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Cointegration Based Trading Strategy For Soft Commodities Market

Author

Listed:
  • Piotr Arendarski

    (University of Warsaw, Faculty of Economic Sciences)

  • Łukasz Postek

    (University of Warsaw, Faculty of Economic Sciences; National Bank of Poland, Economic Institute)

Abstract

This paper explores cointegration among three of the most popular agriculture soft commodities (corn, soya and wheat) and its potential usefulness for dynamic asset allocation strategies. Johansen tests indicate that natural logarithms of weekly prices of corn, soya and wheat futures are cointegrated and two cointegrating vectors exist. Formal tests show that the estimated long-run relationship is stable even beyond the estimation sample. We use obtained results to create simple trading rules and verify their profitability. The trading strategies’ risk-adjusted abnormal returns look to be significant based on the Sharpe ratio criterion and they are low correlated with the stock market.

Suggested Citation

  • Piotr Arendarski & Łukasz Postek, 2012. "Cointegration Based Trading Strategy For Soft Commodities Market," Working Papers 2012-02, Faculty of Economic Sciences, University of Warsaw.
    • Handle: RePEc:war:wpaper:2012-02
    as

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    File URL: http://www.wne.uw.edu.pl/inf/wyd/WP/WNE_WP68.pdf
    File Function: First version, 2012
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    References listed on IDEAS

    as
    1. Leland L. Johnson, 1960. "The Theory of Hedging and Speculation in Commodity Futures," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 27(3), pages 139-151.
    2. A. G. Malliaris & Jorge L. Urrutia, 1996. "Linkages between agricultural commodity futures contracts," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 16(5), pages 595-609, August.
    3. G. Geoffrey Booth & Cetin Ciner, 2001. "Linkages among agricultural commodity futures prices: evidence from Tokyo," Applied Economics Letters, Taylor & Francis Journals, vol. 8(5), pages 311-313.
    4. Ramaprasad Bhar & Shigeyuki Hamori, 2006. "Linkages among agricultural commodity futures prices: some further evidence from Tokyo," Applied Economics Letters, Taylor & Francis Journals, vol. 13(8), pages 535-539.
    5. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    6. 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.
    7. 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(1), pages 23-42, March.
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    Cited by:

    1. Youngho Chang & Zheng Fang & Shigeyuki Hamori, 2017. "Volatility and Causality in Strategic Commodities: Characteristics, Myth and Evidence," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(8), pages 162-178, August.

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    Keywords

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    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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