Short-Term Stock Selection Using News Based Indicators

Peter Hafez, Junqiang Xie
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Abstract

Calculating news sentiment indexes at the company level in real time offer a better understanding of the role of sentiment in asset pricing. This study shows how to construct these indexes, and how to create signals that can form the basis of a news-based short-term stock selection model. Overall, we find that news sentiment holds strong predictive power and delivers high risk-adjusted performance.
利用基于新闻的指标进行短期股票选择
在公司层面实时计算新闻情绪指数,可以更好地理解情绪在资产定价中的作用。本研究展示了如何构建这些指数,以及如何创建可以构成基于新闻的短期选股模型基础的信号。总体而言,我们发现新闻情绪具有很强的预测能力,并提供高风险调整后的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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