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- W2134923123 abstract "We propose a new approach for analyzing the Japanese government bond (JGB) market using text-mining technology. First, we extracted the feature vectors of the monthly reports from the Bank of Japan (BOJ). Then, the trends in the JGB market were estimated by a regression analysis using the feature vectors. As a result of comparison with support vector regression and other methods, the proposal method could forecast in higher accuracy about both the level and direction of long-term market trends. Moreover, our method showed high returns with annual rate averages as a result of the implementation test." @default.
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- W2134923123 date "2010-12-01" @default.
- W2134923123 modified "2023-10-02" @default.
- W2134923123 title "Trading Tests of Long-Term Market Forecast by Text Mining" @default.
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- W2134923123 doi "https://doi.org/10.1109/icdmw.2010.60" @default.
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