading volume. The results of
the study show that the rational expectation hypothesis fails to explain the evolution of the trading volume as one of the financial components of a stock market.
The impact of the behavioral factors varies, however, from one market to the other
depending on the specificity and the characteristics of the population. The changes
of the trading volume in the context of the Japanese is explained by the aggressive
reaction of more overconfident investors. Oppositely, the change of trading in the
French Market is due, especially, to the excessive pessimism in the investors’ beliefs.
The excessive change in trading in the U.S., the Swiss and the U.K. markets are due,
however, to more than one psychological factor. The reactions of optimistic, pessimistic or overconfident investors as well as that of those with spontaneous reaction
drive these markets and influence largely the evolution of trading.
The investors’ beliefs as components of animal spirits are also considered in several
other studies (Daniel, Hirshleifer and Subrahmanyam, 1998; Haruvy, Stahl and
Wilson, 1999; Weinstein, 1989; Otten, 1989; De Bondt and Thaler, 1987; Barberis

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Shleifer and Vishny, 1998; Ciccone, 2003; Piroscă, 2011). A point of view commonly shared by the major of authors is that investors’ beliefs impact significantly
the economy works and explain in a major part the economy dysfunction.
Taken together, these empirical and theoretical arguments give explanations to the
financial distress. The financial recessions can be interpreted as a consequence of an
interruption of normal functioning of markets. In these lines, Hakkio and Keeton
(2009, p. 6) argue theoretically that “financial stress can be thought of as an interruption
to the normal functioning of financial markets”. The interruption in markets functioning implies the reject of the hypotheses according to which financial markets react
following fundamental prediction. Anomalies and behavioral biases play therefore
a pivotal role in the decision-making process. The investors’ beliefs are, hence, the
most important factors driving the economy works. In this sense, Hakkio and Keeton
(2009, p. 6) consider that “one common sign of financial stress is increased uncertainty
among lenders and investors about the fundamental values of financial assets”. This uncertainty can be explained as a consequence of the non-rational reaction of investors. The
behavioral based reaction induces a distorted prevision of the price evolution given the
uncertainty in investors’ beliefs and sentiments. This influences significantly the evolution of the two components of financial markets namely returns and trading volumes.
Accordingly, the abnormal changes in trading volumes and the low returns largely observed in the major international markets can be explained among others by the reaction of non-rational investors. In this same vein, Dhaoui (2011) among others found
that the rational expectation hypothesis loses of significance in the major international
markets and that economies are driven by behavioral biases such Overconfidence and
Optimism for the specific case of the Japanese Stock Market, Pessimism and “Spontaneous urge to action rather than inaction” for the case of French Stock Exchange and
all factors comprising the “Animal Spirits” behavioral bias, including Overconfidence,
Spontaneous Reaction, Opromism and Pessimism, for the cases of the U.S. the U.K.
and the Swiss Stock Markets.

Data and Methodology
This section presents a description of the sample and the period of analysis. It illustrates also the measurement of each dependent and independent variable that is
used and specifies the model to estimate.

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Sample Period and Stock Markets Investigated
The sample covers the period spanning from 01 August 2002 to 17 November
2011. The analyses include different markets that have been affected by at least one
crisis during this period. We include here different stock markets in order to investigate the impact of investors’ behavior during the periods of stability and those of
excessive volatility on trading volume. The stock markets investigated are those of
U.S (Nasdaq), Japan (Nikkei225), U.K. (FTSE100), France (CAC40), Switzerland
(SSMI), Malaysia (MLSE), New Zealand (NZSE), Seoul (KS11), Shanghai (SCE
composite), Hong Kong (HIS), Bombay (BSE) and Australia (All ordinaries). Data
is available online on the yahoo Finance pages and on the website of each Stock
Market.

Proxy for Used Variables
The investors’ beliefs change following the evolution of gains and losses across the
unit of time. Ciccone (2003) uses annual earnings forecast to determine optimism.
Optimism is present when the mean annual earnings forecast exceeds the corresponding actual earnings. By extension, pessimism is present when the mean annual
earnings forecast is lower than the corresponding actual earnings. In our case, we
consider than optimism (respectively pessimism) is present when returns exceed (decrease under) a target level. Accordingly, investors act in optimistic way when they
realize gains that exceed a desired level. Let ( R   ( R ) ) the level starting from which
the investor can be considered optimistic, with R the average return and  ( R ) the
standard deviation of returns. In this sense, the investor is considered optimistic
when he realized returns higher than ( R   ( R ) ) at the time (t-1). the investors act
as optimistic when prior returns are higher than this level and in the normal way
if not. Accordingly, the indicator of optimistic sentiments of the investor takes the
value R( t 1) when R( t 1)  ( R   ( R ) ) and 0 otherwise. This measure was used in
Dhaoui (2011).

Oppositely, pessimistic belief occurs when losses decrease below the level ( R   ( R ) ) .
Considering the same structure, investors are pessimistic when R( t 1)  ( R   ( R ) ) and

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then the indicator of pessimism takes the value R( t 1) , and takes the value 0 if not. This
measure was used in Dhaoui (2011).
When returns are included in the interval ( R   ( R ) ) , ( R   ( R ) )  investors react
in a spontaneous manner. The spontaneous reaction variable takes, thus, the value
R(t 1) when R( t 1)  ( R   ( R ) ) , ( R   ( R ) )  and 0 otherwise.
Overconfidence occurs when an investor realizes gains in previous date. Overconfidence is more pronounced once investor realizes at the time “t” a gain higher than
that in time (t-1). Considering investor who will make a decision at the time “t”, he
reacts in overconfidence manner if his gains in (t-1) exceed his gains in time (t-2).
Oppositely when gains at time (t-1) decrease below their level in (t-2) the investor
loses of confidence. The variable overconfidence will be investigated considering the
impact of observed return at the time (t-1) (i.e. R( t 1) ) on the trading volume at
the time “t” (i.e. Vt ). This measure was used in Boynton, Oppenheimer and Reid
(2009), Ulussever, Guranyumusak and Kar (2011) and Dhaoui et al. (2012).
Rational expectation supposes that investors anticipate future evolution of returns
considering the realized return at the current time and adjust their anticipations
by the error of anticipation of the returns for the current time. Considering the
time interval  (t  1) , t  , the rational expectation for the time “t” follows this relation : RtExp  R( t 1)  E( t 1) , with RtExp represents the expected return at the time
“t”, and E( t 1) represents the error of expectation at the time (t-1) that is equal
to the difference between realized return and expected return at the time (t-1) :
E(t 1)  R(t 1)  R(Exp
t 1) .

The Model
To investigate the contribution of investors’ beliefs and behaviors to the explanation
of the evolution of trading volume across the time we develop the following model:
Vt    1 RatExpt   2OverConf t  3 Spont Re actt   4Optimismt  5 Pessimismt   t

(1)

With Vt represents the natural logarithm of trading volume and  t is an error term.
Results of estimation will take into account the periods of excessive volatility of
returns and that of stability. Excessive volatility gives an idea on the dysfunction of
financial markets or more specifically financial crises and recessions.

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�Animal Spirits and Trading Volume in International Financial Markets between 2002 and 2011

Results and Discussions
To investigate the causes of financial recessions we investigate the effect of the investors’ beliefs on the variability of trading volume in periods of stability and in
periods of high volatility of returns. The periods of high volatility are determined
approximately following dates of crashes and recessions indicated by international
financial and economic organizations (World Bank, IMF, WTO…) and the classification relies on the results of graphical analyses. Hereafter we present graphs of
the evolution of returns spanning the whole period from August 2002 to November
2011 by stock market.
Graph 1. 1st panel : Countries with one single period of Volatility
Figure 2: Japan (Nikkei225), 2328 obs.

-.1

-.1

-.05

-.05

rendement

rendement
0
.05

0

.1

.05

.15

Figure 1: Mlaysia (KLSE), 2287 obs.

01 Jan 02

01 Jan 04

01 Jan 06

01 Jan 08

01 Jan 10

01 Jan 02

01 Jan 12

01 Jan 04

01 Jan 06

01 Jan 10

01 Jan 12

Figure 4: Shanghai (SSE Composite Index),
1493 obs.

-.05

-.1

-.05

rendement
0

rendement
0

.05

.05

.1

Figure 3: New Zealand (NZSE50), 1757 obs.

01 Jan 08
date

date

01 Jul 04

01 Jan 06

01 Jul 07

01 Jan 09

01 Jul 10

01 Jan 12

01 Jul 05

01 Jan 07

date

01 Jul 08
date

01 Jan 10

01 Jul 11

-.1

-.05

rendement
0
.05

.1

.15

Figure 5: Bombay Stock Exchange (BSE), 2072 obs.

01 Jul 03

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�Abderrazak DHAOUI

Graph 2. 2nd panel : Countries with two periods of Volatility
Figure 7. Australian Securities Exchanges
(AORD All Ordinaries), 2214 obs.

-.2

-.1

-.1

-.05

rendement
0

rendement

0

.1

.05

.2

Figure 6. Hong Kong (HIS), 2281 obs.

01 Jan 02

01 Jan 04

01 Jan 06

01 Jan 08

01 Jan 10

01 Jul 03

01 Jan 12

01 Jul 05

01 Jul 07
date

date

01 Jul 09

01 Jul 11

-.1

-.05

rendement
0

.05

.1

Figure 8. France (CAC40), 2310 obs.

01 Jul 04

01 Jan 06

01 Jul 07

01 Jan 09

01 Jul 10

01 Jan 12

date

Graph 3. 3rd panel : Countries with three periods of Volatility
Figure 10. U.K. (FTSE 100), 2263 obs.

-.1

-.1

-.05

-.05

rendement
0

rendement
0

.05

.05

.1

.1

Figure 9. Switzerland (Swiss Market SSMI),
2255 obs.

01 Jul 02

01 Jul 02

01 Jul 05

01 Jul 08

01 Jul 05

01 Jul 08

01 Jul 11

date

01 Jul 11

date

Figure 12. Seoul Composite (KS11), 2318
obs.

-.1

-.1

-.05

-.05

rendement
0

rendement
0
.05

.05

.1

.1

Figure 11. U.S. (Nasdaq 100), 2318 obs.

01 Jan 02

01 Jan 02

01 Jan 04

01 Jan 06

01 Jan 08

01 Jan 10

01 Jan 12

01 Jan 04

01 Jan 06

01 Jan 08

01 Jan 10

01 Jan 12

date

date

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�Animal Spirits and Trading Volume in International Financial Markets between 2002 and 2011

Graphical analyses give an idea about the classification of the countries by periods
of stability and of the high volatility of their markets. Table 1 summarizes this classification by periods of stability and high volatility.

Table 1. Classification of stable vs volatile period by stock markets
August 2002
to March
2003

Markets

April
2003
to Jun
2007

July 2007 to
September
2009

October
2009 to
July 2011

After August
2011

1st Panel

Japan
Bombay Stock Exchange
New Zealand
Shanghai
Malaysia

Stability
Stability
Stability
Stability
Stability

Volatility
Volatility
Volatility
Volatility
Volatility

2nd Panel

Hong Kong
France
Australian Securities
Exchange

Stability
Stability

Volatility
Volatility

Stability
Stability

Volatility
Volatility

Stability

Volatility

Stability

Volatility

Volatility
Volatility
Volatility
Volatility

Stability
Stability
Stability
Stability

Volatility
Volatility
Volatility
Volatility

rd

3 Panel

Switzerland
U.K.
U.S.
Seoul Composite

Volatility
Volatility
Volatility
Volatility

Stability
Stability
Stability
Stability

Stability
Stability
Stability
Stability
Stability

According to table 1, we can classify the countries composing our sample in three
panels. The first contains the Japan, Bombay, Shanghai, New Zealand and Malaysia.
These countries have known a high volatility in their markets starting July 2007 to
September 2009.
The second panel includes three countries having two volatile periods namely Hong
Kong, France and Australia. The first volatile period starts in July 2007 and finishes
in September 2009. The second period of volatility starts in August 2011. And,
finally, the last panel contains four countries namely Switzerland, U.K., U.S. and
Seoul. These countries have known three periods of volatility. The first starts in
August 2002 and finishes in March 2003. The second period of volatility plains for
all the period between July 2007 and September 2009. The third period starts in
August 2011. For all panels, starting and final dates are determined approximately
using results in the graphics above.

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Considering these characteristics of international Markets we adopt the same classification and analyze the evolution of investors’ behavior across the periods of stability and those of high volatility. This allows to determine the factors influencing the
investors’ reaction.
Tables 2 to 6 present results for the first panel including markets with a single volatile period covering July 2007 to September 2009.

Table 2. Results for Malaysian Stock Exchange
Countries

Variables
Rational
expectation

Malaysia

Optimism
Pessimism
Spontaneous
Reaction
Overconfidence
Cons_
R-Square
Adj R-Square
N. obs.

01/08/2002
to 30/06/2007
(Stability)
-0,0018671
(-0,02)
3,952122 ***
(10,12)
-2,966418 ***
(-8,85)
1,772425 ***
(4,39)
5,415741 ***
(2,56)
18,21633 ***
(16,15)
0,1163
0,1133
1456

01/07/2007
to 30/09/2009
(High volatility)
0,029306
(0,22)
2,457814 ***
(5,21)
-2,085144 ***
(-4,20)
1,639592 **
(2,02)
5,529746 *
(1,86)
19,02779 ***
(10,34)
0,1356
0,1214
309

01/10/2009
to 17/011/2011
(Stability)
-0,000863
(-0,06)
2,027082 ***
(4,02)
-2,630279 ***
(-6,38)
6,02156 *
(1,73)
-0,900518
(-0,66)
18,4898 ***
(12,92)
0,1994
0,1918
532

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

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Table 3. Results for Japanese Stock Exchange
Countries

01/08/2002
to 30/06/2007
(Stability)

01/07/2007
to 30/09/2009
(High volatility)

01/10/2009
to 17/011/2011
(Stability)

-0,0146175
(-0,18)

-0,00048082
(-0,61)

0,0017469
(0,16)

Optimism

5,496744
(4,19)***

3,987197
(5,96)***

6,365698
(4,64)***

Pessimism

-6,383355
(-5,41)***

-3,651358
(-6,36)***

-4,947251
(-3,80)***

Spontaneous
Reaction

-3,443485 ***
(-2,75)

1,487952
(1,11)

0,5675622
(0,43)

Overconfidence

1,781031 ***
(-2,56)

-0,18953
(-0,49)

0,4319584
(0,59)

12,52128
(13,15)***

11,80451
(11,29)***

11,80701
(11,17)

0,2457
0,2427
1245

0,1119
0,1038
549

0,1602
0,1519
514

Variables

Japan

Rational
expectation

Cons_
R-Square
Adj R-Square
N. obs.

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

Table 4. Results for New Ealand Stock Exchange

New Zealand

Countries

01/08/2002
to 30/06/2007
(Stability)

01/07/2007
to 30/09/2009
(High volatility)

01/10/2009
to 17/011/2011
(Stability)

Rational
expectation

-0,0648184
(-0,706)

0,0371711
(0,74)

0,0073104
(0,22)

Optimism

9,17813 **
(2,02)

10,88856 ***
(4,35)

9,682107 ***
(4,69)

Pessimism

-12,42906 ***
(-2,68)

-3,853524 *
(-1,71)

-5,591399 ***
(-3,00)

Spontaneous
Reaction

0,3652308
(0,08)

1,419302
(0,29)

0,5953874
(0,22)

Overconfidence

-0,3954135
(-0,15)

-1,033097
(-0,72)

-1,184377
(-1,01)

17,06697
(10,31)

17,17036
(9,21)

17,15519 ***
(16,78)

0,2164
0,2103
652

0,3571
0,3514
566

0,1677
0,1653
1757

Variables

Cons_
R-Square
Adj R-Square
N. obs.

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

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Table 5. Results for Shanghai Stock Exchange
Countries

01/08/2002
to 30/06/2007
(Stability)

01/07/2007
to 30/09/2009
(High volatility)

01/10/2009
to 17/011/2011
(Stability)

0,1174147
(0,079)

0,0000294
(0,02)

0,0000666
(0,96)

Optimism

10,9254 ***
(5,19)

0,3974354 ***
(2,70)

0,0021573
(0,24)

Pessimism

-6,389313 ***
(-3,6)

-0,1794908
(-1,38)

-0,0021634
(-0,33)

Spontaneous
Reaction

7,528852 ***
(2,87)

0,5108541 **
(2,02)

0,0055034
(0,81)

-1,677286
(-0,83)

0,3199599 ***
(3,88)

0,0007502
(0,18)

21,8397 ***
(70,35)

22,1649
(89,75)

22,18064
(3,8)

0,4959
0,4898
416

0,4359
0,4307
549

0,3618
0,3556
523

Variables

Shanghai

Rational
expectation

Overconfidence
Cons_
R-Square
Adj R-Square
N. obs.

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

Table 6. Results for Bombay Stock Exchange

Bombay

Countries

01/08/2002
to 30/06/2007
(Stability)

01/07/2007
to 30/09/2009
(High volatility)

01/10/2009
to 17/011/2011
(Stability)

Rational
expectation

0,0001376
(0,01)

-0,0232592
(-0,51)

0,0063136
(0,32)

Optimism

5,975804
(2,60)***

2,754436
(1,96)**

10,53096
(5,59)***

Pessimism

-6,315796
(-2,78)***

-7,391564
(-5,12)***

-11,76311
(-6,89)***

Spontaneous
Reaction

1,315978
(0,73)

-1,754886
(-0,56)

-1,575617
(-0,91)

Overconfidence

-0,2895931
(-0,024)

0,221533
(0,26)

0,1298517
(0,14)

Cons_

9,65496 ***
(65,42)

10,12245 ***
(37,98)

9,843536 ***
(66,67)

0,2642
0,2573
538

0,4983
0,4937
550

0,7266
0,7252
983

Variables

R-Square
Adj R-Square
N. obs.

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

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Results in tables 2 to 6 indicate that the hypothesis of rational expectation loses of
significance to explain the variability of trading volume in both: periods of stability
and the period of high volatility in the five stock markets composing this sub-sample. Oppositely, the animal spirits behavior of investors explains about the whole
the variability of trading volume in the same way in periods of stability and in the
period of excessive volatile trading in the case of Malaysian, Bombay and Japanese
Markets. In fact, the reaction of the optimistic investors influences positively the
trading volume. Oppositely, the reaction of the pessimistic investors impacts negatively the trading volume.
Except the case of the Market of Shanghai, for all the other markets (Japan, Malaysia, Bombay and New Zealand) all the components of animal spirits variable impact
in about a similar way the trading volume even in periods of stability or in that of
high volatility. Thus, in the case of these stock markets we cannot attribute the high
variability of trading volume in the period of non-stability to the decisions made by
investors with the animal spirits reaction.
Tables 7 to 9 give results for countries having known two periods of high volatility.
The first takes place spanning from July 2007 to September 2009 and the second
starts in August 2011.
Table 7. Results for Hong Kong Stock Exchange

Hong Kong

Countries

01/08/2002
to 30/06/2007
(Stability)

01/07/2007
to 30/09/2009
(High volatility)

01/10/2009
to 31/07/2011
(Stability)

01/08/2011
to 17/011/2011
(High volatility)

Rational
expectation

0,0094716
(0,38)

-0,0086295
(-0,32)

-0,110444
(-1,27)

0,0569733
(0,48)

Optimism

9,727746
(2,76)***

8,921321
(11,49)***

9,428507
(3,79)***

7,884296
(2,62)***

Pessimism

-1,411207
(-3,96)***

-8,101631
(-10,51)***

-13,29175
(-6,22)***

-6,516842
(-2,52)***

Spontaneous
Reaction

7,963819
(3,07)***

4,095233
(2,07)**

0,6893569
(0,37)

-0,3024628
(-0,06)

Overconfidence

4,144081
(2,33)**

1,599998
(3,38)***

-0,4723748
(-0,40)

0,529921
(0,31)

Cons_

19,67071
(10,57)***

21,42976
(13,60)***

21,10563
(14,04)***

21,36374
(43,87)***

0,2956
0,2926
1192

0,2573
0,2505
555

0,1101
0,1000
447

0,1165
0,0613
86

Variables

R-Square
Adj R-Square
N. obs.

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

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Table 8. Results for Australian Stock Exchange

Australia

Countries

Variables

01/08/2002
to 30/06/2007
(Stability)

01/07/2007
to 30/09/2009
(High volatility)

01/10/2009
to 31/07/2011
(Stability)

01/08/2011
to 17/011/2011
(High volatility)

Rational
expectation

-0,0733917**
(-1,98)

-0,0141237
(-0,41)

-0,008164
(-0,53)

0,0058698
(0,18)

Optimism

12,60348***
(3,52)

3,956039*
(1,90)

7,341521***
(2,66)

3,530575
(1,05)

Pessimism

-12,88308***
(-4,03)

-1,486838
(-0,82)

-10,31233***
(-4,24)

-4,137054
(-1,30)

Spontaneous
Reaction

1,081162
(0,47)

4,417508
(1,04)

1,79318
(0,64)

1,420481**
(2,00)

Overconfidence

-1,995823
(-1,21)

-0,6302036
(-0,54)

-1,346957
(-0,92)

-1,872936
(-0,98)

20,17996***
(18,17)

20,6959***
(84,77)

20,89099
(13,52)

20,83000***
(50,92)

0,3181
0,315
1094

0,3295
0,3236
572

0,5447
0,2396
456

0,6179
0,5949
89

Cons_
R-Square
Adj R-Square
N. obs.

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

Table 9. Results for French Stock Exchange
Countries

01/08/2002
to 30/06/2007
(Stability)

01/07/2007
to 30/09/2009
(High volatility)

01/10/2009
to 31/07/2011
(Stability)

01/08/2011
to 17/011/2011
(High volatility)

0,0021435
(0,02)

0,0009854
(0,09)

-0,0084168
(-0,83)

-0,0144636
(-0,378)

Optimism

1,382417***
(3,78)

7,443982***
(7,27)

6,406972***
(2,75)

5,60802***
(2,49)

Pessimism

-2,007958***
(-6,00)

-8,564161***
(-8,79)

-13,11779
(-6,52)

-7,076897***
(-3,64)

Spontaneous
Reaction

-1,344369
(-0,66)

-0,6155619
(-0,31)

-1,952723
(-0,86)

-6,716509
(-1,32)

Overconfidence

-1,794604
(-1,14)

-0,7888018
(-1,26)

-2,153704*
(-1,83)

-3,137049***
(-2,56)

18,43785***
(13,92)

18,77479***
(12,72)

18,64237***
(10,73)

18,93855***
(44,66)

0,4708
0,467
698

0,1748
0,1675
574

0,1058
0,0961
468

0,2636
0,2132
79

Variables

France

Rational
expectation

Cons_
R-Square
Adj R-Square
N. obs.

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

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Results in tables 7 to 9 indicate for the three countries (France, Hong Kong and
Australia) that optimism and pessimism hypotheses as components of animal spirits
bias explain the economy works in both: periods of stability and periods of high
volatility. For the specific case of Hong Kong, results show also that the reactions of
overconfident investors and those with spontaneous reaction impact in their turn
the economy works. The hypothesis of rational expectation remain non-significant
for the three countries even the period is of stability or of high volatility.
Results for countries with three volatile periods are given in tables 10 to 13.

Table 10. Results for Swiss Stock Exchange
Countries Variables

Switzerland

Rational
expectation

01/08/2002
01/04/2003
01/07/2007
01/10/2009
01/08/2011
to 31/03/2003 to 30/06/2007 to 30/09/2009 to 31/07/2011 to 17/11/2011
(High volatility)
(Stability)
(High volatility)
(Stability) (High volatility)
-0,1111289
(-0,55)

-0,0126377
(-0,51)

0,0073701
(0,71)

0,0127327
(1,56)

-0,0034019
(-0,19)

Optimism

8,386031***
(2,44)

6,39788**
(2,25)

8,499868***
(6,87)

6,928711**
(2,09)

9,748404***
(2,91)

Pessimism

-1,886762
(-0,59)

-6,534211***
(-6,04)

Spontaneous
Reaction

4,607594
(0,61)

0,7302884
(0,34)

-3,699637
(-1,42)

-1,872912
(-0,72)

2,218586
(0,31)

Overconfidence

1,456902
(0,67)

-1,798946
-1,26

-1,260576*
(-1,67)

-3,097999*
(-1,90)

-4,712409***
(-2,48)

Cons_

17,69276
(35,37)

17,80328***
(14,19)

18,17439***
(11,68)

17,77902***
(11,37)

17,8621***
(38,28)

0,1164
0,0559
79

0,3831
0,3802
1071

0,1629
0,1554
564

0,1134
0,1037
463

0,2936
0,2446
78

R-Square
Adj R-Square
N. obs.

-9,597526*** -8,147291*** -11,218586***
(-8,05)
(-6,57)
(-3,76)

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

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Table 11. Results for UK Stock Exchange

UK

Countries Variables
Rational
expectation

01/08/2002
01/04/2003
01/07/2007
01/10/2009
01/08/2011
to 31/03/2003 to 30/06/2007 to 30/09/2009 to 31/07/2011 to 17/11/2011
(High volatility)
(Stability)
(High volatility)
(Stability) (High volatility)
0,0019037
(0,02)

0,0065213
(0,39)

-0,0014575
(-0,07)

0,0027181
(0,12)

-0,138409
(-0,14)

Optimism

2,977028
(0,59)

3,993008*
(1,69)

3,729751***
(3,15)

6,913669***
(2,62)

6,150827***
(2,34)

Pessimism

-4,354747
(-0,84)

-8,801088***
(-3,89)

-5,386519*** -4,992221***
(-4,85)
(-5,84)

-8,58405***
(-3,60)

Spontaneous
Reaction

-11,50274
(-1,09)

-1,253282
(-0,85)

-2,563612
(-1,06)

-2,953955
(-1,08)

4,72253
(0,88)

Overconfidence

-3,349596
(-1,02)

-1,881756*
(-1,73)

-1,403448**
(-1,96)

-4,08298***
(-2,76)

-3,493217***
(-2,42)

Cons_

21,07296
(30,97)
0,4505
0,4143
82

21,17952***
(25,71)
0,196
0,1922
1073

20,94948***
(13,09)
0,361
0,3553
570

20,59363***
(12,03)
0,1016
0,0917
460

20,57805**
(56,537)
0,2585
0,207
78

R-Square
Adj R-Square
N. obs.

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

Table 12. Results for US Stock Exchange

US

Countries Variables

01/08/2002
01/04/2003
01/07/2007
01/10/2009
01/08/2011
to 31/03/2003 to 30/06/2007 to 30/09/2009 to 31/07/2011 to 17/11/2011
(High volatility)
(Stability)
(High volatility)
(Stability) (High volatility)

Rational
expectation

-0,0013339
(-0,05)

0,0060562
(0,34)

0,0027018
(0,19)

-0,0149435
(-0,30)

0,023649
(0,91)

Optimism

4,77477***
(4,30)

2,655937**
(1,96)

2,548728***
(3,82)

1,6657
(0,67)

4,279347***
(2,29)

Pessimism

-1,711587
(-1,31)

-3,733872***
(-2,6)

9,967913***
(3,62)

-1,079388
(-0,90)

Overconfidence

0,4343431
(0,61)

-0,4189386
(-0,56)

Cons_

21,06314
(97,67)

21,28201***
(23,93)

21,46282***
(21,67)

21,44617***
(13,21)

21,38062***
(76,58)

0,1862
0,1561
141

0,2117
0,2078
1027

0, 4599
0,4554
611

0,3575
0,3504
461

0,3421
0,2965
78

Spontaneous
Reaction

R-Square
Adj R-Square
N. obs.

-2,644234*** -8,066696*** -7,355007***
(-4,23)
(-3,72)
(-4,85)
-0,2475651
(-0,18)

-5,27086**
(-2,25)

2,132501
(0,65)

-0,9743913*** -3,109979*** -2,874493***
(-2,42)
(-2,38)
(-2,93)

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

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Table 13. Results for Seoul Stock Exchange
Countries Variables

Seoul

Rational
expectation

01/08/2002
01/04/2003
01/07/2007
01/10/2009
01/08/2011
to 31/03/2003 to 30/06/2007 to 30/09/2009 to 31/07/2011 to 17/11/2011
(High volatility)
(Stability)
(High volatility)
(Stability) (High volatility)
-0,0500564
(-0,35)

0,006156
(0,50)

-0,0014951
(-0,12)

0,0019769
(0,34)

0,000056
(0,09)

Optimism

6,323745***
(2,55)

5,3764027***
(2,78)

4,455644***
(2,51)

0,2132635
(0,10)

0,1409836
(0,09)

Pessimism

3,448822
(1,54)

-2,934043
(-1,51)

-0,0555116
(-0,04)

-2,642974*
(-1,66)

-2,506756*
(-1,80)

Spontaneous
Reaction

-2,143304
(-0,52)

3,009507
(1,36)

2,603327
(0,82)

-0,3265051
(-0,24)

-0,9799284
(-0,31)

Overconfidence

3,455121***
(2,40)

2,152928*
(1,88)

2,143484**
(2,11)

0,348115
(0,38)

-0,6763232
(-0,76)

Cons_

13,54845***
(39,96)

12,80747***
(78,72)

12,90968***
(52,13)

12,75659***
(12,68)

12,82902***
(48,73)

0,3976
0,3787
165

0,2213
0,2176
1054

0,1874
0,1801
559

0,1636
0,1542
453

0,1653
0,1125
85

R-Square
Adj R-Square
N. obs.

***: Significant at the level 1%, **: Significant at the level 5%, *: Significant at the level 10%.

Results in tables 10 to 13 indicate even for countries having three periods of volatility that the hypothesis of rational expectations loses of significance and fails to
explain the evolution of trading volume. Sentiments and beliefs drive, however, the
economy. In fact, optimism affects significantly and positively the trading volumes
whereas pessimism presents significant and negative influences. The weight of impacts is similar even the period is of stability or characterized by a high volatility.
Taken together results for the whole sample including countries with one single volatile period, those with two periods and those with three volatile periods tend toward
the same conclusions. The rationality fails to explain how the economy really works;
sentiments, beliefs and animal spirits drive, however, the economy. These results are
consistent with the prediction of Keynes (1936) who argues that all decisions to do
something constitutes most probably a consequence of only animal spirits reaction
of the decision-makers and not a result of rational thinking based on statics and
models. The results confirm and spur the prediction of Akerlof and Shiller (2009)
who plead in favor of the fact that “Human Psychology Drives the Economy”.
Considering these results we cannot conclude moreover that Human Psychology constitutes the only factor which causes definitely the dysfunction of the economy. We

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can conclude, however, that sentiments, beliefs or animal spirits can be considered
among the main causes of crises once there is no institutional and governmental
control. Markets trade ordinary and the accumulation of biases caused by the reaction of non-rational investors induces across the time abnormal losses or abnormal
gains. Non-rational investors (those with animal spirits reaction) continue their
trading even when markets are not healthy and this behavior lunches the first signs
of dysfunction of the financial markets. When institutions and government organizations delay their intervention the impact on the trading can be exacerbated.

Conclusion
The causes of financial recessions and economy dysfunction has come to the forefront of attention of academics, analysts, practitioners, investors, government and
all who are interested in financial markets and this probably because of the problems
which have been revealed in the economic sphere.
Non-rational expectation, investor sentiments, behavioral biases, animal spirits are
all factors considered to explain the dysfunction of the economy once the hypothesis of rationality loses of power to explain the excessive volatility and the abnormal
gains and losses in the financial markets.
Using a sample of 12 international markets over a period of analysis spanning August
2002 to the mid-September 2011, results shown that economy works is explained
in terms of animal spirits and that the hypothesis of rational expectation loses of
significance and this for all the markets.
After classification of the analysis by periods of stability and volatility, results indicate that beliefs and animal spirits drive the economies whatever the period is of
stability or of high volatility.
Results cannot serve, however, to conclude what factor affects the variety of trading
across the periods of high volatility opposite to that during the periods of stability.
They allow, however, to understand only what factors can explain how the economy
works. Financial markets trade in non-rational way. Investors’ belief and their behavioral bias conduct their decision-making process and induce therefore a cumulative dysfunction on financial markets taking the form of repeated cycles.

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                    <text>Implications of Cognitive Developmental Theories for Teaching English as a Foreign
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Alma Žero
University of Sarajevo / Sarajevo, Bosnia and Herzegovina
Key words: EFL, cognitive theories, language acquisition, teaching
ABSTRACT
One of the most fascinating aspects of human development is language acquisition and it has attracted the attention
of linguists and psychologists for generations. Researchers all over the world discuss the particular developmental
sequences and describe what it is that learners actually learn throughout their language development.
In this paper, we attempt to focus on how this outstanding development takes place and what the implications are for
teaching English as a foreign language (EFL), especially to younger and adolescent learners. We explore the role
and importance of well-known language theories, including Piaget, Vygotsky, Bruner and Skinner; and we transfer
their ideas to the EFL classroom. Furthermore, we conducted a research comprised of questionnaires and
observations of classes in NGO Creativus and elementary school Izet Šabić in Sarajevo, Bosnia and Herzegovina, so
as to gain insight in particular theoretical uses when working with the mentioned ELL groups. The results show that
the most appealing theory for teachers of younger language learners are Bruner’s scaffolding and Skinner’s
behaviorism, as well as that teachers do try to incorporate theories in their everyday practice and that every one of
the theories offers plenty of possibilities and suggestions for teaching EFL.
Classroom activities and teacher decisions can create, or limit, the learners’ opportunities for learning EFL. For that
reason, we aim and hope to help teachers make their teaching more effective by attending to the mental world of the
learner and by understanding how theory works in EFL practice.

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                <text>Key words: EFL, cognitive theories, language acquisition, teaching  ABSTRACT  One of the most fascinating aspects of human development is language acquisition and it has attracted the attention of linguists and psychologists for generations. Researchers all over the world discuss the particular developmental sequences and describe what it is that learners actually learn throughout their language development.  In this paper, we attempt to focus on how this outstanding development takes place and what the implications are for teaching English as a foreign language (EFL), especially to younger and adolescent learners. We explore the role and importance of well-known language theories, including Piaget, Vygotsky, Bruner and Skinner; and we transfer their ideas to the EFL classroom. Furthermore, we conducted a research comprised of questionnaires and observations of classes in NGO Creativus and elementary school Izet Šabić in Sarajevo, Bosnia and Herzegovina, so as to gain insight in particular theoretical uses when working with the mentioned ELL groups. The results show that the most appealing theory for teachers of younger language learners are Bruner’s scaffolding and Skinner’s behaviorism, as well as that teachers do try to incorporate theories in their everyday practice and that every one of the theories offers plenty of possibilities and suggestions for teaching EFL.  Classroom activities and teacher decisions can create, or limit, the learners’ opportunities for learning EFL. For that reason, we aim and hope to help teachers make their teaching more effective by attending to the mental world of the learner and by understanding how theory works in EFL practice.</text>
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                    <text>Cultural Perception as a Part of Cultural Competence
Alma Čović-Filipović
Universitiy of Sarajevo / Sarajevo, Bosnia and Herzegovina
Key words: topoi, argumentation, discourse analysis, Austrio-Hungarian monarchy, Bosnia and Herzegovina
ABSTRACT
Intercultural competence has become very prominent after the occurrence of the EU and globalization in general.
However, one should not forget that intercultural competence is formed not only by contacts that are modern, but
also by those that occurred much earlier among cultures, so that its roots must be also investigated from the
historical perspective. This paper wants to show the acquisition of intercultural competence at its very onset, ie,
from a historical perspective. Views that are created during the cultural contact have shaped the attitudes and
determined perceptions which are an important part of intercultural competence. Cultures involved in the
investigation are the Austro-Hungarian monarchy and Bosnia and Herzegovina. In order to investigate this contact,
the paper analyzes articles in daily press at the time of the Austro-Hungarian rule in Bosnia and Herzegovina. The
method used in this paper is based on the analyse of the argumentative forms or patterns, ie topoi by which
expressions that implicitly or explicitly refer to the contact of these two cultures can be extracted from the text.

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                <text>Key words: topoi, argumentation, discourse analysis, Austrio-Hungarian monarchy, Bosnia and Herzegovina  ABSTRACT  Intercultural competence has become very prominent after the occurrence of the EU and globalization in general. However, one should not forget that intercultural competence is formed not only by contacts that are modern, but also by those that occurred much earlier among cultures, so that its roots must be also investigated from the historical perspective. This paper wants to show the acquisition of intercultural competence at its very onset, ie, from a historical perspective. Views that are created during the cultural contact have shaped the attitudes and determined perceptions which are an important part of intercultural competence. Cultures involved in the investigation are the Austro-Hungarian monarchy and Bosnia and Herzegovina. In order to investigate this contact, the paper analyzes articles in daily press at the time of the Austro-Hungarian rule in Bosnia and Herzegovina. The method used in this paper is based on the analyse of the argumentative forms or patterns, ie topoi by which expressions that implicitly or explicitly refer to the contact of these two cultures can be extracted from the text.</text>
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                    <text>Formative Feedback Tools to Enhance Learning and Teaching
Aylin Yurdacan
Istanbul Sehir University/ Istanbul, Turkey
Key words: formative feedback, self-directed learning
ABSTRACT
The paper will mainly focus on what formative feedback involves, how learners and teachers can benefit from it and
what possible formative feedback tools can be employed. Formative feedback provides hands-on experience for
learners to reflect on how their learning process is going on and thus creating an opportunity for teachers to realize
how effective their teaching is. Teachers taking action according to the feedback they receive from their students not
only creates a positive learning atmosphere but also boosts learners' confidence as they feel they have a say in the
learning and teaching process. After a brief introduction to formative feedback, some fundamental principles will be
presented. Then the motive, means and timing of formative feedback will be presented. And finally some formative
feedback tools will be shared with the audience.

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                <text>Key words: formative feedback, self-directed learning  ABSTRACT  The paper will mainly focus on what formative feedback involves, how learners and teachers can benefit from it and what possible formative feedback tools can be employed. Formative feedback provides hands-on experience for learners to reflect on how their learning process is going on and thus creating an opportunity for teachers to realize how effective their teaching is. Teachers taking action according to the feedback they receive from their students not only creates a positive learning atmosphere but also boosts learners' confidence as they feel they have a say in the learning and teaching process. After a brief introduction to formative feedback, some fundamental principles will be presented. Then the motive, means and timing of formative feedback will be presented. And finally some formative feedback tools will be shared with the audience.</text>
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                    <text>TÜRKÇE İLE İLİŞKİSİ
Muammer YÜCAL
Ardahan Üniversitesi, Türk Dili ve Edebiyatı Ana Bilim Dalı, Ardahan / Türkiye
Anahtar Kelimeler: Saha (Yakut) Türkçesi, kök, ses değişikleri.
ÖZET
Saha (Yakut) Türkçesi, Kuzey Sibirya Türk Lehçeleri içerisinde değerlendirilmektedir.
Bu lehçe ana Türkçeden erken bir tarihte ayrıldığı ve coğrafya olarak da uzakta kaldığı için,
genel Türkçeden çok uzaklaşmıştır. Bu nedenle birçok bilim insanı Saha (Yakut) Türkçesi’ni
ayrı ve bağımsız bir dil olarak ele almaktadır. Saha (Yakut) Türkçesi, lehçe olarak “z”li ve “ş”li
(Zetasizm) sesleri kullanmaktadır. Kullanılan bu sesler sözcüklerin kök ve ek yapılarını
etkilemiştir. Bunun sonucu olarak, sözcüklerin köklerindeki seslerin özelliklerine göre (Sedalı,
Sedasız); ekler değişik biçimde görülür. Bir sözcüğün kökündeki son sesin özelliğine bağlı
olarak ekler; 8, 16 bazen de 20 değişik biçimde bu köke eklenir. Bu çalışmada sözcüklerin
köklerindeki son sesin özelliği dikkate alınarak, eklerin ses değişmeleri ele alınmıştır. Böylelikle
Eski Türkçenin sözcük köklerindeki seslerinin özellikleri de düşünülerek; bu seslerin nasıl
korunduğu ve kökteki son sese göre sözcüğün aldığı ekin nasıl bir değişime uğradığı tespit
edilmeye çalışılmıştır.

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                <text>Anahtar Kelimeler: Saha (Yakut) Türkçesi, kök, ses değişikleri.  ÖZET  Saha (Yakut) Türkçesi, Kuzey Sibirya Türk Lehçeleri içerisinde değerlendirilmektedir. Bu lehçe ana Türkçeden erken bir tarihte ayrıldığı ve coğrafya olarak da uzakta kaldığı için, genel Türkçeden çok uzaklaşmıştır. Bu nedenle birçok bilim insanı Saha (Yakut) Türkçesi’ni ayrı ve bağımsız bir dil olarak ele almaktadır. Saha (Yakut) Türkçesi, lehçe olarak “z”li ve “ş”li (Zetasizm) sesleri kullanmaktadır. Kullanılan bu sesler sözcüklerin kök ve ek yapılarını etkilemiştir. Bunun sonucu olarak, sözcüklerin köklerindeki seslerin özelliklerine göre (Sedalı, Sedasız); ekler değişik biçimde görülür. Bir sözcüğün kökündeki son sesin özelliğine bağlı olarak ekler; 8, 16 bazen de 20 değişik biçimde bu köke eklenir. Bu çalışmada sözcüklerin köklerindeki son sesin özelliği dikkate alınarak, eklerin ses değişmeleri ele alınmıştır. Böylelikle Eski Türkçenin sözcük köklerindeki seslerinin özellikleri de düşünülerek; bu seslerin nasıl korunduğu ve kökteki son sese göre sözcüğün aldığı ekin nasıl bir değişime uğradığı tespit edilmeye çalışılmıştır.</text>
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                    <text>Views of Teachers on the Courses of Turkish as a First Language in Western Germany
Cemal Yildiz
Marmara University/ Istanbul, Turkey
Key Words: Turkish as a First Language in Germany, Mother Tongue, Foreign Language, Teaching of Turkish.
ABSTRACT
The aim of this research is to investigate the views of the teachers of Turkish immigrant students in Germany
towards the course of Turkish Language. The research has been carried out in accordance with the relational
screening model during the summer of 2011. The population of the research was composed of teachers of immigrant
students of Turkish origin between the ages of 11 and 18, who receive education at the 5th to 12th grades in various
states of Germany (Baden-Württemberg, Lower Saxony, Bremen, Hamburg and Berlin). The sample included 92
teachers. In the study, two questionnaires prepared by the researcher were used in order to identify certain
demographic features of the teachers concerned, as well as their views towards the course of Turkish Language.
The first dimension of the questionnaire consisting of two dimensions includes items investigating personal
background regarding the independent variables of the research. Apart from items investigating information related
to teachers, in the questionnaires there is another dimension with open-ended items under 3 sub-dimensions entitled
as Aims of Teaching Turkish to Students, Teaching and Using Turkish Activities, and Problems Encountered in
Turkish Teaching and Suggestions.
The analysis of the data was conducted through SPSS for Windows 15.0 package software. The statements found
interesting were selected and interpreted by categorizing the responses to the questionnaire under the titles
mentioned above.

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                <text>Key Words: Turkish as a First Language in Germany, Mother Tongue, Foreign Language, Teaching of Turkish.  ABSTRACT  The aim of this research is to investigate the views of the teachers of Turkish immigrant students in Germany towards the course of Turkish Language. The research has been carried out in accordance with the relational screening model during the summer of 2011. The population of the research was composed of teachers of immigrant students of Turkish origin between the ages of 11 and 18, who receive education at the 5th to 12th grades in various states of Germany (Baden-Württemberg, Lower Saxony, Bremen, Hamburg and Berlin). The sample included 92 teachers. In the study, two questionnaires prepared by the researcher were used in order to identify certain demographic features of the teachers concerned, as well as their views towards the course of Turkish Language.  The first dimension of the questionnaire consisting of two dimensions includes items investigating personal background regarding the independent variables of the research. Apart from items investigating information related to teachers, in the questionnaires there is another dimension with open-ended items under 3 sub-dimensions entitled as Aims of Teaching Turkish to Students, Teaching and Using Turkish Activities, and Problems Encountered in Turkish Teaching and Suggestions.  The analysis of the data was conducted through SPSS for Windows 15.0 package software. The statements found interesting were selected and interpreted by categorizing the responses to the questionnaire under the titles mentioned above.</text>
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                    <text>Wording and Discourse of Conservative Female Columnists
Kübra Güran Yiğitbaşı
Marmara University/ Istanbul, Turkey
Key words: Discourse analysis,Female Columnists, rhetorical statements,columnists of styles,Turkish press.
ABSTRACT
Along with the improvements in new media and communication technologies, the press that finds a place for itself
in the definition of traditional media maintains its importance with detailed news analysis and exclusive news.
Like other forms of media, the printed media also tries to reach its target audience in various ways. It can do this by
bringing up news and also through columnists who establish a close and intimate relationship between the paper and
its readers, reflecting the newspaper’s identity.
In general, columnists in the Turkish press are the people who comment on and assess recent developments based on
their own philosophy of life and their basic references.
Through AKP (The Justice and Development Party) that has been in power since 2002, female columnists with
conservative and islamic lifestyles have become more visible in the Turkish press, particularly with their different
wording and discourses.
While the majority of these authors have been writing in conservative newspapers, such as Yeni Şafak and Star,
others have chosen secular newspapers, such as Taraf or Haberturk.
Sibel Eraslan, Elif Çakır, and Halime Kökçe from Star and Fatma Barbarosoğlu, Hilal Kaplan and Özlem Albayrak
from Yeni Şafak can be shown as examples of the first group of writers. On the other hand, Nihal Bengisu Karaca
from Habertürk and Hidayet Tuksal from Taraf are the authors of the latter group.
In this study, a month-long articles of these authors will be examined in the axis of the "woman" issue. The ways the
authors approach the “woman” issue as well as the common and different aspects of their styles and their rhetorical
statements will be tried to be revealed. Through a discourse analysis, the statements they make in their writing
pieces and the subtle messages and meanings behind their texts will be exposed.

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                <text>YIGITBASI, Kübra Güran </text>
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                <text>Key words: Discourse analysis,Female Columnists, rhetorical statements,columnists of styles,Turkish press.  ABSTRACT  Along with the improvements in new media and communication technologies, the press that finds a place for itself in the definition of traditional media maintains its importance with detailed news analysis and exclusive news.  Like other forms of media, the printed media also tries to reach its target audience in various ways. It can do this by bringing up news and also through columnists who establish a close and intimate relationship between the paper and its readers, reflecting the newspaper’s identity.  In general, columnists in the Turkish press are the people who comment on and assess recent developments based on their own philosophy of life and their basic references.  Through AKP (The Justice and Development Party) that has been in power since 2002, female columnists with conservative and islamic lifestyles have become more visible in the Turkish press, particularly with their different wording and discourses.  While the majority of these authors have been writing in conservative newspapers, such as Yeni Şafak and Star, others have chosen secular newspapers, such as Taraf or Haberturk.  Sibel Eraslan, Elif Çakır, and Halime Kökçe from Star and Fatma Barbarosoğlu, Hilal Kaplan and Özlem Albayrak from Yeni Şafak can be shown as examples of the first group of writers. On the other hand, Nihal Bengisu Karaca from Habertürk and Hidayet Tuksal from Taraf are the authors of the latter group.  In this study, a month-long articles of these authors will be examined in the axis of the "woman" issue. The ways the authors approach the “woman” issue as well as the common and different aspects of their styles and their rhetorical statements will be tried to be revealed. Through a discourse analysis, the statements they make in their writing pieces and the subtle messages and meanings behind their texts will be exposed.</text>
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                    <text>Harold Pinter and Orhan Pamuk: Two Radical Voices of our Century
İbrahim Yerebakan
Recep Tayyip Erdogan University/ Rize, Turkey
Key words: Harold Pinter, Orhan Pamuk, politics, human rights, Turkey, western societies
ABSTRACT
Introduction: It is interesting to note that Pinter’s association with Orhan Pamuk , Turkey’s only Nobel laureate,
goes back to the mid 1980s when he went to Turkey with Arthur Miller in order to investigate the mistreatment and
imprisonment of the Turkish writers, intellectuals, trade union and political leaders and allegations of human rights
abuses during the military regime on behalf of International PEN. During that fact-finding mission, they were
introduced to and guided around Istanbul by that young and unknown novelist called Orhan Pamuk. It is also by
sheer coincidence that Harold Pinter received his Nobel Prize for literature in 2005 just the year before Orhan
Pamuk won the same award in 2006. In case of these outspoken cultural figures, it was always the search for human
dignity and human respect and freedom of the individual that brought them into relentless conflict with the
authority. Both of them are friends of the oppressed and enemies of the totalitarian regimes, East and West. Both
spoke out on behalf of the oppressed and vigorously criticised the policies of their respective political
administrations.
Objectives: This analysis is intended to demonstrate some certain parallels in the political stance and political
activism of the above-mentioned writers and to find out important points of contact in their political discourses that
give us most of the same concern. It is also part of the contention of this analysis to consider how these
internationally acclaimed writers are seen from their respective countries , who we assume, are more honoured
everywhere in the world than in their own societies.

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                <text>Key words: Harold Pinter, Orhan Pamuk, politics, human rights, Turkey, western societies  ABSTRACT  Introduction: It is interesting to note that Pinter’s association with Orhan Pamuk , Turkey’s only Nobel laureate, goes back to the mid 1980s when he went to Turkey with Arthur Miller in order to investigate the mistreatment and imprisonment of the Turkish writers, intellectuals, trade union and political leaders and allegations of human rights abuses during the military regime on behalf of International PEN. During that fact-finding mission, they were introduced to and guided around Istanbul by that young and unknown novelist called Orhan Pamuk. It is also by sheer coincidence that Harold Pinter received his Nobel Prize for literature in 2005 just the year before Orhan Pamuk won the same award in 2006. In case of these outspoken cultural figures, it was always the search for human dignity and human respect and freedom of the individual that brought them into relentless conflict with the authority. Both of them are friends of the oppressed and enemies of the totalitarian regimes, East and West. Both spoke out on behalf of the oppressed and vigorously criticised the policies of their respective political administrations.  Objectives: This analysis is intended to demonstrate some certain parallels in the political stance and political activism of the above-mentioned writers and to find out important points of contact in their political discourses that give us most of the same concern. It is also part of the contention of this analysis to consider how these internationally acclaimed writers are seen from their respective countries , who we assume, are more honoured everywhere in the world than in their own societies.</text>
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                    <text>An Examination Of The Typological Features Of Turkish
Oktay Yağız &amp; Muhsine Börekçi
Atatürk University/ Erzurum, Turkey
Key words: Language, Turkish, Language typology,linguistics, applied linguistics
ABSTRACT
In this study, Turkish is examined in terms of language typologies and the language opportunities to the user of
Turkish. Moreover, the easy and difficult characteristics of Turkish are aimed to explore. While attempting to
investigate, description and comparison methods were used and the typological features of Turkish were examined
in terms of the theory of language richness and perfection. That a language is a magical and perfect system is widely
acknowledged by thinkers and linguists. Another agreement among the linguists is that languages resemble each
other through certain features, therefore some gene! ralizations can be established. Given the typical instances of
agglutinative languages, Turkish is suggested as a developing language of science, education and art, according to
“Language Perfection Criteria” and the arguments are thought to provide useful insights to Turkish learners,
material designers, language researchers and practitioners.

�</text>
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                <text>An Examination Of The Typological Features Of Turkish</text>
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                <text>YAGIZ, Oktay 
BOREKCI, Muhsine </text>
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                <text>Key words: Language, Turkish, Language typology,linguistics, applied linguistics  ABSTRACT  In this study, Turkish is examined in terms of language typologies and the language opportunities to the user of Turkish. Moreover, the easy and difficult characteristics of Turkish are aimed to explore. While attempting to investigate, description and comparison methods were used and the typological features of Turkish were examined in terms of the theory of language richness and perfection. That a language is a magical and perfect system is widely acknowledged by thinkers and linguists. Another agreement among the linguists is that languages resemble each other through certain features, therefore some gene! ralizations can be established. Given the typical instances of agglutinative languages, Turkish is suggested as a developing language of science, education and art, according to “Language Perfection Criteria” and the arguments are thought to provide useful insights to Turkish learners, material designers, language researchers and practitioners.</text>
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                    <text>Exploring Task-Based Pbl in an Elective Chinese Language Beginner Course in a Danish
Context
Youjin Ruan, Xiangyun DU
ABSTRACT
Chinese as an Asian language is still very new to most institutions in Denmark, it is facing both opportunities and
challenges in a Danish context.
Department of Culture and Global Studies at Aalborg University (AAU) has been offering different elective
language courses, such as English, French, German and Spanish, and started to include Chinese language course
which is taught by the Chinese teachers from Confucius Institute for Innovation and Learning at Aalborg
University’s (CI) from 2011. In autumn semester 2012, the number of students in Chinese classes broke record, 174
students chose to study Chinese, which made Chinese the biggest language program at the university. And the
students are from different studies, such as health, engineering, computer science, humanities and others. However,
most of foreign language courses in Department of Culture and Global Studies are still facing a high rate of drop-out
problem.
We agree with Gardner R. C. that students’ motivation plays an important role in the teaching and learning process.
What may affect Danish student’s motivation in the foreign language learning? How to meet Danish student’s
expectation in a foreign language course? How to motivate them to learn a new foreign language, such as Chinese,
by using alternative teaching methods? How to motivate them by integrating language and cultural elements in the
language teaching and learning? How to maintain the quality of foreign language teaching and learning with a big
amount of participants? To develop and sustain the Chinese language and culture teaching in AAU, the researchers
and teachers from CI have been developing a student-centred teaching and learning method Task-based PBL
(Xiangyun DU &amp; Mads Jakob Kirkebæk, 2012) in this course, by means of a qualitative research approach weare
investigatingthis course and try to find the answers to the questions mentioned above.

�</text>
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                <text>1818</text>
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                <text>Exploring Task-Based Pbl in an Elective Chinese Language Beginner Course in a Danish Context</text>
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                <text>XIANGYUN DU, Youjin Ruan</text>
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                <text>Chinese as an Asian language is still very new to most institutions in Denmark, it is facing both opportunities and challenges in a Danish context.  Department of Culture and Global Studies at Aalborg University (AAU) has been offering different elective language courses, such as English, French, German and Spanish, and started to include Chinese language course which is taught by the Chinese teachers from Confucius Institute for Innovation and Learning at Aalborg University’s (CI) from 2011. In autumn semester 2012, the number of students in Chinese classes broke record, 174 students chose to study Chinese, which made Chinese the biggest language program at the university. And the students are from different studies, such as health, engineering, computer science, humanities and others. However, most of foreign language courses in Department of Culture and Global Studies are still facing a high rate of drop-out problem.  We agree with Gardner R. C. that students’ motivation plays an important role in the teaching and learning process. What may affect Danish student’s motivation in the foreign language learning? How to meet Danish student’s expectation in a foreign language course? How to motivate them to learn a new foreign language, such as Chinese, by using alternative teaching methods? How to motivate them by integrating language and cultural elements in the language teaching and learning? How to maintain the quality of foreign language teaching and learning with a big amount of participants? To develop and sustain the Chinese language and culture teaching in AAU, the researchers and teachers from CI have been developing a student-centred teaching and learning method Task-based PBL (Xiangyun DU &amp; Mads Jakob Kirkebæk, 2012) in this course, by means of a qualitative research approach weare investigatingthis course and try to find the answers to the questions mentioned above.</text>
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                <text>IBU Publishing</text>
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                <text>2013-05-03</text>
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PeerReviewed</text>
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