Predicting Stock Market Crashes with Interpretable Machine Learning
July 8, 2021 - Economic Indicators, Fundamental Valuation, Investing Expertise, Technical Trading
Can machine learning-generated stock market crash predictions be amenable to human interpretation? In their June 2021 paper entitled “Explainable AI (XAI) Models Applied to Planning in Financial Markets”, Eric Benhamou, Jean-Jacques Ohana, David Saltiel and Beatrice Guez apply a gradient boosting decision tree (GBDT) to 150 technical, fundamental and macroeconomic inputs to generate daily predictions… Keep Reading