The authors present an exact methodology for decomposing cross-sectional volatility into contributions from various factors. Treating country, industry, and style factors equally, they used their framework to investigate several relevant issues in the global equity markets, including the...

Using a parametric portfolio optimization approach, I show how international momentum strategies can be significantly improved by decomposing global momentum returns. The parametrization models the optimal portfolio weights as a function of the decomposed components and overweights equity...

Using a generalized vector autoregressive framework in which forecast-error variance decompositions are invariant to variable ordering, we propose measures of both total and directional volatility spillovers. We use our methods to characterize daily volatility spillovers across U.S. stock, bond,...

Using a generalized vector autoregressive framework in which forecast-error variance decompositions are invariant to variable ordering, we propose measures of both total and directional volatility spillovers. We use our methods to characterize daily volatility spillovers across U.S. stock, bond,...

This paper studies the co-movement of global yield curve dynamics using a Bayesian hierarchical factor model augmented with macroeconomic fundamentals. Our data-driven approach is able to pin down the drivers of yield curve dynamics and produce plausible term premium estimates. We reveal the...