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Pricing of non-ferrous metals futures on the London Metal Exchange

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  • Clinton Watkins
  • Michael McAleer

Abstract

The London Metal Exchange (LME) is the most important centre for spot and futures trading in the main industrially-used non-ferrous metals. In this study, data on 3-month futures contracts for aluminium, aluminium alloy, copper, lead, nickel, tin, and zinc are analysed. The risk premium hypothesis and the cost-of-carry model are the standard theoretical models for pricing futures contracts, but these two models have rarely been estimated within a unified framework for metals futures. Single equation versions of the risk premium hypothesis and the cost-of-carry model are nested within a more general model. If the spot price, futures price, interest rate, and stock level variables contain stochastic trends, long run versions of the general model can be estimated within a cointegration framework. Various long run pricing models are estimated using daily LME price data for the period 1 February 1986 to 30 September 1998. Likelihood ratio tests are used to test restrictions on the general model to examine the validity of alternative nested specifications.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:apfiec:v:16:y:2006:i:12:p:853-880 DOI: 10.1080/09603100600756514
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    1. Phillips, Peter C B & Xiao, Zhijie, 1998. " A Primer on Unit Root Testing," Journal of Economic Surveys, Wiley Blackwell, vol. 12(5), pages 423-469, December.
    2. Park, Joon Y. & Phillips, Peter C.B., 1989. "Statistical Inference in Regressions with Integrated Processes: Part 2," Econometric Theory, Cambridge University Press, vol. 5(01), pages 95-131, April.
    3. Hsieh, David A & Kulatilaka, Nalin, 1982. " Rational Expectations and Risk Premia in Forward Markets: Primary Metals at the London Metals Exchange," Journal of Finance, American Finance Association, vol. 37(5), pages 1199-1207, December.
    4. Sephton, Peter S. & Cochrane, Donald K., 1990. "A note on the efficiency of the London metal exchange," Economics Letters, Elsevier, vol. 33(4), pages 341-345, August.
    5. Brunetti, Celso & Gilbert, Christopher L., 1995. "Metals price volatility, 1972-1995," Resources Policy, Elsevier, vol. 21(4), pages 237-254, December.
    6. Eric Zivot, 1998. "Cointegration and Forward and Spot Exchange Rate Regressions," Econometrics 9812001, EconWPA.
    7. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    8. Larson, Donald Frederick & DEC, 1994. "Copper and the negative price of storage," Policy Research Working Paper Series 1282, The World Bank.
    9. Zivot, Eric, 2000. "Cointegration and forward and spot exchange rate regressions," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 785-812, December.
    10. Ng, Victor K & Pirrong, Stephen Craig, 1994. "Fundamentals and Volatility: Storage, Spreads, and the Dynamics of Metals Prices," The Journal of Business, University of Chicago Press, vol. 67(2), pages 203-230, April.
    11. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    12. John Sequeira & Michael McAleer, 2000. "A market-augmented model for SIMEX Brent crude oil futures contracts," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 543-552.
    13. John Sequeira & MICHAEL McALEER, 2000. "Testing the risk premium and cost-of-carry hypotheses for currency futures contracts," Applied Financial Economics, Taylor & Francis Journals, vol. 10(3), pages 277-289.
    14. Moore, Michael J & Cullen, Ursula, 1995. "Speculative Efficiency on the London Metal Exchange," The Manchester School of Economic & Social Studies, University of Manchester, vol. 63(3), pages 235-256, September.
    15. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    16. Hall, S G, 1991. "An Application of the Stochastic GARCH-in-Mean Model to Risk Premia in the London Metal Exchange," The Manchester School of Economic & Social Studies, University of Manchester, vol. 59(0), pages 57-71, Supplemen.
    17. Chow, Ying-Foon & McAleer, Michael & Sequeira, John M, 2000. " Pricing of Forward and Futures Contracts," Journal of Economic Surveys, Wiley Blackwell, vol. 14(2), pages 215-253, April.
    18. Fama, Eugene F & French, Kenneth R, 1988. " Business Cycles and the Behavior of Metals Prices," Journal of Finance, American Finance Association, vol. 43(5), pages 1075-1093, December.
    19. MacDonald, Ronald & Taylor, Mark P, 1988. "Metals Prices, Efficiency and Cointegration: Some Evidence from the London Metal Exchange," Bulletin of Economic Research, Wiley Blackwell, vol. 40(3), pages 235-239, June.
    20. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    21. 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.
    22. MacDonald, Ronald & Taylor, Mark P, 1988. "Testing Rational Expectations and Efficiency in the London Metal Exchange," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 50(1), pages 41-52, February.
    23. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    24. Brenner, Robin J. & Kroner, Kenneth F., 1995. "Arbitrage, Cointegration, and Testing the Unbiasedness Hypothesis in Financial Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(01), pages 23-42, March.
    25. Hardouvelis, Gikas A & Kim, Dongcheol, 1995. "Margin Requirements, Price Fluctuations, and Market Participation in Metal Futures," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 27(3), pages 659-671, August.
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    Cited by:

    1. Arouri, Mohamed El Hedi & Hammoudeh, Shawkat & Lahiani, Amine & Nguyen, Duc Khuong, 2013. "On the short- and long-run efficiency of energy and precious metal markets," Energy Economics, Elsevier, pages 832-844.
    2. 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., pages 1-26.
    3. Stepanek, Christian & Walter, Matthias & Rathgeber, Andreas, 2013. "Is the convenience yield a good indicator of a commodity's supply risk?," Resources Policy, Elsevier, vol. 38(3), pages 395-405.
    4. Geman, Hélyette & Smith, William O., 2013. "Theory of storage, inventory and volatility in the LME base metals," Resources Policy, Elsevier, vol. 38(1), pages 18-28.
    5. Nicholas Apergis & Christina Christou & James E. Payne, 2014. "Precious metal markets, stock markets and the macroeconomic environment: a FAVAR model approach," Applied Financial Economics, Taylor & Francis Journals, pages 691-703.
    6. Etoundi Atenga, Eric Martial, 2014. "Asymmetric shocks, persistence in volatility and spillover effects between non ferrous metals on the LME spot market," MPRA Paper 61017, University Library of Munich, Germany.
    7. Sinha, Pankaj & Mathur, Kritika, 2013. "A study on the Price Behavior of Base Metals traded in India," MPRA Paper 47028, University Library of Munich, Germany.
    8. Omura, Akihiro & Todorova, Neda & Li, Bin & Chung, Richard, 2015. "Convenience yield and inventory accessibility: Impact of regional market conditions," Resources Policy, Elsevier, vol. 44(C), pages 1-11.
    9. Cummins, Mark & Dowling, Michael & Lucey, Brian M., 2015. "Behavioral influences in non-ferrous metals prices," Resources Policy, Elsevier, vol. 45(C), pages 9-22.
    10. Todorova, Neda & Worthington, Andrew & Souček, Michael, 2014. "Realized volatility spillovers in the non-ferrous metal futures market," Resources Policy, Elsevier, vol. 39(C), pages 21-31.
    11. Watkins, Clinton & McAleer, Michael, 2008. "How has volatility in metals markets changed?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 237-249.
    12. Todorova, Neda, 2015. "The course of realized volatility in the LME non-ferrous metal market," Economic Modelling, Elsevier, vol. 51(C), pages 1-12.
    13. Fernandez, Viviana, 2017. "A historical perspective of the informational content of commodity futures," Resources Policy, Elsevier, vol. 51(C), pages 135-150.
    14. Mark Cummins & Brian M. Lucey & Michael M. Dowling, 2014. "Behavioral Influences in Non-Ferrous Metals Prices," The Institute for International Integration Studies Discussion Paper Series iiisdp459, IIIS.
    15. Morales, Lucía & Andreosso-O'Callaghan, Bernadette, 2011. "Comparative analysis on the effects of the Asian and global financial crises on precious metal markets," Research in International Business and Finance, Elsevier, vol. 25(2), pages 203-227, June.
    16. Sanidas, Elias, 2014. "Four harmonic cycles explain and predict commodity currencies' wide long term fluctuations," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 135-151.

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