Sinha, Pankaj and Mathur, Kritika (2013): A study on the Price Behavior of Base Metals traded in India.
Preview |
PDF
MPRA_paper_47028.pdf Download (844kB) | Preview |
Abstract
This study looks into the price behavior of five base metals – aluminum, copper, zinc, lead and nickel traded on Multi Commodity Exchange (MCX), using near month futures contracts and spot contracts for the period from November 2007 to January 2013. To assess the impact of the recent Global Financial Crisis on trading of base metals, the price volatility of the base metals has been examined using GARCH models. The paper also studies the effect of implied volatility of equity market, measured by India VIX on the price volatility of the five base metals. The findings of the study suggest that there is presence of short term persistence in price volatility of the metals, and the daily price volatility of base metals is influenced by the Global Financial Crisis. The implied volatility in equity market is also found to affect the price volatility of the metals. Thus, the paper gives important evidence in support of the introduction of option contracts on base metals in Indian Commodity Markets, since option contracts are priced considering the price volatility of the underlying asset.
Item Type: | MPRA Paper |
---|---|
Original Title: | A study on the Price Behavior of Base Metals traded in India |
Language: | English |
Keywords: | Option contracts, Base metals, Volatility, Futures contract, VIX |
Subjects: | G - Financial Economics > G0 - General > G01 - Financial Crises L - Industrial Organization > L6 - Industry Studies: Manufacturing > L61 - Metals and Metal Products ; Cement ; Glass ; Ceramics Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q0 - General |
Item ID: | 47028 |
Depositing User: | Pankaj Sinha |
Date Deposited: | 16 May 2013 06:26 |
Last Modified: | 28 Sep 2019 01:17 |
References: | Akgiray, V., Booth G.G., Hatem J.J., and Mustafa C. (1991).Conditional Dependence in Precious Metal Prices, The Financial Review, Vol. 26, Issue 3, pp.367- 386. Arouri, M.E.H, Hammoudeh S., Lahiani A., and Nguyen D.K., (2012). Long memory and structural breaks in modeling the return and volatility dynamics of precious metals, The Quarterly Review of Economics and Finance, Vol. 52, Issue 2, pp.207-218. Bagchi, D. (2012). Cross-sectional analysis of emerging market volatility index (India VIX) with portfolio returns, International Journal of Emerging Markets, Vol. 7, Issue 4, pp.383 – 396. Bernard, J.T., Khalaf, L., Kichian, M. and Mcmahon, S. (2008). Forecasting commodity prices: GARCH, jumps, and mean reversion. Journal of Forecasting, Vol. 27, pp.279–291. Bollerslev, T. (1986). Generalized autoregressive conditional Heteroskedasticity, Journalof Econometrics, Vol. 31, Issue 3, 307-327. Bracker, K. and Smith, K. L. (1999).Detecting and modeling changing volatility in the copper futures market, Journal of Futures Markets, Vol. 19, pp.79–100. Brunetti, C. and Gilbert C.L. (1995). Metals price volatility, 1972-95, Resources Policy, Vol. 21, Issue 4, pp.237-254. Cochran, S.J., Mansur I., and Odusami B. (2012). Volatility persistence in metal returns: A FIGARCH approach, Journal of Economics and Business, Vol. 64, pp.287-305. Cochran, S.J., Mansur I., and Odusami B. (2011). Threshold Effects of the Term Premium in Metal Returns and Return Volatilities: A Double Threshold-FIGARCH Approach, Working Paper, Villanova University. Connolly, R., Stivers C., and Sun L. (2005). Stock Market Uncertainty and the Stock-Bond Return Relation, The Journal of Financial and Quantitative Analysis, Vol. 40, No. 1, pp. 161-194. Copeland, M.M., and Copeland T.E.(1999).Market Timing: Style and Size Rotation Using the VIX, Financial Analysts Journal , Vol. 55, No.2, pp. 73-81. Doran, J. S., Banerjee, P., and Peterson, D. R. (2007). Implied Volatility and Future Portfolio Returns, Journal of Banking and Finance, Vol. 31 Fleming, J., Ostdiek, B. and Whaley, R. E. (1995). Predicting stock market volatility: A new measure, Journal of Futures Market, Vol. 15, pp. 265–302. Hammoudeh, S., and Yuan Y. (2008). Metal volatility in presence of oil and interest rate shocks, Energy Economics, Vol. 20, Issue 2, pp.606-620. Ismaila, M.T., Abdullahb N.A. and Karim S.A.A. (2012). Impact of Global Financial Crisis on Precious Metals Returns: An Application of ARCH and GARCH Methods, Working Paper, University of Technology Petronas, Malaysia. Jin, H.J., and Frechette D.L.(2004). Fractional Integration in Agricultural Futures Price Volatilities, American Journal of Agricultural Economics , Vol. 86, No. 2, pp.432-443. Kang, S.H., Kang S.M., and Yoon S.M. (2009).Forecasting volatility of crude oil markets, Energy Economics, Volume 31, Issue 1, pp. 119-125. Khalifa, A. A. A., Miao, H. and Ramchander, S. (2011). Return distributions and volatility forecasting in metal futures markets: Evidence from gold, silver, and copper. Journal of Futures Markets, Vol. 31, Issue 1, pp.55–80. McKenzie, M., Mitchell H., Brooks R., and Faff R. (2001). Power ARCH modeling of commodity futures data on the London Metal Exchange, The European Journal of Finance, Vol. 7, Issue 1, pp.22-38. McMillan, D.G., and Speight A.E.H. (2001). Non-ferrous metals price volatility: a component analysis, Resources Policy, Vol. 27, Issue 3, pp.199-207. Morales, L. and Callaghan B.A.O, (2011). Comparative analysis on the effects of the Asian and global financial crises on precious metal markets, Research in International Business and Finance, Vol. 25, Issue 2, pp.203-227. Pindyck, Robert S. (2004). Volatility in Natural Gas and Oil Markets, The Journal of Energy and Development. Vol. 30, Issue 1, pp. 1-20. Reserve Bank of India (2005).Report of the Working GrouponWarehouse Receipts and Commodity Futures, Reserve Bank of India, Mumbai. Sadorsky, P. (2006). Modeling and forecasting petroleum futures volatility, Energy Economics, Vol. 28, Issue 4, pp. 467-488. Tully, E., and Lucey B.M. (2007). A power GARCH examination of the gold market, Research in International Business and Finance, Vol. 21, Issue 2, June 2007, pp.316-325. Watkins, C. and McAleer M. (2006). Pricing of non-ferrous metals futures on the London Metal Exchange, Applied Financial Economics, Vol. 16, Issue 12, pp.853-880. Wei, Y., Wang Y., and Huang D. (2010).Forecasting crude oil market volatility: Further evidence using GARCH-class models, Energy Economics, Vol. 32, Issue 6, November 2010, pp.1477-1484. Yang, S.R. and Brorsen B.W., (1992). Nonlinear Dynamics of Daily Cash Prices, American journal of Agricultural Economics, Vol. 74, No. 3, pp.706-715. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/47028 |