AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Machine Learning and Conservative Investing
A lot of factor portfolios built around the conservative investing idea use sort of historical looking realized volatility that just being an output. Do you think the future of conservative investing could be to outright ignore things like realized volatility and realized beta and look at more fundamental nonlinear drivers of risk? Yeah so in the past decades we've innovated on predicting risk including distress risk as just most lately adding machine learning.