IDEAS home Printed from https://ideas.repec.org/a/agr/journl/v5(558)(supplement)y2011i5(558)(supplement)p647-654.html
   My bibliography  Save this article

Predictability Of Stock Market Crashes: A Statistical Approach

Author

Listed:
  • Daniel Traian Pele

    (Bucharest Academy of Economic Studies)

Abstract

The last decades of the last century were marked by a prodigious development of capital markets phenomena modeling. Mathematical modeling, which proved its utility in the study of natural science, was adapted to the economic sphere in order to increase the degree of accuracy of the results and, particularly, predictions. The recent economic and financial crises once again show that the predictions provided by mathematical models were successful especially regarding the past and less regarding future evolutions. This study presents a statistical approach of the predictability of stock market crashes, with applications on the Romanian capital market.

Suggested Citation

  • Daniel Traian Pele, 2011. "Predictability Of Stock Market Crashes: A Statistical Approach," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 5(5(558)(su), pages 647-654, July.
    • Handle: RePEc:agr:journl:v:5(558)(supplement):y:2011:i:5(558)(supplement):p:647-654
    as

    Download full text from publisher

    File URL: http://store.ectap.ro/suplimente/Conferinta%20FABBV%202010_engleza.pdf
    Download Restriction: no
    ---><---

    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:agr:journl:v:5(558)(supplement):y:2011:i:5(558)(supplement):p:647-654. 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: Marin Dinu (email available below). General contact details of provider: https://edirc.repec.org/data/agerrea.html .

    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.