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Structurally Sound Dynamic Index Futures Hedging

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Author Info
Patrick McGlenchy
Paul Kofman
Abstract

Portfolio managers use index futures for a variety of reasons. Regardless of their motivation, they will keep a close eye on the relation between the futures and their stock portfolio returns. Whenever this relation is perceived to have changed, the manager will decide whether it is worthwhile to rebalance the portfolio mix. Exact measures as to when and how much rebalancing should occur, have not yet been established. This paper proposes a heuristic algorithm to dynamically update hedged portfolios. This dynamic hedging algorithm is based on a Reverse Order Cusumsquare (ROC) testing procedure, proposed by Pesaran and Timmermann (2002), to optimally determine forecast estimation windows. In a comparison with standard alternatives (expanding window, EWLS window and rolling window), we find significant improvements in hedging performance, both in- and out-of-samp

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Paper provided by Econometric Society in its series Econometric Society 2004 Australasian Meetings with number 80.

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Date of creation: 11 Aug 2004
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Handle: RePEc:ecm:ausm04:80

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Keywords: reverse order cusum-square test index futures hedging

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G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Elena Andreou & Eric Ghysels, 2003. "Test for Breaks in the Conditional Co-Movements of Asset Returns," University of Cyprus Working Papers in Economics 3-2003, University of Cyprus Department of Economics. [Downloadable!]
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  2. Pesaran, M. Hashem & Timmermann, Allan, 2002. "Market timing and return prediction under model instability," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 495-510, December. [Downloadable!] (restricted)
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  3. Chris Brooks & Simon Burke & Gita Persand, 2003. "Multivariate GARCH Models: Software Choice and Estimation Issues," ICMA Centre Discussion Papers in Finance icma-dp2003-07, School of Business, Reading University. [Downloadable!]
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  4. Tong, Wilson H. S., 1996. "An examination of dynamic hedging," Journal of International Money and Finance, Elsevier, vol. 15(1), pages 19-35, February. [Downloadable!] (restricted)
  5. 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. [Downloadable!] (restricted)
  6. Ah-Boon Sim, Ralf Zurbruegg, 2001. "Optimal hedge ratios and alternative hedging strategies in the presence of cointegrated time-varying risks," European Journal of Finance, Taylor and Francis Journals, vol. 7(3), pages 269-283, September. [Downloadable!] (restricted)
  7. Lafuente, Juan A. & Novales, Alfonso, 2003. "Optimal hedging under departures from the cost-of-carry valuation: Evidence from the Spanish stock index futures market," Journal of Banking & Finance, Elsevier, vol. 27(6), pages 1053-1078, June. [Downloadable!] (restricted)
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  8. Engle, Robert, 2002. "Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(3), pages 339-50, July.
  9. Edgerton, David & Wells, Curt, 1994. "Critical Values for the Cusumsq Statistic in Medium and Large Sized Samples," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 56(3), pages 355-65, August.
  10. Cecchetti, Stephen G & Cumby, Robert E & Figlewski, Stephen, 1988. "Estimation of the Optimal Futures Hedge," The Review of Economics and Statistics, MIT Press, vol. 70(4), pages 623-30, November. [Downloadable!] (restricted)
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  11. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April. [Downloadable!] (restricted)
  12. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22. [Downloadable!]
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  13. Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques. [Downloadable!]
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