Predicting Returns With Text Data
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We introduce a new text-mining methodology that extracts sentiment information from news articles to predict asset returns. Unlike more common sentiment scores used for stock return prediction (e.g., those sold by commercial vendors or built with dictionary-based methods), our supervised learning
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美国国家经济研究局创建时间:
2019-09-01



