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Hedging interest rate risk with multivariate GARCH

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  • Eduardo Rossi
  • Claudio Zucca

Abstract

This paper deals with the estimation of optimal hedge ratios. Three alternative hedging strategies are considered: duration matching, least squares hedge estimator and asymmetric multivariate GARCH. Hedging performance comparisons, in terms of ex-post variance portfolio reduction, are conducted. The portfolio analysed is composed by Italian Government Bonds. The hedging instrument is the nearby futures contract traded on LIFFE. Eventually, a dynamic hedging strategy is proposed in which the potential risk reduction is more than enough to offset the transaction costs.

Suggested Citation

  • Eduardo Rossi & Claudio Zucca, 2002. "Hedging interest rate risk with multivariate GARCH," Applied Financial Economics, Taylor & Francis Journals, vol. 12(4), pages 241-251.
    • Handle: RePEc:taf:apfiec:v:12:y:2002:i:4:p:241-251
    DOI: 10.1080/09603100110088094
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    References listed on IDEAS

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    1. repec:cte:wsrepe:ws131009 is not listed on IDEAS
    2. Virbickaitė, Audronė & Ausín, M. Concepción & Galeano, Pedro, 2016. "A Bayesian non-parametric approach to asymmetric dynamic conditional correlation model with application to portfolio selection," Computational Statistics & Data Analysis, Elsevier, vol. 100(C), pages 814-829.
    3. Abdulnasser Hatemi-J & Eduardo Roca, 2006. "Calculating the optimal hedge ratio: constant, time varying and the Kalman Filter approach," Applied Economics Letters, Taylor & Francis Journals, vol. 13(5), pages 293-299.
    4. Zanotti, Giovanna & Gabbi, Giampaolo & Geranio, Manuela, 2010. "Hedging with futures: Efficacy of GARCH correlation models to European electricity markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 20(2), pages 135-148, April.

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