Machine learning approach to stock price crash risk

Abdullah Karasan, Ozge Sezgin Alp, Gerhard-Wilhelm Weber

In this study, we propose a novel machine-learning-based measure for stock price crash risk, utilizing the minimum covariance determinant methodology. Employing this newly introduc…