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The Effects of Dollar/Sterling Exchange Rate Volatility on Futures Markets for Coffee and Cocoa

Author

Listed:
  • Jumah, Adusei

    (Institute for Advanced Studies, Vienna)

  • Kunst, Robert M.

    (Institute for Advanced Studies, Vienna)

Abstract

The paper investigates the extent to which the dollar/sterling exchange rate fluctuations affect coffee and cocoa futures prices on the London LIFFE and the New York CSCE by means of multivariate GARCH models - under the assumption that traders in perfectly competitive markets have equal access to all available information on changes in weather and in global demand and supply conditions. In three out of the four investigated cases, exchange rate posed as a main source of risk for the commodity futures price. The significance and form of volatility spill-over effects of a bilateral exchange rate are shown to be specific for commodity and market. A forecasting comparison on the basis of the identified models suggests that possible gains in prediction accuracy may be small.

Suggested Citation

  • Jumah, Adusei & Kunst, Robert M., 1999. "The Effects of Dollar/Sterling Exchange Rate Volatility on Futures Markets for Coffee and Cocoa," Economics Series 73, Institute for Advanced Studies.
  • Handle: RePEc:ihs:ihsesp:73
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    References listed on IDEAS

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    1. Tyers,Rod & Anderson,Kym, 1992. "Disarray in World Food Markets," Cambridge Books, Cambridge University Press, number 9780521351058.
    2. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 1999. "The Distribution of Exchange Rate Volatility," New York University, Leonard N. Stern School Finance Department Working Paper Seires 99-059, New York University, Leonard N. Stern School of Business-.
    3. Carmen M. Reinhart & Peter Wickham, 1994. "Commodity Prices: Cyclical Weakness or Secular Decline?," IMF Staff Papers, Palgrave Macmillan, vol. 41(2), pages 175-213, June.
    4. Dominique Yves Dupont & Mr. V. Hugo Juan-Ramon, 1996. "Real Exchange Rates and Commodity Prices," IMF Working Papers 1996/027, International Monetary Fund.
    5. Morgan, C. W. & Rayner, A. J. & Ennew, C. T., 1994. "Price instability and commodity futures markets," World Development, Elsevier, vol. 22(11), pages 1729-1736, November.
    6. Angus Deaton & Guy Laroque, 1992. "On the Behaviour of Commodity Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(1), pages 1-23.
    7. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521634809.
    8. Marc Sáez & Robert M. Kunst, 1995. "ARCH patterns in cointegrated systems," Economics Working Papers 110, Department of Economics and Business, Universitat Pompeu Fabra.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Bui, Nhuong & Pippenger, John, 1990. "Commodity prices, exchange rates and their relative volatility," Journal of International Money and Finance, Elsevier, vol. 9(1), pages 3-20, March.
    11. Tyers,Rod & Anderson,Kym, 2011. "Disarray in World Food Markets," Cambridge Books, Cambridge University Press, number 9780521172318.
    12. Chambers, Marcus J & Bailey, Roy E, 1996. "A Theory of Commodity Price Fluctuations," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 924-957, October.
    13. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    14. Clements,Michael & Hendry,David, 1998. "Forecasting Economic Time Series," Cambridge Books, Cambridge University Press, number 9780521632423.
    15. Elfakhani, Said & Wionzek, Ritchie J., 1997. "Intermarket spread opportunities between Canadian and American agricultural futures," International Review of Economics & Finance, Elsevier, vol. 6(4), pages 361-377.
    16. Nelson, Daniel B., 1990. "Stationarity and Persistence in the GARCH(1,1) Model," Econometric Theory, Cambridge University Press, vol. 6(3), pages 318-334, September.
    17. John T. Cuddington & Hong Liang, 1998. "Commodity Price Volatility Across Exchange Rate Regimes," International Finance 9802003, University Library of Munich, Germany, revised 11 May 1998.
    18. Holt, Matthew & Aradhyula, Satheesh V., 1990. "Price Risk in Supply Equations: An Application of Garch Time-Series Models to the U.S. Broiler Market," Staff General Research Papers Archive 276, Iowa State University, Department of Economics.
    19. Adusei Jumah & Sohbet Karbuz & Gerhard Runstler, 1999. "Interest rate differentials, market integration, and the efficiency of commodity futures markets," Applied Financial Economics, Taylor & Francis Journals, vol. 9(1), pages 101-108.
    20. Jeffrey C. Fuhrer, 1993. "Commodity prices, the term structure of interest rates, and exchange rates: useful indicators for monetary policy?," New England Economic Review, Federal Reserve Bank of Boston, issue Nov, pages 18-32.
    21. Sohbet Karbuz & Adusei Jumah, 1995. "Cointegration and commodity arbitrage," Agribusiness, John Wiley & Sons, Ltd., vol. 11(3), pages 235-243.
    22. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    3. Oyinbo, O. & Rekwot, G. Z., 2014. "Econometric Analysis of the Nexus of Exchange Rate Deregulation and Agricultural Share of Gross Domestic Product in Nigeria," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 6(1), pages 1-7.
    4. Maurice J. Roche & Kieran McQuinn, 2003. "Grain price volatility in a small open economy," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 30(1), pages 77-98, March.
    5. Kepulaje Abhaya Kumar & Cristi Spulbar & Prakash Pinto & Iqbal Thonse Hawaldar & Ramona Birau & Jyeshtaraja Joisa, 2022. "Using Econometric Models to Manage the Price Risk of Cocoa Beans: A Case from India," Risks, MDPI, vol. 10(6), pages 1-18, June.
    6. Carcano, G. & Falbo, P. & Stefani, S., 2005. "Speculative trading in mean reverting markets," European Journal of Operational Research, Elsevier, vol. 163(1), pages 132-144, May.
    7. Guillermo Benavides Peralesv & Francisco Venegas Martínez, 2022. "Impact of Exchange Rate Volatility on Agricultural Trade between the U.S. and Mexico (1990-2017)," Economía: teoría y práctica, Universidad Autónoma Metropolitana, México, vol. 56(1), pages 131-154, Enero-Jun.

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    More about this item

    Keywords

    Commodity markets; Multivariate GARCH models; Exchange rates; Volatility; Forecasting;
    All these keywords.

    JEL classification:

    • 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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

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