A combination of hidden Markov model and fuzzy model for stock market forecasting

Author:

Hassan Md. Rafiul

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference22 articles.

1. M.R. Hassan, B. Nath, Stock market forecasting using hidden Markov model: a new approach, in: Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications, 2005, pp. 192–196.

2. M.K. Tambi, Forecasting exchange rate a uni-variate out of sample approach (box Jenkins methodology), International Finance-Economics Working Paper Archive, 2005, p. 0506005.

3. A fusion model of HMM, ANN and GA for stock market forecasting;Hassan;Expert Systems with Applications,2007

4. J.H. Choi, M.K. Lee, M.W. Rhee, Trading s&p500 stock index futures using a neural network, in: Proceedings of the Third Annual International Conference on Artificial Intelligence Applications on Wall Street, 1995, pp. 63–72.

5. S. Wu, R. Lu, Combining artificial neural networks and statistics for stock-market forecasting, in: ACM Conference on Computer Science, 1993, pp. 257–264.

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