activity
20242026
collaborators

7 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…

q-fin.CP2025

Extracting the Structure of Press Releases for Predicting Earnings Announcement Returns

Yuntao Wu, Ege Mert Akin, Charles Martineau +2

We examine how textual features in earnings press releases predict stock returns on earnings announcement days. Using over 138,000 press releases from 2005 to 2023, we compare trad…

q-fin.MF2025

Modeling Loss-Versus-Rebalancing in Automated Market Makers via Continuous-Installment Options

Srisht Fateh Singh, Reina Ke Xin Li, Samuel Gaskin +5

This paper mathematically models a constant-function automated market maker (CFAMM) position as a portfolio of exotic options, known as perpetual American continuous-installment (C…

q-fin.GN2024

Understanding the Excess Bond Premium

Kevin Benson, Ing-Haw Cheng, John Hull +5

We study the drivers of the Gilchrist and Zakrajšek (2012) excess bond premium (EBP) through the lens of the news. The monthly attention the news pays to 180 topics (Bybee et al.,…

cs.LG2024

Deep-MacroFin: Informed Equilibrium Neural Network for Continuous Time Economic Models

Yuntao Wu, Jiayuan Guo, Goutham Gopalakrishna +1

In this paper, we present Deep-MacroFin, a comprehensive framework designed to solve partial differential equations, with a particular focus on models in continuous time economics.…