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Modelling the conditional volatility of commodity index futures as a regime switching process

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Author Info
Wai Mun Fong (Department of Finance and Accounting, National University of Singapore, Kent Ridge Crescent, Singapore 119260)
Kim Hock See (Department of Finance and Accounting, National University of Singapore, Kent Ridge Crescent, Singapore 119260)
Abstract

Commodity index futures offer a versatile tool for gaining different forms of exposure to commodity markets. Volatility is a critical input in many of these applications. This paper examines issues in modelling the conditional variance of futures returns based on the Goldman Sachs Commodity Index (GSCI). Given that commodity markets tend to be 'choppy' (Webb, 1987), a general econometric model is proposed that allows for abrupt changes or regime shifts in volatility, transition probabilities which vary explicitly with observable fundamentals such as the basis, GARCH dynamics, seasonal variations and conditional leptokurtosis. The model is applied to daily futures returns on the GSCI over 1992-1997. The results show clear evidence of regime shifts in conditional mean and volatility. Once regime shifts are accounted for, GARCH effects are minimal. Consistent with the theory of storage, returns are more likely to switch to the high-variance state when the basis is negative than when the basis is positive. The regime switching model also performs well in forecasting the daily volatility compared to standard GARCH models without regime switches. The model should be of interest to sophisticated traders who base their trading strategies on short-term volatility movements, managed commodity funds interested in hedging an underlying diversified portfolio of commodities and investors of options and other derivatives tied to GSCI futures contracts. Copyright © 2001 John Wiley & Sons, Ltd.

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Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 16 (2001)
Issue (Month): 2 ()
Pages: 133-163
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Handle: RePEc:jae:japmet:v:16:y:2001:i:2:p:133-163

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  1. Baillie, Richard T. & DeGennaro, Ramon P., 1990. "Stock Returns and Volatility," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(02), pages 203-214, June. [Downloadable!]
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  2. Atchison, Michael D & Butler, Kirt C & Simonds, Richard R, 1987. " Nonsynchronous Security Trading and Market Index Autocorrelation," Journal of Finance, American Finance Association, vol. 42(1), pages 111-18, March. [Downloadable!] (restricted)
  3. Serletis, Apostolos, 1992. "Maturity effects in energy futures," Energy Economics, Elsevier, vol. 14(2), pages 150-157, April. [Downloadable!] (restricted)
  4. French, Kenneth R. & Schwert, G. William & Stambaugh, Robert F., 1987. "Expected stock returns and volatility," Journal of Financial Economics, Elsevier, vol. 19(1), pages 3-29, September. [Downloadable!] (restricted)
  5. Hansen, Bruce E, 1992. "The Likelihood Ratio Test under Nonstandard Conditions: Testing the Markov Switching Model of GNP," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S61-82, Suppl. De. [Downloadable!] (restricted)
  6. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December. [Downloadable!] (restricted)
  7. Deb, Partha, 1997. "Finite sample properties of the ARCH class of models with stochastic volatility," Economics Letters, Elsevier, vol. 55(1), pages 27-34, August. [Downloadable!] (restricted)
  8. Bailey, Warren & Chang, K C, 1993. " Macroeconomic Influences and the Variability of the Commodity Futures Basis," Journal of Finance, American Finance Association, vol. 48(2), pages 555-73, June. [Downloadable!] (restricted)
  9. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-47, August. [Downloadable!] (restricted)
  10. Tim Bollerslev & Jeffrey Wooldridge, 1992. "Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances," Econometric Reviews, Taylor and Francis Journals, vol. 11(2), pages 143-172. [Downloadable!] (restricted)
  11. Deaton, Angus & Laroque, Guy, 1992. "On the Behaviour of Commodity Prices," Review of Economic Studies, Blackwell Publishing, vol. 59(1), pages 1-23, January. [Downloadable!] (restricted)
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  12. Chou, Ray Yeutien, 1988. "Volatility Persistence and Stock Valuations: Some Empirical Evidence Using Garch," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 3(4), pages 279-94, October-D. [Downloadable!] (restricted)
  13. Bresnahan, Timothy F & Spiller, Pablo T, 1986. "Futures Market Backwardation under Risk Neutrality," Economic Inquiry, Oxford University Press, vol. 24(3), pages 429-41, July.
  14. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April. [Downloadable!] (restricted)
  15. Lo, Andrew W. & Craig MacKinlay, A., 1990. "An econometric analysis of nonsynchronous trading," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 181-211. [Downloadable!] (restricted)
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  16. Lester G. Telser, 1958. "Futures Trading and the Storage of Cotton and Wheat," Journal of Political Economy, University of Chicago Press, vol. 66, pages 233. [Downloadable!] (restricted)
  17. French, Kenneth R, 1986. "Detecting Spot Price Forecasts in Futures Prices," Journal of Business, University of Chicago Press, vol. 59(2), pages S39-54, April. [Downloadable!] (restricted)
  18. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July. [Downloadable!] (restricted)
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