3 papers
cs.CE2026
Linguistic Passiveness in Earnings Calls and Stock Returns
Lynn Tao, Yuntao Wu, Charles Martineau +2
We study linguistic passiveness as the fraction of passive-voice sentences in earnings conference call Q&A sessions and show it is informative for equity markets. Using 105,642 U.S…
cs.CE2026
Measuring What is Repeated and Novel in Earnings Disclosures Using Optimal Transport
Yuntao Wu, Lynn Tao, Charles Martineau +2
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…
q-fin.CP2025
Aligning Multilingual News for Stock Return Prediction
Yuntao Wu, Lynn Tao, Ing-Haw Cheng +4
News spreads rapidly across languages and regions, but translations may lose subtle nuances. We propose a method to align sentences in multilingual news articles using optimal tran…