Assessing the Applicability of Linear Regression in Modeling Stock Market Returns

This study examines whether linear regression can effectively model daily stock market returns. Using historical price data, daily logarithmic returns were calculated and analyzed through a regression framework to evaluate the method’s predictive capability. The dataset and analysis are fully reproducible, making this work a useful resource for students and researchers in financial econometrics, time series analysis, and quantitative finance.