IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-03680577.html
   My bibliography  Save this paper

Time-Varying Beta during the 2008 Financial Crisis \textendash Evidence from North America and Western Europe

Author

Listed:
  • I. Ben Slimane
  • Makram Bellalah

    (CRIISEA - Centre de Recherche sur les Institutions, l'Industrie et les Systèmes Économiques d'Amiens - UR UPJV 3908 - UPJV - Université de Picardie Jules Verne)

  • H. Rjiba

Abstract

Purpose: This paper aims to analyze the impact of the global financial crisis on the conditional beta in the region of North America and Western Europe and the effect on the behavior and decisions of the investor. Design/methodology/approach: The authors model the variations of volatility in financial markets during crisis using the bivariate GARCH model of Engle and Kroner (1995). Findings: The empirical investigation identifies an additional effect of the crisis over the period of the test. Results indicate a rise in the beta in some cases and a fall in others. This rise had a direct impact on the systematic beta risk, which increased for the majority of the companies during the crisis period. The increase in beta during the crisis period has an effect on the behavior of the investor and his decisions. Research limitations/implications: The increase in the beta during the period of crisis due to a high volatility returns has an effect on the behavior and decisions of the investor. Originality/value: This paper examines the effects of the ``subprime crisis'' on the risk premium of companies in several sectors of activity. \textcopyright 2017, \textcopyright Emerald Publishing Limited.

Suggested Citation

  • I. Ben Slimane & Makram Bellalah & H. Rjiba, 2017. "Time-Varying Beta during the 2008 Financial Crisis \textendash Evidence from North America and Western Europe," Post-Print hal-03680577, HAL.
  • Handle: RePEc:hal:journl:hal-03680577
    DOI: 10.1108/JRF-02-2017-0020
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Pedro Antonio Martín-Cervantes & María del Carmen Valls Martínez, 2023. "Unraveling the relationship between betas and ESG scores through the Random Forests methodology," Risk Management, Palgrave Macmillan, vol. 25(3), pages 1-29, September.

    More about this item

    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:hal:journl:hal-03680577. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.