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Trading ebook Finance - Neural Prediction of Weekly Stock Market Index

Since 2 this is also the focus of the present project

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Unformatted text preview: the future stock prices. Since, 2 this is also the focus of the present project, some of these papers are described in greater detail especially with respect to the feature extraction, wherever such information has been made available in these publications. Modular neural network approach Kimoto et al [12] use several neural networks trained to learn the relationships between past values of various technical and economic indices for obtaining the expected returns of the TOPIX. The TOPIX is a weighted average of all stocks listed on the Tokyo Stock Exchange and is similar to the Dow Jones Industrial Average (DJIA). The technical and economic indices used are: the vector curve (an indicator of market momentum), turnover, interest rate, foreign exchange rate and the DJIA value. The desired output of the networks is a weighted sum, over a few weeks, of the logarithm of the ratio of the TOPIX at the end of week t, to the TOPIX value at the end of week (t-1). Thus, rt = ln(TOPIX(t)/TOPIX(t-1)) and the desired output is a weighted sum...
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