We use variance decompositions from high-dimensional vector autoregressions to characterize connectedness in 19 key commodity return volatilities, 2011-2016. We study both static (full-sample) and dynamic (rolling-sample) connectedness. We summarize and visualize the results using tools from...

This paper analyzes a novel data set of commodity futures prices over a long sample period starting in 1877, which allows us to shed new light on several important and controversial questions. We document that commodity futures returns (1) have been positive on average; (2) vary significantly...