We study the relationship between Bitcoin and commodities by assessing the ability of Bitcoin to act as a diversifier, hedge, or safe haven against daily movements in commodities in general, and energy commodities in particular. We focus on energy commodities because energy, in the form of...

We study the relationship of the VIX index and the exchange traded note VXX on various time scales. We find that changes of VIX and VXX are correlated only contemporaneously on time scales of days, but VIX leads VXX on time scales of months. Next, we construct a simple joint model for VXX and...

We apply heterogenous autoregressive (HAR) models – including nine univariate, two multivariate and three combination models – to high-frequency data to predict the one-day forward volatilities of two strategically linked commodities, gold and silver. We provide evidence that it is difficult...

This paper investigates volatility forecasting for crude oil and natural gas. The main objective of our research is to determine whether the heterogeneous autoregressive (HAR) model of Corsi (2009) can be outperformed by harnessing information from a related energy commodity. We find that on...