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Global Financial Crisis and Price Risk Management in Gold Futures Market- Evidences from Indian & US Markets

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Listed:
  • Narinder Pal Singh
  • Archana Singh

Abstract

Over the globe, gold is one of the most traded commodities. Due to its gobal demand, gold is traded in both spot and futures market. Price risk management is a fundamental but vital function of futures market. To effectively discharge this function, futures market has to be efficient. Thus, it is important to analyze efficiency of futures market. None of the studies in literature analyses price risk management role of gold futures in India and US with reference to global financial crisis of 2008-09. Thus, this study aims at investigating the gold futures role in managing price risk related to gold spot market before and after the crisis in Indian and US markets. The results of Johansen’s cointegration test indicate that the gold spot and futures markets are cointegrated in both the sub-periods in both India and US. Granger causality test results signifies that gold futures play an important role in price discovery in both Indian and US markets, with some feedback from spot market at Multi Commodity Exchange (MCX), India . However, the price discovery role of gold futures markets has strengthened after the crisis in both the markets. Thus, we conclude that gold futures market performs price risk management function in the pre and the post–crisis periods at Multi Commodity Exchange (MCX), India and New York Merchantile Exchange (NYMEX) Comex, US.

Suggested Citation

  • Narinder Pal Singh & Archana Singh, 2018. "Global Financial Crisis and Price Risk Management in Gold Futures Market- Evidences from Indian & US Markets," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 21(68), pages 111-120, June.
    • Handle: RePEc:rej:journl:v:21:y:2018:i:68:p:111-120
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    References listed on IDEAS

    as
    1. Udo Broll & Peter Welzel & Kit Wong, 2015. "Futures hedging with basis risk and expectation dependence," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 62(3), pages 213-221, September.
    2. He, Dequan & Holt, Matthew T., 2004. "Efficiency Of Forest Commodity Futures Markets," 2004 Annual meeting, August 1-4, Denver, CO 20344, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Jabir Ali & Kriti Bardhan Gupta, 2011. "Efficiency in agricultural commodity futures markets in India," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 162-178, August.
    4. Andrew McKenzie & Matthew Holt, 2002. "Market efficiency in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1519-1532.
    5. H. Holly Wang & Bingfan Ke, 2005. "Efficiency tests of agricultural commodity futures markets in China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 49(2), pages 125-141, June.
    6. repec:rej:journl:v:16:y:2013:i:47:p:211-228 is not listed on IDEAS
    7. Pantisa Pavabutr & Piyamas Chaihetphon, 2010. "Price discovery in the Indian gold futures market," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 34(4), pages 455-467, October.
    8. Easwaran, R. Salvadi & Ramasundaram, P., 2008. "Whether commodity futures market in agriculture is efficient in price discovery? - An econometric analysis," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 21(Conferenc).
    9. Ted C. Schroeder & Barry K. Goodwin, 1991. "Price discovery and cointegration for live hogs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(6), pages 685-696, December.
    10. Anthony Mananyi & John J. Struthers, 1997. "Cocoa market efficiency: a cointegration approach," Journal of Economic Studies, Emerald Group Publishing, vol. 24(3), pages 141-151, September.
    11. Pravakar Sahoo & Rajiv Kumar, 2009. "Efficiency and Futures Trading-Price Nexus in Indian Commodity Futures Markets," Global Business Review, International Management Institute, vol. 10(2), pages 187-201, July.
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    More about this item

    Keywords

    risk management; efficiency; Gold Futures; Global Financial Crisis; cointegration;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • G01 - Financial Economics - - General - - - Financial Crises
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market

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