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Diversification benefits of commodity futures

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  • Cheung, C. Sherman
  • Miu, Peter

Abstract

The finance literature seems to be in support of the diversification benefits of adding commodity futures to an existing portfolio. Yet no empirical work has been performed to test whether the benefits are indeed statistically significant. This paper addresses several unresolved issues concerning the potential diversification benefits of commodities. First, we attempt to ascertain whether the alleged diversification benefits exist and are statistically significant. Second, to what extent are the diversification benefits unique to US investors? Would investors of a resource-based economy like Canada also benefit from adding commodities to their portfolios? Third, recent studies indicate that correlations among international equity returns are higher during bear markets than during bull markets. This type of regime-switching correlation behavior will mean lower diversification benefits from international investments when investors face a bearish environment at home. Do commodity futures display the same type of regime-switching behavior? To what extent do commodity futures offer real diversification benefits that are robust over time and across regimes? Finally, commodities may appear to be an asset for the more adventurous investors with higher risk tolerance. We want to know what type of investors should hold commodities. We demonstrate that the diversification benefit of commodities is a far more complex phenomenon than often understood in the finance literature.

Suggested Citation

  • Cheung, C. Sherman & Miu, Peter, 2010. "Diversification benefits of commodity futures," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(5), pages 451-474, December.
  • Handle: RePEc:eee:intfin:v:20:y:2010:i:5:p:451-474
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    References listed on IDEAS

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    1. Dietrich Domanski & Alexandra Heath, 2007. "Financial investors and commodity markets," BIS Quarterly Review, Bank for International Settlements, March.
    2. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    3. Fran├žois Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, April.
    4. Glen, Jack & Jorion, Philippe, 1993. " Currency Hedging for International Portfolios," Journal of Finance, American Finance Association, vol. 48(5), pages 1865-1886, December.
    5. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    6. Gray, Stephen F., 1996. "Modeling the conditional distribution of interest rates as a regime-switching process," Journal of Financial Economics, Elsevier, vol. 42(1), pages 27-62, September.
    7. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    8. Ramchand, Latha & Susmel, Raul, 1998. "Volatility and cross correlation across major stock markets," Journal of Empirical Finance, Elsevier, vol. 5(4), pages 397-416, October.
    9. Jobson, J. D. & Korkie, Bob, 1989. "A Performance Interpretation of Multivariate Tests of Asset Set Intersection, Spanning, and Mean-Variance Efficiency," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 24(02), pages 185-204, June.
    10. King, Mervyn & Sentana, Enrique & Wadhwani, Sushil, 1994. "Volatility and Links between National Stock Markets," Econometrica, Econometric Society, vol. 62(4), pages 901-933, July.
    11. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    12. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
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