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Speculative Efficiency on the London Metal Exchange

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  • Moore, Michael J
  • Cullen, Ursula

Abstract

This paper examines the proposition that forward rates are unbiased predictors of future spot rates for base metal prices on the London Metal Exchange. The analysis is complicated by the fact that the data are sampled more frequently than the life of the forward contracts. Though the implications of this for stationary inference are well known, it has not yet been addressed within the context of unit root econometrics. This is explored and an estimation and testing strategy is proposed. The results are surprisingly favorable to the unbiasedness proposition. Copyright 1995 by Blackwell Publishers Ltd and The Victoria University of Manchester

Suggested Citation

  • 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.
    • Handle: RePEc:bla:manch2:v:63:y:1995:i:3:p:235-56
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    Citations

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    Cited by:

    1. Barry A. Goss & S. Gulay Avsar, 2013. "Simultaneity, Forecasting and Profits in London Copper Futures," Australian Economic Papers, Wiley Blackwell, vol. 52(2), pages 79-96, June.
    2. An-Sing Chen & James Wuh Lin, 2004. "Cointegration and detectable linear and nonlinear causality: analysis using the London Metal Exchange lead contract," Applied Economics, Taylor & Francis Journals, vol. 36(11), pages 1157-1167.
    3. Jean-Thomas Bernard & Lynda Khalaf & Maral Kichian & Sebastien Mcmahon, 2008. "Forecasting commodity prices: GARCH, jumps, and mean reversion," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(4), pages 279-291.
    4. Behmiri, Niaz Bashiri & Manera, Matteo, 2015. "The role of outliers and oil price shocks on volatility of metal prices," Resources Policy, Elsevier, vol. 46(P2), pages 139-150.
    5. Ulusoy, Veysel & Onbirler, Özgür Ünal, 2017. "Marginal speculation and hedging in commodity markets," Finance Research Letters, Elsevier, vol. 23(C), pages 269-282.
    6. Maria Stückler, 2002. "Handel auf Terminkontraktmärkten," Department of Economics Working Papers wuwp080, Vienna University of Economics and Business, Department of Economics.
    7. Manolis Kavussanos & Ilias Visvikis & David Menachof, 2005. "The Unbiasedness Hypothesis in the Freight Forward Market: Evidence from Cointegration Tests," Review of Derivatives Research, Springer, vol. 7(3), pages 241-266, October.
    8. Richard Heaney, 1998. "A Test of the cost‐of‐carry relationship using the London Metal Exchange lead contract," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 18(2), pages 177-200, April.
    9. Clinton Watkins & Michael McAleer, 2003. "Pricing of Non-ferrous Metals Futures on the London Metal Exchange," CIRJE F-Series CIRJE-F-213, CIRJE, Faculty of Economics, University of Tokyo.
    10. Stückler, Maria, 2002. "Handel auf Terminkontraktmärkten," Department of Economics Working Paper Series 80, WU Vienna University of Economics and Business.
    11. Heaney, Richard, 2002. "Does knowledge of the cost of carry model improve commodity futures price forecasting ability?: A case study using the London Metal Exchange lead contract," International Journal of Forecasting, Elsevier, vol. 18(1), pages 45-65.
    12. Gong, Xu & Xu, Jun & Liu, Tangyong & Zhou, Zicheng, 2022. "Dynamic volatility connectedness between industrial metal markets," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    13. 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.
    14. Moore, Michael J. & Copeland, Laurence S., 1995. "A comparison of Johansen and Phillips-Hansen cointegration tests of forward market efficiency Baillie and Bollerslev revisited," Economics Letters, Elsevier, vol. 47(2), pages 131-135, February.
    15. Dimitris Kenourgios & Aristeidis Samitas, 2005. "Testing Efficiency Of The Copper Futures Market: New Evidence From London Metal Exchange," Finance 0512010, University Library of Munich, Germany.
    16. Alper Kara & Dilem Yildirim & G. Ipek Tunc, 2023. "Market efficiency in non-renewable resource markets: evidence from stationarity tests with structural changes," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 36(2), pages 279-290, June.
    17. Alper Kara & Dilem Yıldırım & Gül İpek Tunç, 2021. "Market Efficiency In Non-Renewable Resource Markets: Evidence From Stationarity Tests With Structural Changes," ERC Working Papers 2103, ERC - Economic Research Center, Middle East Technical University, revised Apr 2021.
    18. Watkins, Clinton & McAleer, Michael, 2002. "Cointegration analysis of metals futures," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 59(1), pages 207-221.
    19. Triantafyllopoulos, Kostas, 2006. "Multivariate discount weighted regression and local level models," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3702-3720, August.

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