Forecasting multinomial stock returns using machine learning methods
In this paper, the daily returns of the S&P 500 stock market index are predicted using a variety of different machine learning methods. We propose a new multinomial classification approach to forecasting stock returns. The multinomial approach can isolate the noisy fluctuation around zero return...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2020-11-01
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| Series: | Journal of Finance and Data Science |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405918820300143 |