Economic Variable Forecasting Using Artificial Neural Network: A Case Study in Turkey

Economic Variable Forecasting Using Artificial Neural Network: A Case Study in Turkey

SUBASI, Abdülhamit
iLGÜN, Erkan

Since financial and economic time series are nonlinear, neural networks can be efficiently used in the financial and economic time series forecasting. In this paper we used machine learning technique for data mining to evaluate the predictive relationships of economic variables of Turkey. Neural network models are examined for their capability to provide an efficient forecast of future values. For illustration and confirmation purposes, the proposed model is conducted on typical economic time series. Empirical results obtained show that the proposed neural-network-based nonlinear modeling technique is a very promising approach to economic time series forecasting.

Conference or Workshop Item
PeerReviewed

2009-06

203