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An efficient frontier for international portfolios with commodity assets

Author

Listed:
  • Satyanarayan, Sudhakar
  • Varangis, Panos
  • DEC

Abstract

In recent years, the role of investment funds has increased in most commodity markets. Investment funds, which traditionally deal with financial markets, have been shifting between financial markets and commodity futures markets, as well as among commodity futures markets. The popularity of investing in emerging capital markets is as high as it has been since World War I. By 1913, nearly half of a typical equity portfolio was invested in emerging markets. Today, one in every four dollars invested in foreign equity markets goes to emerging markets. Both commodity futures and emerging capital markets are growing in popularity because they allow risk reductionthrough portfolio diversification. The authors analyze the benefits of including commodity futures and assets from emerging markets in an investment portfolio. They also try to calculate the optimal composition of assets. The calculated optimal weights show that a considerable proportion of an investment portfolio could be invested in commodity futures and emerging market assets. The weights calculated are higher than those funds usually used, signifying the potential for futher expansion of these assets in a portfolio. Finally, including commodity futures and assets from emerging markets in investment portfolios produces a significant risk/return benefit.

Suggested Citation

  • Satyanarayan, Sudhakar & Varangis, Panos & DEC, 1994. "An efficient frontier for international portfolios with commodity assets," Policy Research Working Paper Series 1266, The World Bank.
  • Handle: RePEc:wbk:wbrwps:1266
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    Citations

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    Cited by:

    1. Al Janabi, Mazin A.M., 2012. "Optimal commodity asset allocation with a coherent market risk modeling," Review of Financial Economics, Elsevier, vol. 21(3), pages 131-140.
    2. Mazin A.M. Al Janabi, 2012. "Optimal commodity asset allocation with a coherent market risk modeling," Review of Financial Economics, John Wiley & Sons, vol. 21(3), pages 131-140, September.
    3. Małgorzata Just & Aleksandra Łuczak, 2020. "Assessment of Conditional Dependence Structures in Commodity Futures Markets Using Copula-GARCH Models and Fuzzy Clustering Methods," Sustainability, MDPI, vol. 12(6), pages 1-22, March.

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