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https://hdl.handle.net/20.500.14279/13840
Τίτλος: | Testing the predictability of the Cyprus Stock Exchange: The case of an emerging market | Συγγραφείς: | Neocleous, Constantinos C. Andreou, Andreas S. Toumpouris, Costas Schizas, Christos N. |
Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Λέξεις-κλειδιά: | Finance;Industrial economics;Marketing;Mathematical models;Risk management | Ημερομηνία Έκδοσης: | 1-Ιαν-2000 | Πηγή: | International Joint Conference on Neural Networks (IJCNN'2000); Como, Italy; ; 24 July 2000 through 27 July 2000 | Volume: | 6 | Conference: | International Joint Conference on Neural Networks | Περίληψη: | 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. | Description: | Proceedings of the International Joint Conference on Neural Networks, Volume 6 | Type: | Conference Papers | Affiliation: | University of Cyprus | Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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