K. Keshava

An Open Benchmark for Evaluating Time Series Forecasting Methods Across Financial Markets

Holding the data fixed and evaluating roughly a dozen univariate methods without exogenous regressors, it is found that asset returns remain near unforecastable across every method family and that hybrid and machine learning methods exhibit additional forecasting power on basis spreads and bank indicators.