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Do the Spot and Futures Markets for Commodities in India Move Together?

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  • Ranajit Chakraborty
  • Rahuldeb Das

Abstract

The objective of this paper is to study the relationship between spot and futures prices of commodities in the Indian commodity market. Few agricultural and non-agricultural commodities have been involved in analyzing the co-movements of the spot and the futures prices. Long-run and short-run cointegartions between spot and futures prices have been tested for the selected commodities. The lead/lag relationship between spot and futures prices has been examined by using Granger causality test. The study shows that spot and futures prices are cointegrated in long-run for most of the commodities. Information spillover observed form spot market to spot market for most of the commodities. Moreover, the Granger causality test shows that spot prices are the Granger cause of futures prices for all the commodities except the index MCXAGRI. Bi-directional information is also observed flow for a number of commodities.

Suggested Citation

  • Ranajit Chakraborty & Rahuldeb Das, 2015. "Do the Spot and Futures Markets for Commodities in India Move Together?," International Journal of Financial Economics, Research Academy of Social Sciences, vol. 4(3), pages 150-159.
  • Handle: RePEc:rss:jnljfe:v4i3p3
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    References listed on IDEAS

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    1. Vishwanathan Iyer & Archana Pillai, 2010. "Price discovery and convergence in the Indian commodities market," Indian Growth and Development Review, Emerald Group Publishing Limited, vol. 3(1), pages 53-61, April.
    2. Andrew McKenzie & Matthew Holt, 2002. "Market efficiency in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1519-1532.
    3. Pierre Giot, 2003. "The information content of implied volatility in agricultural commodity markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 23(5), pages 441-454, May.
    4. Garbade, Kenneth D & Silber, William L, 1983. "Price Movements and Price Discovery in Futures and Cash Markets," The Review of Economics and Statistics, MIT Press, vol. 65(2), pages 289-297, May.
    5. Clive Granger & Jin‐Lung Lin, 1994. "Using The Mutual Information Coefficient To Identify Lags In Nonlinear Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 15(4), pages 371-384, July.
    6. Param Silvapulle & Imad A. Moosa, 1999. "The relationship between spot and futures prices: Evidence from the crude oil market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 19(2), pages 175-193, April.
    7. GIOT, Pierre, 2003. "The information content of implied volatility indexes for forecasting volatility and market risk," LIDAM Discussion Papers CORE 2003027, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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