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Diversification effect of commodity futures on financial markets

Graduate School of Advanced Integrated Studies in Human Survivability (GSAIS), Kyoto University,1, Yoshida-Nakaadachi-cho, Sakyo-ku, Kyoto 606-8306, JAPAN

Special Issues: Volatility of Prices of Financial Assets

This paper examines the portfolio diversification effect of commodity futures on financial market products introducing a comprehensive evaluation standard of risk standardization, robustly small correlation, and risk-return tradeoff. Regarding risk standardization, we propose a definition of portfolio diversification as how much the distribution of portfolio returns is close to a normal distribution. It is shown by using an ɑ-stable distribution that if commodity price return distribution has the opposite sign of skewness parameter β to financial portfolio’s β, commodity diversification effect exists. The empirical studies using S&P 500, U.S. 10-year treasury notes, and DJ-AIG commodity index are conducted to investigate the portfolio diversification effects. The parameter estimation results of portfolio return distributions, the conditional correlations using the dynamic conditional correlation model with financial exogenous variables, and the effcient frontier from the mean-CVaR portfolio optimization all suggest that commodity futures have a diversification effect on financial markets.
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Keywords diversification effect; commodity futures; ɑ-stable distribution; dynamic conditional correlation model with exogenous variables; mean-CVaR portfolio optimization

Citation: Takashi Kanamura. Diversification effect of commodity futures on financial markets. Quantitative Finance and Economics, 2018, 2(4): 821-836. doi: 10.3934/QFE.2018.4.821

References

  • 1. Berger T, Uddin G.S (2016) On the dynamic dependence between equity markets, commodity futures and economic uncertainty indexes. Energy Econ 56: 374–383.    
  • 2. Bickel P, Doksum K (2001) Mathematical Statistics: Basic Ideas and Selected Topics Vol. 1. New Jersey: Prentice-Hall, Inc.
  • 3. Büyüks¸ahin B, Robe M.A (2014) Speculators, commodities and cross-market linkages. J Int Money Finan 42: 38–70.    
  • 4. Büyüks¸ahin B, Haigh M. S, Robe M. A (2010) Commodities and equities: Ever a "market of one"? The J of Alternative Investments 12: 76–95.
  • 5. Cheng I.-H, Kirilenko A, Xiong W (2015) Convective risk flows in commodity futures markets. Rev Financ 19: 1733–1781.    
  • 6. Cifarelli G, Paladino G (2010) Oil price dynamics and speculation: A multivariate financial approach. Energy Econ 32: 363–372.
  • 7. Creti A, Joëts M, Mignon V (2013) On the links between stock and commodity markets' volatility. Energy Econ 37: 16–28.    
  • 8. Delatte A.L, Lopez C (2013) Commodity and equity markets: Some stylized facts from a copula approach. J Bank Financ 37: 5346–5356.    
  • 9. Engle R.F (2002) Dynamic conditional correlation: A simple class of multivariate GARCH models. J Bus Econ Stat 20: 339–350.    
  • 10. Erb C, Harvey C (2006) The strategic and tactical value of commodity futures. Financ Anal J 62: 69–97.    
  • 11. Geman H (2005) Commodities and Commodity Derivatives: Modeling and Pricing for Agriculturals, Metals and Energy. West Sussex: John Wiley & Sons Ltd.
  • 12. Geman H, Kharoubi C (2008) WTI crude oil futures in portfolio diversification: The time-to-maturity effect. J Bank Financ 32: 2553–2559.    
  • 13. Goetzmann W. N, Kumar A (2008) Equity portfolio diversification. Rev Financ 12: 433–463.    
  • 14. Gorton G, Rouwenhorst K.G (2006) Facts and fantasies about commodity futures. Financ Anal J 62: 47–68.
  • 15. Henderson B. J, Pearson N.D, Wang L (2015) New evidence on the financialization of commodity markets. Rev of Financ Studies 28: 1285–1311.    
  • 16. Ibragimov R (2009) Portfolio diversification and value at risk under thick-tailedness. Quant Financ 9: 565–580.    
  • 17. Jones C. M, Lamont O, Lumsdaine R. L (1998) Macroeconomic news and bond market volatility. J of Financ Econ 47: 315–337.    
  • 18. King D. A, Young M. S (1994) Why diversification doesn't work: Flaws in modern portfolio theory turn real estate portfolio managers back to old-fashioned underwriting. Real Estate Rev 25: 6–12.
  • 19. Kolodziej M, Kaufmann R.K, Kulatilaka N, et al. (2014) Crude oil: Commodity or financial asset? Energy Econ 46: 216–223.    
  • 20. Koutrouvelis I. A (1980) Regression-type estimation of the parameters of stable laws. J Am Stat Assoc 75: 918–928.    
  • 21. Kyrtsou C, Mikropoulou C, Papana A (2016) Does the S&P500 index lead the crude oil dynamics? A complexity-based approach. Energy Econ 56: 239–246.
  • 22. Martin D, Rachev S. T, Siboulet F (2003) Phi-alpha optimal portfolios and extreme risk management. Wilmott Magazine of Financ November: 70-83.
  • 23. Rockafellar R.T, Uryasev S (2000) Optimization of conditional value-at-risk. J Risk 2: 21–41.    
  • 24. Samorodnitsky G, Taqqu M.S (1994) Stable Non-Gaussian Random Processes. London: Chapman & Hall.
  • 25. Vargas G. A (2008) What drives the dynamic conditional correlation of foreign exchange and equity returns? Working Paper, Singapore Management University.

 

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