IDEAS home Printed from
   My bibliography  Save this article

Extreme movements of the main stocks traded in the Eurozone: an analysis by sectors in the 2000's decade


  • Emma M. Iglesias
  • María Dolores Lagoa Varela


We have analysed extreme movements of the main stocks traded in the Eurozone by sectors in the 2000's decade. We find several patterns. First , we can classify firms by sector according to their different estimated Value-at-Risk (VaR) values but we cannot find differences according to their geographical situation. Second , we find sectors where companies have very high (telecommunications and banking) and very low (petroleum, utilities, energy and consumption) estimated VaR values. Other sectors such as industry are very heterogeneous. Third , we get differences when we analyse the correlation between average return and VaR estimates: higher average return is found in firms with smaller risk in extreme events in the banking and consumption subsectors; however, higher return with higher estimated VaR values occurs in the utilities (electricity and gas) subsector, being less attractive for very risk-averse investors. Finally , our results show that very risk-averse investors that are looking for high average return and low estimated VaR should choose the following firms classified by sector: Danone and Sanofi-Aventis (consumption), Bbva (financial services), Eni Spa and Iberdrola (petroleum and energy) and Telefonica (technology and telecommunications).

Suggested Citation

  • Emma M. Iglesias & María Dolores Lagoa Varela, 2012. "Extreme movements of the main stocks traded in the Eurozone: an analysis by sectors in the 2000's decade," Applied Financial Economics, Taylor & Francis Journals, vol. 22(24), pages 2085-2100, December.
  • Handle: RePEc:taf:apfiec:v:22:y:2012:i:24:p:2085-2100
    DOI: 10.1080/09603107.2012.697121

    Download full text from publisher

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    1. Iglesias, Emma M. & Linton, Oliver, 2009. "Estimation of tail thickness parameters from GJR-GARCH models," UC3M Working papers. Economics we094726, Universidad Carlos III de Madrid. Departamento de Economía.
    Full references (including those not matched with items on IDEAS)


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

    Cited by:

    1. Iglesias, Emma M., 2015. "Value at Risk of the main stock market indexes in the European Union (2000–2012)," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 1-13.
    2. Iglesias, Emma M., 2015. "Value at Risk and expected shortfall of firms in the main European Union stock market indexes: A detailed analysis by economic sectors and geographical situation," Economic Modelling, Elsevier, vol. 50(C), pages 1-8.

    More about this item


    Access and download statistics


    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:taf:apfiec:v:22:y:2012:i:24:p:2085-2100. 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: (Chris Longhurst). General contact details of provider: .

    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.