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Price discovery in Indian commodity futures market: an empirical exercise

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  • Kushankur Dey
  • Debasish Maitra

Abstract

The Indian commodity futures market is of recent introduction, albeit, it was in existence in a crude form a few centuries ago. After the opening of national level exchanges post 2002, the landscape of this market has witnessed phenomenal growth in terms of products on offer, trade volume, participation, and spatial distribution. In this paper, pepper has been selected as a commodity to explore the price discovery process through a series of tests, namely, Granger causality, co-integration, error correction with weak exogeneity, and forecast error variance decomposition. This paper sheds some light on existing methods of price discovery mechanism through some insightful inferences that unidirectional causality from futures to spot prices has been observed in the Indian pepper futures market. However, the adjustment of innovations or shocks in the futures market is relatively faster than that of the spot market.

Suggested Citation

  • Kushankur Dey & Debasish Maitra, 2012. "Price discovery in Indian commodity futures market: an empirical exercise," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 5(1), pages 68-87.
  • Handle: RePEc:ids:ijtrgm:v:5:y:2012:i:1:p:68-87
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    1. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    2. Yang, Jian & Leatham, David J., 1999. "Price Discovery in Wheat Futures Markets," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(02), pages 359-370, August.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Stoll, Hans R., 2003. "Market microstructure," Handbook of the Economics of Finance,in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, edition 1, volume 1, chapter 9, pages 553-604 Elsevier.
    5. Qiaoling Li & Jiazhu Pan, 2009. "Determining the number of factors in a multivariate error correction--volatility factor model," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 45-61, March.
    6. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    7. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    8. Hjelm, Goran & Johansson, Martin W., 2005. "A Monte Carlo study on the pitfalls in determining deterministic components in cointegrating models," Journal of Macroeconomics, Elsevier, vol. 27(4), pages 691-703, December.
    9. Abdullah, Dewan A & Rangazas, Peter C, 1988. "Money and the Business Cycle: Another Look," The Review of Economics and Statistics, MIT Press, vol. 70(4), pages 680-685, November.
    10. Anne E. Peck, 1976. "Futures Markets, Supply Response, and Price Stability," The Quarterly Journal of Economics, Oxford University Press, vol. 90(3), pages 407-423.
    11. Phillips, P C B, 1991. "Optimal Inference in Cointegrated Systems," Econometrica, Econometric Society, vol. 59(2), pages 283-306, March.
    12. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    13. Sohbet Karbuz & Adusei Jumah, 1995. "Cointegration and commodity arbitrage," Agribusiness, John Wiley & Sons, Ltd., vol. 11(3), pages 235-243.
    14. Mattos, Fabio & Garcia, Philip, 2004. "Price Discovery In Thinly Traded Markets: Cash And Futures Relationships In Brazilian Agricultural Futures Markets," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19019, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
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