This paper investigates price jumps in commodity markets. We find that jumps are rare and extreme events but occur less frequently than in stock markets. Nonetheless, jump correlations across commodities can be high depending on the commodity sectors. Energy, metal and grains commodities show...

We analyze the variance risk of commodity markets. We construct synthetic variance swaps and find significantly negative realized and expected variance swap payoffs in most markets. We find evidence of commonalities among the realized payoffs of commodity variance swaps. We also document...

This paper studies comovements in commodity futures markets. We compare factor models with respect to their fit of commodity return comovements. A model based on traded long-short portfolio returns outperforms a macroeconomic model, and explains 96% of the realised comovement. Dissecting the...

In this paper, we study jumps in commodity prices. Unlike assumed in existing models of commodity price dynamics, a simple analysis of the data reveals that the probability of tail events is not constant but depends on the time of the year, i.e. exhibits seasonality. We propose a stochastic...

We analyze the relationship between economic uncertainty and commodity market volatility. We find that commodity market volatility comoves strongly with economic and financial uncertainty, especially during recessions. Variables associated with credit risk, financial market stress, and...