IDEAS home Printed from https://ideas.repec.org/p/wpa/wuwpfi/0512018.html
   My bibliography  Save this paper

Hedge ratio estimation and hedging effectiveness: the case of the S&P 500 stock index futures contract

Author

Listed:
  • Dimitris Kenourgios

    (University of Athens)

  • Aristeidis Samitas

    (University of Aegean)

  • Panagiotis Drosos

    (University of Sheffield)

Abstract

This paper investigates the hedging effectiveness of the Standard & Poor’s (S&P) 500 stock index futures contract using weekly settlement prices for the period July 3rd, 1992 to June 30th, 2002. Particularly, it focuses on three areas of interest: the determination of the appropriate model for estimating a hedge ratio that minimizes the variance of returns; the hedging effectiveness and the stability of optimal hedge ratios through time; an in-sample forecasting analysis in order to examine the hedging performance of different econometric methods. The hedging performance of this contract is examined considering alternative methods, both constant and time-varying, for computing more effective hedge ratios. The results suggest the optimal hedge ratio that incorporates nonstationarity, long run equilibrium relationship and short run dynamics is reliable and useful for hedgers. Comparisons of the hedging effectiveness and in-sample hedging performance of each model imply that the error correction model (ECM) is superior to the other models employed in terms of risk reduction. Finally, the results for testing the stability of the optimal hedge ratio obtained from the ECM suggest that it remains stable over time.

Suggested Citation

  • Dimitris Kenourgios & Aristeidis Samitas & Panagiotis Drosos, 2005. "Hedge ratio estimation and hedging effectiveness: the case of the S&P 500 stock index futures contract," Finance 0512018, EconWPA.
  • Handle: RePEc:wpa:wuwpfi:0512018
    Note: Type of Document - pdf; pages: 23
    as

    Download full text from publisher

    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/fin/papers/0512/0512018.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. John Hua Fan & Eduardo Roca & Alexandr Akimov, 2010. "Hedging With Futures Contract: Estimation and Performance Evaluation of Optimal Hedge Ratios in the European Union Emissions Trading Scheme," Discussion Papers in Finance finance:201009, Griffith University, Department of Accounting, Finance and Economics.
    3. Elisa Scarpa & Matteo Manera, 2008. "Pricing and hedging illiquid energy derivatives: An application to the JCC index," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(5), pages 464-487, May.

    More about this item

    Keywords

    Hedging effectiveness; minimum variance hedge ratio (MVHR); hedging models; Standard & Poor’s 500 stock index futures;

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpfi:0512018. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA). General contact details of provider: https://econwpa.ub.uni-muenchen.de .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.