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Common Stochastic Trends: Evidence from the London Metal Exchange

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  • Agbeyegbe, Terence D

Abstract

Recent evidence from cointegration theory points towards the efficiency of the London Metal Exchange. The author shows that on theoretical grounds this evidence could be misleading. He also conducts multivariate and univariate unit roots tests on prices of three different metals, namely: copper, lead and zinc. The price data are seasonal and unadjusted quarterly data from the London Metal Exchange and they cover the period from 1972.1-1987.4. The evidence presented here supports the presence of common stochastic trends in metal price movements. Copyright 1992 by Blackwell Publishing Ltd and the Board of Trustees of the Bulletin of Economic Research

Suggested Citation

  • 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.
    • Handle: RePEc:bla:buecrs:v:44:y:1992:i:2:p:141-51
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    Cited by:

    1. 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.
    2. Guo, Jin, 2018. "Co-movement of international copper prices, China's economic activity, and stock returns: Structural breaks and volatility dynamics," Global Finance Journal, Elsevier, vol. 36(C), pages 62-77.
    3. Vasyl Golosnoy & Anja Rossen, 2018. "Modeling dynamics of metal price series via state space approach with two common factors," Empirical Economics, Springer, vol. 54(4), pages 1477-1501, June.
    4. Sathye, Milind, 2006. "US Coffee C Futures: Some results from test of cointegration and GARCH," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 6(3).
    5. 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.
    6. 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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