5 papers
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…
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…
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…
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.…
Understanding the Excess Bond Premium
Kevin Benson, Ing-Haw Cheng, John Hull +5
We study the drivers of the Gilchrist and ZakrajÅ¡ek (2012) excess bond premium (EBP) through the lens of the news. The monthly attention the news pays to 180 topics (Bybee et al.,…