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The role of long memory in hedging effectiveness

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  • Coakley, Jerry
  • Dollery, Jian
  • Kellard, Neil

Abstract

A joint fractionally integrated, error-correction and multivariate GARCH (FIEC-BEKK) approach is applied to investigate hedging effectiveness using daily data 1995-2005. The findings reveal the proxied error-correction term has a long memory component that theoretically should affect hedging effectiveness. When the FIEC model empirical conditions are satisfied, the FIEC-BEKK hedging strategy outperforms the OLS benchmark out of sample in terms of both variance reduction and hedger utility. A bootstrap exercise indicates that the variance reduction is statistically significant.

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Bibliographic Info

Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

Volume (Year): 52 (2008)
Issue (Month): 6 (February)
Pages: 3075-3082

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Handle: RePEc:eee:csdana:v:52:y:2008:i:6:p:3075-3082

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Web page: http://www.elsevier.com/locate/csda

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  1. Lien, Donald & Tse, Y K, 2002. " Some Recent Developments in Futures Hedging," Journal of Economic Surveys, Wiley Blackwell, vol. 16(3), pages 357-96, July.
  2. Baillie, Richard T & Myers, Robert J, 1991. "Bivariate GARCH Estimation of the Optimal Commodity Futures Hedge," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(2), pages 109-24, April-Jun.
  3. GianCarlo Moschini & Robert J. Myers, 2001. "Testing for Constant Hedge Ratios in Commodity Markets: A Multivariate GARCH Approach," Center for Agricultural and Rural Development (CARD) Publications 01-wp268, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  4. Choi, Kyongwook & Zivot, Eric, 2007. "Long memory and structural changes in the forward discount: An empirical investigation," Journal of International Money and Finance, Elsevier, vol. 26(3), pages 342-363, April.
  5. Granger, Clive W J, 1986. "Developments in the Study of Cointegrated Economic Variables," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 213-28, August.
  6. Lien, Donald, 2005. "The use and abuse of the hedging effectiveness measure," International Review of Financial Analysis, Elsevier, vol. 14(2), pages 277-282.
  7. Kellard, Neil & Sarantis, Nicholas, 2008. "Can exchange rate volatility explain persistence in the forward premium?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 714-728, September.
  8. Hassler, Uwe & Marmol, Francesc & Velasco, Carlos, 2002. "Residual Log-Periodogram Inference for Long-Run-Relationships," Darmstadt Discussion Papers in Economics 37317, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute of Economics (VWL).
  9. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
  10. Donald Lien & Y. K. Tse & Albert Tsui, 2002. "Evaluating the hedging performance of the constant-correlation GARCH model," Applied Financial Economics, Taylor & Francis Journals, vol. 12(11), pages 791-798.
  11. Arteche, J., 2006. "Semiparametric estimation in perturbed long memory series," Computational Statistics & Data Analysis, Elsevier, vol. 51(4), pages 2118-2141, December.
  12. Seppo Pynnonen & Johan Knif, 1998. "Common long-term and short-term price memory in two Scandinavian stock markets," Applied Financial Economics, Taylor & Francis Journals, vol. 8(3), pages 257-265.
  13. Velasco, Carlos, 1999. "Non-stationary log-periodogram regression," Journal of Econometrics, Elsevier, vol. 91(2), pages 325-371, August.
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Cited by:
  1. CHIA-LIN CHANG & MICHAEL McALEER & ROENGCHAI TANSUCHAT, 2012. "Modelling Long Memory Volatility In Agricultural Commodity Futures Returns," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 7(02), pages 1250010-1-1.
  2. Davidson, James & Hashimzade, Nigar, 2009. "Type I and type II fractional Brownian motions: A reconsideration," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2089-2106, April.

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