In this study, we investigate the cross-section of option implied tail risks in commodity markets. In contrast to findings from equity markets, left and right tail risk implied by option markets are both large. Commodity specific variables exert the largest influence on tail risk, while there is...

The futures curve of an aggregate commodity portfolio is time-varying and changes from upward (contango) to downward sloping (backwardation) which implies negative or positive expected returns. The basis arises as a natural fundamental to predict commodity returns. However, the empirical...

The present study aims at modelling market risk for four commodities, namely West Texas Intermediate (WTI) crude oil, natural gas, gold and corn for the period 2007-2017. To this purpose, we use Extreme Value Theory (EVT) together with a set of Conditional Auto-Regressive Logit (CARL) models to...

Accurate prediction of the frequency of extreme events is of primary importance in many financialapplications such as Value-at-Risk (VaR) analysis. We propose a semi-parametric method for VaRevaluation. The largest risks are modelled parametrically, while smaller risks are captured by the...

This paper develops an empirical cost of carry model with endogenously conditioned convenience yield. The approach is implemented using monthly prices of all futures contracts traded at the New York Mercantile Exchange between 1985 and 2006. Tests indicate that the model fits the data extremely...

Motivated by repeated price spikes and crashes over the last decade, we investigate whether the rapidly growing market shares of futures speculators have destabilized commodity spot prices. We approximate conditional volatility and regress it on expected and unexpected speculative open interest....