Using a large number of predictors and based on an extended iterated combination approach of Lin, Wu, and Zhou (2017), we document both statistical and economic significance of Treasury bond return predictability. Macroeconomic and aggregate liquidity variables contain predictive information for...

We re-examine the market efficiency of commodity futures using a new approach that accounts for both time-varying risk premium and conditional heteroscedasticity of spot prices. The conventional market efficiency tests so far in the literature are based on either risk neutral or constant risk...

We document strong evidence of cross-sectional predictability of corporate bond returns based on a set of yield predictors that capture the information in the yields of past 1, 3, 6, 12, 24, 36 and 48 months. Return predictability is economically and statistically significant, and is robust to...

This paper compares models trained with classification algorithm with those trained using regression algorithm. We use technical indicators, 43 bond characteristics and 94 stock characteristics as predictors. We find very strong evidences of the superior predictive ability of classification...