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Volatility In Copper Prices In India

Author

Listed:
  • NIDHI CHOUDHARY

    () (Faculty of Management Studies, WISDOM, Banasthali Vidyapith, India)

  • GIRISH K. NAIR

    () (International Hospitality Management, Stenden University Qatar, India)

  • HARSH PUROHIT

    () (WISDOM, Faculty of Management Studies, Banasthali Vidyapith, India)

Abstract

Copper is more popularly known as “Dr. Copper” especially in developed nations, for it is considered as the pulse of the economy. The metal is considered as most erudite to forecast the level of economic activities. But how much is it relevant for Indian Economy? The proposed study explores this face of the situation and considers if in India copper is capable of influencing the economic activities or if the vice versa situation exists. The study uses the nonlinear cointegration and causality tests to understand the direction of causality in volatility of copper prices in India. The volatility in copper prices are studied with respect to movement in Sensex which is considered as the barometer of capital market in India, movement in INR/USD exchange rate which is a major factor behind volatility in copper prices as per MCX and movement in International Copper prices.

Suggested Citation

  • Nidhi Choudhary & Girish K. Nair & Harsh Purohit, 2015. "Volatility In Copper Prices In India," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 10(02), pages 1-26, December.
  • Handle: RePEc:wsi:afexxx:v:10:y:2015:i:02:n:s2010495215500086
    DOI: 10.1142/S2010495215500086
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    as
    1. Michael McKenzie & Heather Mitchell & Robert Brooks & Robert Faff, 2001. "Power ARCH modelling of commodity futures data on the London Metal Exchange," The European Journal of Finance, Taylor & Francis Journals, vol. 7(1), pages 22-38.
    2. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
    3. Hooi Hooi Lean & Michael McAleer & Wing-Keung Wong, 2010. "Market Efficiency of Oil Spot and Futures: A Stochastic Dominance Approach," CIRJE F-Series CIRJE-F-705, CIRJE, Faculty of Economics, University of Tokyo.
    4. Lo, Andrew W. & MacKinlay, A. Craig, 1989. "The size and power of the variance ratio test in finite samples : A Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 40(2), pages 203-238, February.
    5. Pravakar Sahoo & Rajiv Kumar, 2008. "Impact of Proposed Commodity Transaction Tax," Working Papers id:1593, eSocialSciences.
    6. Apostolos Serletis, 2007. "A Cointegration Analysis of Petroleum Futures Prices," World Scientific Book Chapters, in: Quantitative And Empirical Analysis Of Energy Markets, chapter 5, pages 46-54, World Scientific Publishing Co. Pte. Ltd..
    7. Sébastien Laurent & Luc Bauwens & Jeroen V. K. Rombouts, 2006. "Multivariate GARCH models: a survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(1), pages 79-109.
    8. William J. Crowder & Anas Hamed, 1993. "A cointegration test for oil futures market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(8), pages 933-941, December.
    9. Ahking, Francis W., 2002. "Model mis-specification and Johansen's co-integration analysis: an application to the US money demand," Journal of Macroeconomics, Elsevier, vol. 24(1), pages 51-66, March.
    10. Lean, H.H. & McAleer, M.J. & Wong, W.-K., 2010. "Investor preferences for oil spot and futures based on mean-variance and stochastic dominance," Econometric Institute Research Papers EI 2010-37, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    12. Jing Quan, 1992. "Two‐step testing procedure for price discovery role of futures prices," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 12(2), pages 139-149, April.
    13. Clinton Watkins & Michael McAleer, 2006. "Pricing of non-ferrous metals futures on the London Metal Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 16(12), pages 853-880.
    14. Clinton Watkins & Michael McAleer, 2004. "Econometric modelling of non‐ferrous metal prices," Journal of Economic Surveys, Wiley Blackwell, vol. 18(5), pages 651-701, December.
    15. Agbeyegbe, Terence D, 1992. "Common Stochastic Trends: Evidence from the London Metal Exchange," Bulletin of Economic Research, Wiley Blackwell, vol. 44(2), pages 141-151, April.
    16. 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.
    17. David A. Bessler & Jon A. Brandt, 1982. "Causality Tests in Livestock Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 64(1), pages 140-144.
    18. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    19. Figuerola-Ferretti, Isabel & Gonzalo, Jesús, 2010. "Modelling and measuring price discovery in commodity markets," Journal of Econometrics, Elsevier, vol. 158(1), pages 95-107, September.
    20. Michael McAleer, 2014. "Asymmetry and Leverage in Conditional Volatility Models," Econometrics, MDPI, Open Access Journal, vol. 2(3), pages 1-6, September.
    21. Wee Ching Pok & Sunil Poshakwale, 2004. "The impact of the introduction of futures contracts on the spot market volatility: the case of Kuala Lumpur Stock Exchange," Applied Financial Economics, Taylor & Francis Journals, vol. 14(2), pages 143-154.
    22. Maslyuk, Svetlana & Smyth, Russell, 2008. "Unit root properties of crude oil spot and futures prices," Energy Policy, Elsevier, vol. 36(7), pages 2591-2600, July.
    23. Kasparis, Ioannis, 2008. "Detection Of Functional Form Misspecification In Cointegrating Relations," Econometric Theory, Cambridge University Press, vol. 24(5), pages 1373-1403, October.
    24. 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.
    25. Charles M. Oellermann & B. Wade Brorsen & Paul L. Farris, 1989. "Price discovery for feeder cattle," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 9(2), pages 113-121, April.
    26. Hoque, Hafiz A.A.B. & Kim, Jae H. & Pyun, Chong Soo, 2007. "A comparison of variance ratio tests of random walk: A case of Asian emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 16(4), pages 488-502.
    27. Diks, Cees & Panchenko, Valentyn, 2006. "A new statistic and practical guidelines for nonparametric Granger causality testing," Journal of Economic Dynamics and Control, Elsevier, vol. 30(9-10), pages 1647-1669.
    28. Man, K. S., 2003. "Long memory time series and short term forecasts," International Journal of Forecasting, Elsevier, vol. 19(3), pages 477-491.
    29. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-234, April.
    30. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    31. Tim Krehbiel & Lee C. Adkins, 1993. "Cointegration tests of the unbiased expectations hypothesis in metals markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(7), pages 753-763, October.
    32. Hong, Seung Hyun & Phillips, Peter C. B., 2010. "Testing Linearity in Cointegrating Relations With an Application to Purchasing Power Parity," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 96-114.
    33. Hiemstra, Craig & Jones, Jonathan D, 1994. "Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation," Journal of Finance, American Finance Association, vol. 49(5), pages 1639-1664, December.
    34. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    35. 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.
    36. Kon S. Lai & Michael Lai, 1991. "A cointegration test for market efficiency," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 11(5), pages 567-575, October.
    37. Ahmed A. A. Khalifa & Hong Miao & Sanjay Ramchander, 2011. "Return distributions and volatility forecasting in metal futures markets: Evidence from gold, silver, and copper," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 31(1), pages 55-80, January.
    38. Ira G. Kawaller & Paul D. Koch & Timothy W. Koch, 1988. "The relationship between the S&P 500 index and S&P 500 index futures prices," Economic Review, Federal Reserve Bank of Atlanta, issue May, pages 2-10.
    39. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Khaled Mokni, 2018. "Empirical Analysis Of The Relationship Between Oil And Precious Metals Markets," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(01), pages 1-20, March.

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