Predicting Financial Returns: The Model Dilemma

This chapter explores the complexities of developing predictive models for short-term financial returns, emphasizing the role of large datasets and market microstructure effects. The conversation compares financial modeling to quantum physics, highlighting the challenges of recognizing patterns amid randomness in stock price movements. It also discusses the implications of varying time horizons on investment strategies and the limitations of forecasting models in the face of economic uncertainty.