Title :
Testing the predictability of the Cyprus Stock Exchange: the case of an emerging market
Author :
Andreou, Andreas S. ; Neocleous, Constantinos C. ; Schizas, Christos N. ; Toumpouris, Costas
Author_Institution :
Dept. of Comput. Sci., Cyprus Univ., Nicosia, Cyprus
Abstract :
A systematic investigation of the effect of different neural network architecture alternatives for predicting the future course of stock prices in the Cyprus Stock Exchange (CSE) market is conducted. This market exhibited an abrupt increase in the general index price during the last year, thus forming a very interesting case for research purposes. The influence of various economic and political factors, from both the local and the international scene, have also been examined. The main conclusion drawn is that the CSE market is governed by unique conditions which when properly modeled can yield successful predictions
Keywords :
backpropagation; feedforward neural nets; forecasting theory; neural net architecture; stock markets; Cyprus Stock Exchange; economic factors; emerging market; general index price; political factors; predictability; stock prices; Chaos; Computer aided software engineering; Computer architecture; Computer science; Economic forecasting; Layout; Neural networks; Predictive models; Stock markets; Testing;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.859422
