A four-factor stochastic volatility model of commodity prices
Max F. Schöne () and
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Max F. Schöne: WHU-Otto Beisheim School of Management
Stefan Spinler: WHU-Otto Beisheim School of Management
Review of Derivatives Research, 2017, vol. 20, issue 2, 135-165
Abstract The number of factors driving the uncertain dynamics of commodity prices has been a central consideration in financial literature. While the majority of empirical studies relies on the assumption that up to three factors are sufficient to explain all relevant uncertainty inherent in commodity spot, futures, and option prices, evidence from Trolle and Schwartz (Rev Financ Stud 22(11):4423–4461, 2009b) and Hughen (J Futures Mark 30(2):101–133, 2010) indicates a need for additional risk factors. In this article, we propose a four-factor maximal affine stochastic volatility model that allows for three independent sources of risk in the futures term structure and an additional, potentially unspanned stochastic volatility process. The model principally integrates the insights from Hughen (2010) and Tang (Quant Finance 12(5):781–790, 2012) and nests many well-known models in the literature. It can account for several stylized facts associated with commodity dynamics such as mean reversion to a stochastic level, stochastic volatility in the convenience yield, a time-varying correlation structure, and time-varying risk-premia. In-sample and out-of-sample tests indicate a superior model fit to futures and options data as well as lower hedging errors compared to three-factor benchmark models. The results also indicate that three factors are not sufficient to model the joint dynamics of futures and option prices accurately.
Keywords: Asset pricing; Commodity markets; Commodity derivatives; Derivatives pricing; Asset price process; Commodity risk management (search for similar items in EconPapers)
JEL-codes: G13 (search for similar items in EconPapers)
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