Abstract
We study the impact of company news announcements on stock prices and show that these announcements affect daily excess returns. We demonstrate that daily excess return direction can be predicted with statistical significance by analyzing news announcements, using automatic natural language processing tools. We use state-of-the-art text analysis algorithms in order to automatically extract meaningful information from news announcements, thus expanding the set of tools available to researchers in the field.
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