Abstract
This chapter discusses the application of neural networks to stock market and exchange rate prediction. The first section illustrates the use of the multilayer perception network for stock market prediction. The remainder of the chapter describes experiments with the multilayer perception network, the GMDH network, and the Elman network in exchange rate prediction.
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References
Brown, RG. (1963) Smoothing, Forecasting and Prediction of Discrete Time Series, New Jersey: Prentice Hall.
Hanke, JE. and Reitsch, AG. (1989), Business Forecasting, London: Allyn and Bacon.
Exchange Rate Movement Year Book 1980-1983, Henley Centre for Forecasting, London.
Kamijo, K and Tanigawa, T. (1990) Stock price pattern recognition - A recurrent neural network approach, 1990Int. J. Conf. on Neural Networks, San Diego, 1, 215–221.
Kimoto, T. and Asakawa, K (1990) Stock market prediction system with modular neural networks, 1990 Int. J. Conf. on Neural Networks, San Diego, 1, 1–6.
Lee, C.H. and Park, KC. (1992), Prediction of monthly transition of the composition stock price index using recurrent back-propagation, Int. Conf. on Artificial Neural Networks, 1992, Brighton, UK, 1629–1632.
Lesseps, M. and Morrel, J.G. (1977) Forecasting Exchange Rates: Theory and Practice, Henley Centre for Forecasting, London.
Liu, X. (1993)Dynamic system identification and prediction using neural networks, PhD thesis, School of Engineering, University of Wales, UK.
Pham, D.T. and Liu, X. (1995) Modelliing and prediction using GMDH neural networks, Int. J. Systems Science, in press.
Pham, D.T. and Liu, X. (1992) Dynamic system modelling using partially recurrent neural networks, J. of Systems Engineering, 2(2),90–97.
Refenes, AN., Azema-Barac, M., Chen, L., and Karoussos, S.A, (1993) Currency exchange rate prediction and neural network design strategies, Neural Computing and Applications, 1(1), 46–58.
White, H. (1988) Economic prediction using neural networks: The case of IBM daily stock returns, 1988 IEEE Int. Conf. on Neural Networks, San Diego, CA, 2,451–458.
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© 1995 Springer-Verlag London Limited
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Pham, D.T., Liu, X. (1995). Financial Prediction Using Neural Networks. In: Neural Networks for Identification, Prediction and Control. Springer, London. https://doi.org/10.1007/978-1-4471-3244-8_5
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DOI: https://doi.org/10.1007/978-1-4471-3244-8_5
Publisher Name: Springer, London
Print ISBN: 978-1-4471-3246-2
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