IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpfi/0512010.html
   My bibliography  Save this paper

Testing Efficiency Of The Copper Futures Market: New Evidence From London Metal Exchange

Author

Listed:
  • Dimitris Kenourgios

    (Athens University of economics & Business)

  • Aristeidis Samitas

    (University of Aegean)

Abstract

This paper investigates the joint hypothesis of market efficiency and unbiasedness of futures prices for the copper futures contract traded on the London Metal Exchange. This contract is of particular importance given the usage and properties of the underlying commodity and its highest share of trading during the last decade, in an exchange which is the centre of the world’s trading in copper. The data contain prices from two different copper futures contracts (three and fifteen months maturity) covering the decade of 1990s, a very volatile and turbulent period for the copper market worldwide. Unlike previous studies, it tests for both long-run and short-run efficiency using cointegration and error correction model. Our results show that the market is not efficient and do not provide unbiased estimates of future copper spot prices, which has important implications for the users of this market.

Suggested Citation

  • 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.
  • Handle: RePEc:wpa:wuwpfi:0512010
    Note: Type of Document - pdf; pages: 18
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/fin/papers/0512/0512010.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hall, S G, 1991. "The Effect of Varying Length VAR Models on the Maximum Likelihood Estimates of Cointegrating Vectors," Scottish Journal of Political Economy, Scottish Economic Society, vol. 38(4), pages 317-323, November.
    2. Hansen, Lars Peter & Hodrick, Robert J, 1980. "Forward Exchange Rates as Optimal Predictors of Future Spot Rates: An Econometric Analysis," Journal of Political Economy, University of Chicago Press, vol. 88(5), pages 829-853, October.
    3. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    4. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    5. 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.
    6. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    7. 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.
    8. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    9. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    10. Bilson, John F O, 1981. "The "Speculative Efficiency" Hypothesis," The Journal of Business, University of Chicago Press, vol. 54(3), pages 435-451, July.
    11. Phillips, P C B, 1987. "Time Series Regression with a Unit Root," Econometrica, Econometric Society, vol. 55(2), pages 277-301, March.
    12. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    13. 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.
    14. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    15. Craig S. Hakkio & Mark Rush, 1987. "Market efficiency and cointegration," Research Working Paper 87-05, Federal Reserve Bank of Kansas City.
    16. James G. MacKinnon, 1990. "Critical Values for Cointegration Tests," Working Paper 1227, Economics Department, Queen's University.
    17. Fama, Eugene F & French, Kenneth R, 1987. "Commodity Futures Prices: Some Evidence on Forecast Power, Premiums,and the Theory of Storage," The Journal of Business, University of Chicago Press, vol. 60(1), pages 55-73, January.
    18. Liu, Peter C. & Maddala, G. S., 1992. "Rationality of survey data and tests for market efficiency in the foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 11(4), pages 366-381, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zou, Shaohui & Zhang, Tian, 2020. "Multifractal detrended cross-correlation analysis of the relation between price and volume in European carbon futures markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dimitris Kenourgios, 2005. "Testing Efficiency And The Unbiasedness Hypothesis Of The Emerging Greek Futures Market," Finance 0512015, University Library of Munich, Germany.
    2. Abdul Qayyum, 2000. "Demand for Real Money Balances by the Business Sector: An Econometric Investigation," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 39(4), pages 857-873.
    3. Tim Bollerslev & Robert J. Hodrick, 1992. "Financial Market Efficiency Tests," NBER Working Papers 4108, National Bureau of Economic Research, Inc.
    4. Stefka Slavova, 2003. "Money demand during hyperinflation and stabilization: Bulgaria, 1991-2000," Applied Economics, Taylor & Francis Journals, vol. 35(11), pages 1303-1316.
    5. Efthymios Tsionas, 2001. "Regional Convergence and Common, Stochastic Long-run Trends: A Re-examination of the US Regional Data," Regional Studies, Taylor & Francis Journals, vol. 35(8), pages 689-696.
    6. Dimitris Kenourgios, 2005. "Price Discovery In The Athens Derivatives Exchange: Evidence For The Ftse/Ase-20 Futures Market," Finance 0512014, University Library of Munich, Germany.
    7. Macide Cicek, 2014. "A Cointegration Test for Turkish Foreign Exchange Market Efficiency," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 4(4), pages 451-471, April.
    8. Isabel Cortés-Jiménez & Manuel Artís, 2005. "The role of the tourism sector in economic development - Lessons from the Spanish experience," ERSA conference papers ersa05p488, European Regional Science Association.
    9. M. T. Alguacil & V. Orts, 2003. "Inward Foreign Direct Investment and Imports in Spain," International Economic Journal, Taylor & Francis Journals, vol. 17(3), pages 19-38.
    10. Kremers, Jeroen J M & Ericsson, Neil R & Dolado, Juan J, 1992. "The Power of Cointegration Tests," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 325-348, August.
    11. repec:ebl:ecbull:v:15:y:2005:i:19:p:1-10 is not listed on IDEAS
    12. Mcgibany, James M. & Nourzad, Farrokh, 1995. "Exchange rate volatility and the demand for money in the U.S," International Review of Economics & Finance, Elsevier, vol. 4(4), pages 411-425.
    13. 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.
    14. Chee-Keong Choong & Wai-Ching Poon & Muzafar Shah Habibullah & Zulkornain Yusop, 2003. "The Validity of PPP Theory in ASEAN-Five: Another Look on Cointegration and Panel Data Analysis," International Trade 0309018, University Library of Munich, Germany.
    15. Andrew McKenzie & Matthew Holt, 2002. "Market efficiency in agricultural futures markets," Applied Economics, Taylor & Francis Journals, vol. 34(12), pages 1519-1532.
    16. Baker, Mindy Lyn, 2009. "Three essays concerning agriculture and energy," ISU General Staff Papers 200901010800001849, Iowa State University, Department of Economics.
    17. Chulho Jung & K. Doroodian & Robert Albarano, 1998. "The unbiased forward rate hypothesis: a re-examination," Applied Financial Economics, Taylor & Francis Journals, vol. 8(6), pages 567-575.
    18. E. Schirru, 1996. "Modelli di determinazione del tasso di cambio: un'analisi di cointegrazione," Working Paper CRENoS 199610, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    19. Dilip Dutta & Nasiruddin Ahmed, 2004. "An aggregate import demand function for India: a cointegration analysis," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 607-613.
    20. repec:nrb:journl:v:21:y:2009:p:5 is not listed on IDEAS
    21. T. P. Koirala Ph.D., 2009. "Long-run Relationships of Macroeconomic Variables in Nepal: A VAR Approach," NRB Economic Review, Nepal Rastra Bank, Research Department, vol. 21, pages 99-120, April.
    22. Christos Kollias & Suzanna-Maria Paleologou, 2002. "Is there a Greek-Turkish arms race? Some further empirical results from causality tests," Defence and Peace Economics, Taylor & Francis Journals, vol. 13(4), pages 321-328.

    More about this item

    Keywords

    Copper Futures Market; Market Efficiency; Unbiasedness Hypothesis; London Metal Exchange;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpfi:0512010. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: EconWPA (email available below). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.