IDEAS home Printed from https://ideas.repec.org/a/fau/fauart/v57y2007i5-6p235-254.html
   My bibliography  Save this article

Information Efficiency of the Capital Market: a Stochastic Calculus Approach Evidence from the Czech Republic (in English)

Author

Listed:
  • Vít Pošta

    (University of Economics, Prague)

  • Zbynìk Hackl

    (University of Economics, Prague)

Abstract

This paper deals with an important characteristic of the capital market: information efficiency. With the use of geometric Brownian motion, the authors run several projections of stock prices based on varying amount of historic information and compare these projections with the real behavior of the stock prices, examining for predictability. This enables to verify the condition of the weak-efficiency hypothesis in the form of a Markov process. The authors conduct the empirical part of their analysis in the environment of the Czech capital market, thus providing additional information on the development of transition economies.

Suggested Citation

  • Vít Pošta & Zbynìk Hackl, 2007. "Information Efficiency of the Capital Market: a Stochastic Calculus Approach Evidence from the Czech Republic (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 57(5-6), pages 235-254, August.
  • Handle: RePEc:fau:fauart:v:57:y:2007:i:5-6:p:235-254
    as

    Download full text from publisher

    File URL: http://journal.fsv.cuni.cz/storage/1078_fau_5_6_2007_00000000037.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Victor Dragotă & Elena Ţilică, 2014. "Market efficiency of the Post Communist East European stock markets," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 22(2), pages 307-337, June.
    2. Ferreira, Paulo, 2018. "Long-range dependencies of Eastern European stock markets: A dynamic detrended analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 454-470.
    3. Vít Pošta, 2009. "The Role of fundamentals factors of empirical analysis of the Prague stock exchange," Ekonomika a Management, Prague University of Economics and Business, vol. 2009(3).
    4. Vít Pošta, 2008. "Estimating the Dynamics of Weak Efficiency on the Prague Stock Exchange Using the Kalman Filter," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 58(05-06), pages 248-260, August.

    More about this item

    Keywords

    Monte Carlo; stochastic calculus; weak-form information efficiency;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:fau:fauart:v:57:y:2007:i:5-6:p:235-254. 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.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.