This paper studies the dynamic interaction between the net positions of traders and risk premiums in commodity futures markets. Short-term position changes are mainly driven by the liquidity demands of non-commercial traders, while long-term variation is primarily driven by the hedging demands...

This article reviews the literature on commodities from the perspective of an investor. We re-examine some of the early papers in the literature using recent data and find that the empirical support for the theory of normal backwardation as an explanation for the commodity risk premium is weak...

This paper reviews the literature on commodities from the perspective of an investor. We re-examine some of the early papers in the literature using recent data, and find that the empirical support for the Theory of Normal Backwardation as an explanation for the commodity risk premium is weak,...

The commodity futures basis—the difference between the first and second futures prices—is known to forecast commodity futures returns, arguably through its relation with the convenience yield. We propose a refined measure of the basis, dubbed the relative basis, which is the difference...

Using a novel comprehensive database of 230 commodity futures that traded between 1871 and 2018, we document that futures prices have on average been set at a discount to future spot prices by about 5%. The historical risk premium is robust across commodity sectors and varies with the state of...

We document the properties of the first diversified commodity futures index introduced by the Dow Jones Company in 1933, and use its live track record to study the properties of the asset class in an experimental setting that does not suffer from backfill, selection, or survivorship biases....

We introduce a new methodology to estimate the latent factors of a multivariate jump diffusion process illustrated with an application to the commodity futures term structure. Specifically, we propose a new state space form and then use a modified Kalman filter to estimate models with latent...