Si-Han Qin

Stock Asset Pricing Based on the Integration of Multifactor Models and Machine Learning

This study examines whether combining traditional multifactor asset-pricing theory with machine-learning methods can improve the explanation and prediction of U.S. stock returns. The sample comprises ten large U.S.-listed firms across six sectors, with SPY as the market proxy. Monthly returns cover August 2023 through...