Reshaping Alpha with Conditional Probability: A Low-Cost Improvement Path for Index Timing
Direct linear regression prediction of index returns has long been recognized as a challenging task in industry time-series timing research. Constrained by the extremely low signal-to-noise ratio and pervasive nonlinear characteristics of financial data, ordinary least squares (OLS) regression suffers from poor out-of...