SUBASI, Abdülhamit and iLGÜN, Erkan (2009) Economic Variable Forecasting Using Artificial Neural Network: A Case Study in Turkey. In: 1st International Symposium on Sustainable Development, June 9-10, 2009, Sarajevo, Bosnia and Herzegovina.
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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.
|Item Type:||Conference or Workshop Item (Paper)|
|Uncontrolled Keywords:||ANN, Turkey, Economic time series forecasting|
|Subjects:||H Social Sciences > HB Economic Theory|
|Depositing User:||Users 4 not found.|
|Date Deposited:||03 Feb 2012 08:24|
|Last Modified:||02 Mar 2012 10:27|
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