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1. HEDGING INDUSTRIAL METALS WITH STOCHASTIC VOLATILITY MODELS

Author:Liu, QF;Chng, MT;Xu, DX

Source:JOURNAL OF FUTURES MARKETS,2014,Vol.34

Abstract:The financialization of commodities documented in [Tang and Xiong (2012) Financial Analyst Journal, 68:54-74] has led commodity prices to exhibit not only time-varying volatility, but also price and volatility jumps. Using the class of stochastic volatility (SV) models, we incorporate such extreme price movements to generate out-of-sample hedge ratios. In-sample estimation on China's copper (CU) and aluminum (AL) spot and futures markets confirms the presence of price jumps and price-volatility jump correlations. Out-of-sample hedge ratios from the [Bates (1996) Review of Financial Studies, 9:69-107] SV with price jumps model deliver the greatest risk reduction on the unhedged positions at 59.55%% for CU and 49.85%% for AL. But it is the [Duffie, Pan, and Singleton (2000) Econometrica, 68:1343-1376] SV model with correlated price and volatility jumps that produces hedge ratios which yield the largest Sharpe Ratios of 0.644 for CU and 0.886 for AL. (C) 2014 Wiley Periodicals, Inc.
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