Ruo-Tong Chen

From Traditional Methods to Large Language Models: A Comparative Study of Three Stock Return Prediction Models

This paper examines the Fama -French model to represent the linear factor tradition, LASSO with random forests and neural nets for machine learning, and LLM-based text methods for the newest wave of stock return forecasting, and examines them across their theoretical foundations, the data they consume, how they model r...