Multi-factor Stochastic Model and Estimation Procedure for the Valuation and Hedging of Commodity Contingent Claims

Abstract

In this paper we provide a new multi-factor stochastic model of commodity futures prices and propose a Kalman filter estimation procedure that may be applied to a panel data with missing observations. This model may be used to implement financial engineering applications which require the valuation or hedging of commodity-linked assets. We calibrate our model using daily oil futures prices and analyze its goodness-of-fit to observed prices and empirical volatilities.