Forecasting the Direction of the ISE National-100 Index By Neural Networks Backpropagation Algorithm

Ali Ihsan Diler

Istanbul Stock Exchange Review, 2003, vol. 7, issue 25-26, 65-82

Abstract: The aim of this article is to start a discussion on application of neural network algorithms, which is widely used in world financial literature in the last decade, in the Turkish capital markets. In this article, the direction of the ISE National- 100 Index is tried to be forecasted for the next day. A backpropagation with momentum algorithm which is usually used in this sort of financial analysis is used. According to the application results, the direction of the ISE National-100 index forecast for the next day is found to be 60,81 %.

Date: 2003
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