The Proceedings of The Computational Mechanics Conference
Online ISSN : 2424-2799
2010.23
Session ID : 2208
Conference information
2208 Economic Fluctuation Analysis by Stock Price Prediction
Kaoru KAMIYAYi ZUOHiroki KATOEisuke KITA
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract
This paper describes the application of the prediction of stock index by using Bayesian network. In the prediction of FTSE100 in 2007 January-October, the prediction accuracy of Bayesian network was better than that of technical analysis. Next, the history of the prediction accuracy of index in 2007 was discussed. The results indicated that the reduction of prediction accuracy of Bayesian network is effective for finding the trend change of the market.
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© 2010 The Japan Society of Mechanical Engineers
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