Does modelling stochastic interest rates, beyond stochastic volatility, improve pricing performanceon long-dated commodity derivatives? To answer this question, we consider futuresprice models for commodity derivatives that allow for stochastic volatility and stochastic interestrates and a...

What can we learn about a physical commodity by studying its hedging characteristics? We use a hedging study to shed light on important properties of ethanol (a developing market) and corn (a mature market). Our three primary innovations are empirical, with implications for all storable...

By employing a continuous time stochastic volatility model, the dynamic relation between price returns and volatility changes in the commodity futures markets is analysed. An extensive daily database of gold and crude oil futures and futures options is used to estimate the model that is well...

We derive the valuation formula of a European call option on the spread of two cointegrated commodity prices, based on the GSC (Gibson-Schwartz with cointegration) model. We also analyze the American commodity spread option including the early exercise premium representation and an analytical...

In this paper we introduce a new two-factor commodity term structure model for which inventories serve as a second state variable. We derive a closed-form formula for futures prices and empirically analyze the model's properties. Besides being economically appealing, our model also outperforms...

We derive a general joint affine term structure model of US government bond yields and the convenience yields on physical commodities. We apply this framework separately to oil and gold. Our results show clear links between bond and commodity markets, since bond factors play a significant role...

The paper develops an oil price forecasting technique which is based on the present value model of rational commodity pricing. The approach suggests shifting the forecasting problem to the marginal convenience yield which can be derived from the cost-of-carry relationship. In a recursive...

​We develop and estimate a multifactor affine model of commodity futures that allows for stochastic variations in seasonality. We show conditions under which the yield curve and the cost-of-carry curve adopt augmented Nelson and Siegel functional forms. This restricted version of the model is...

We present four models for predicting temperatures that can be used for pricing weather derivatives. Three of the models have been suggested in prior literature, and we suggest another model which uses splines to remove trend and seasonality effects from temperature time series in a flexible...

In this paper we develop a multi-factor model for the joint dynamics of related commodity spot prices in continuous time. We contribute to the existing literature by simultaneously considering various commodity markets in a single consistent model and show in an application the economic...