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Commodity Futures Indices and Traditional Asset Markets in India: DCC Evidence for Portfolio Diversification Benefits

Author

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  • M.A. Lagesh

    (M.A. Lagesh (corresponding author), Research Scholar, Department of Economics, University of Hyderabad, Hyderabad 500 046, India. E-mail: malagesh@gmail.com)

  • Mohammed Kasim C.

    (Mohammed Kasim C., Assistant Professor, Department of Economics, Farook College, Kozhikode 673632, Kerala, India. E-mail: turn2kas@gmail.com)

  • Sunil Paul

    (Sunil Paul, Assistant Professor, Madras School of Economics (MSE), Gandhi Mandapam Road, Chennai 600025, Tamil Nadu, India. E-mail: sunilpaul@mse.ac.in)

Abstract

This article investigates the potential for portfolio diversification benefits of commodity futures in the Indian context. For this purpose, we have estimated dynamic conditional correlations (DCC) between returns of four commodity futures indices and traditional asset class indices such as stock index, long-term bond index and Treasury bill index, separately for the pre-crisis and crisis period using the DCC–GARCH model and daily data ranging from June 2005 to September 2011. Empirical results reveal that there exist very low dynamic conditional correlations between commodity futures indices returns and traditional asset indices returns, an evidence illustrating the potential for portfolio diversification benefits of commodity futures. Commodity futures become more segmented from the traditional asset market; thus they can be effectively used for strategic asset allocation. Further, the conditional correlation between agriculture commodity future returns with long-run and short-run bond returns declined during the crisis period. Similarly, the conditional correlations of commodity futures indices returns (agriculture, energy and metal) with the stock index declined in periods of high volatility in the equity markets. These two findings indicate that the diversification benefits of commodity futures are most realized when the risks in traditional asset markets rise.

Suggested Citation

  • M.A. Lagesh & Mohammed Kasim C. & Sunil Paul, 2014. "Commodity Futures Indices and Traditional Asset Markets in India: DCC Evidence for Portfolio Diversification Benefits," Global Business Review, International Management Institute, vol. 15(4), pages 777-793, December.
  • Handle: RePEc:sae:globus:v:15:y:2014:i:4:p:777-793
    DOI: 10.1177/0972150914543418
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    References listed on IDEAS

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    3. Sibanjan Mishra, 2019. "Testing Martingale Hypothesis Using Variance Ratio Tests: Evidence from High-frequency Data of NCDEX Soya Bean Futures," Global Business Review, International Management Institute, vol. 20(6), pages 1407-1422, December.
    4. Shernaz Bodhanwala & Harsh Purohit & Nidhi Choudhary, 2020. "The Causal Dynamics in Indian Agriculture Commodity Prices and Macro-Economic Variables in the Presence of a Structural Break," Global Business Review, International Management Institute, vol. 21(1), pages 241-261, February.
    5. Niu, Hongli & Hu, Ziang, 2021. "Information transmission and entropy-based network between Chinese stock market and commodity futures market," Resources Policy, Elsevier, vol. 74(C).
    6. Monika Chopra & Chhavi Mehta & Aman Srivastava, 2021. "Inflation-Linked Bonds as a Separate Asset Class: Evidence from Emerging and Developed Markets," Global Business Review, International Management Institute, vol. 22(1), pages 219-235, February.
    7. Soni, Rajat Kumar & Nandan, Tanuj, 2022. "Modeling Covid-19 contagious effect between asset markets and commodity futures in India," Resources Policy, Elsevier, vol. 79(C).

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