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Measuring What is Repeated and Novel in Earnings Disclosures Using Optimal Transport
We introduce an optimal transport framework to decompose the textual content of earnings press releases and conference calls into aligned (shared) and unaligned (unique) components, and use these as predictors of stock returns around earnings announcements. Using over 105,000 document pairs from 200
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