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Over the past 15 years,there have been a number of studies using text mining for predicting stock market data. Two …. However, these approaches either completely neglect interactions between the features extracted from the text, or they only …
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Machine learning is an increasingly important and controversial topic in quantitative finance. A lively debate persists as to whether machine learning techniques can be practical investment tools. Although machine learning algorithms can uncover subtle, contextual and non-linear relationships,...
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Stock returns predictability has been a long-standing topic in the literature on financial economics. Developments in prediction technology have facilitated the wide use of machine learning techniques, which motivates our study of whether stock returns predictability can be improved using...
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