IDEAS home Printed from https://ideas.repec.org/a/prg/jnlpol/v2007y2007i6id622p751-772.html
   My bibliography  Save this article

Testování slabé formy efektivnosti na českém akciovém trhu
[Testing the weak form of efficient market hypothesis for the czech stock market]

Author

Listed:
  • Tran Van Quang

Abstract

Efficient Market Hypothesis has dominated the field of research on capital market theory. It postulates that asset prices are rationally connected to economic realities and always incorporate all the information available to the market. A huge quantity of theoretical works around the world have been devoted to testing this hypothesis. In this paper, the weak form of the Efficient Market Hypothesis is tested on data from the Czech stock market of period 1996-2006. The tested hypothesis is verified by both linear and nonlinear methods. Those linear are: Box-Pierce test, variance ratio test, test of sequences and reversals nad Hurst exponent. The nonlinear ones are: White test, Engle test, Hinich test and BDS test. These tests are carried on stock returns time series of Czech stock market index PX and individual stocks as Telefónica, Komerční banka and ČEZ and series with randomly changed order from original series. The results of the testing indicate that returns, when randomly permutated, are independent, hence they follow a random walk. But it is impossible to maintain it in case of original returns series.It implies that returns of either Czech stock market index or its stocks are not independent and do not follow a random walk.

Suggested Citation

  • Tran Van Quang, 2007. "Testování slabé formy efektivnosti na českém akciovém trhu [Testing the weak form of efficient market hypothesis for the czech stock market]," Politická ekonomie, Prague University of Economics and Business, vol. 2007(6), pages 751-772.
  • Handle: RePEc:prg:jnlpol:v:2007:y:2007:i:6:id:622:p:751-772
    DOI: 10.18267/j.polek.622
    as

    Download full text from publisher

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.622.html
    Download Restriction: free of charge

    File URL: http://polek.vse.cz/doi/10.18267/j.polek.622.pdf
    Download Restriction: free of charge

    File URL: https://libkey.io/10.18267/j.polek.622?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

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

    References listed on IDEAS

    as
    1. Fama, Eugene F, 1991. "Efficient Capital Markets: II," Journal of Finance, American Finance Association, vol. 46(5), pages 1575-1617, December.
    2. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
    3. Pesaran, Mohammad Hashem, 2005. "Market efficiency today," CFS Working Paper Series 2006/01, Center for Financial Studies (CFS).
    4. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
    5. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    6. Melvin J. Hinich, 1982. "Testing For Gaussianity And Linearity Of A Stationary Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 3(3), pages 169-176, May.
    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. Kristoufek, Ladislav, 2009. "Procesy s dlouhou pamětí a jejich vývoj ve výnosech indexu PX v letech 1999 – 2009 [Long-term memory and its evolution in returns of PX between 1999 and 2009]," MPRA Paper 16435, University Library of Munich, Germany.
    2. Robert G. Kuklik, 2012. "The Macroeconomic Effects of Information Asymmetry in the Capital Markets," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2012(1), pages 62-73.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Michael Andersen & Robert Subbaraman, 1996. "Share Prices and Investment," RBA Research Discussion Papers rdp9610, Reserve Bank of Australia.
    2. Helmut Herwartz & Leonardo Morales-Arias, 2009. "In-sample and out-of-sample properties of international stock return dynamics conditional on equilibrium pricing factors," The European Journal of Finance, Taylor & Francis Journals, vol. 15(1), pages 1-28.
    3. Barnett, William A. & Serletis, Apostolos & Serletis, Demitre, 2015. "Nonlinear And Complex Dynamics In Economics," Macroeconomic Dynamics, Cambridge University Press, vol. 19(8), pages 1749-1779, December.
    4. Narayan, Paresh Kumar & Liu, Ruipeng & Westerlund, Joakim, 2016. "A GARCH model for testing market efficiency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 41(C), pages 121-138.
    5. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    6. Ajwa, Martine Therese, 1995. "Technical trading patterns: can they truly predict price movements and can they be exploited for excess returns?," ISU General Staff Papers 1995010108000011754, Iowa State University, Department of Economics.
    7. Nelson Manuel Areal & Manuel Jose Da Rocha Armada, 2002. "The long-horizon returns behaviour of the Portuguese stock market1," The European Journal of Finance, Taylor & Francis Journals, vol. 8(1), pages 93-122.
    8. Attila Odabasl & Celal Asku & Vedat Akgiray, 2004. "The statistical evolution of prices on the Istanbul stock exchange," The European Journal of Finance, Taylor & Francis Journals, vol. 10(6), pages 510-525.
    9. Chiang, Thomas C. & Jiang, Christine X., 1995. "Foreign exchange returns over short and long horizons," International Review of Economics & Finance, Elsevier, vol. 4(3), pages 267-282.
    10. David Vidal-Tomás & Simone Alfarano, 2020. "An agent-based early warning indicator for financial market instability," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 15(1), pages 49-87, January.
    11. J. Doyne Farmer, 2002. "Market force, ecology and evolution," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 11(5), pages 895-953, November.
    12. Milionis, Alexandros E., 2007. "Efficient capital markets: A statistical definition and comments," Statistics & Probability Letters, Elsevier, vol. 77(6), pages 607-613, March.
    13. Geweke, J. & Joel Horowitz & Pesaran, M.H., 2006. "Econometrics: A Bird’s Eye View," Cambridge Working Papers in Economics 0655, Faculty of Economics, University of Cambridge.
    14. Simon van Norden & Huntley Schaller, 2002. "Fads or bubbles?," Empirical Economics, Springer, vol. 27(2), pages 335-362.
    15. Ziliotto, Arianna & Serati, Massimiliano, 2015. "The semi-strong efficiency debate: In search of a new testing framework," Research in International Business and Finance, Elsevier, vol. 34(C), pages 412-438.
    16. Yudong Wang & Chongfeng Wu, 2013. "Efficiency of Crude Oil Futures Markets: New Evidence from Multifractal Detrending Moving Average Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 42(4), pages 393-414, December.
    17. Charles, Amélie & Darné, Olivier, 2009. "The efficiency of the crude oil markets: Evidence from variance ratio tests," Energy Policy, Elsevier, vol. 37(11), pages 4267-4272, November.
    18. Chun, Rodney M., 2000. "Compensation vouchers and equity markets: Evidence from Hungary," Journal of Banking & Finance, Elsevier, vol. 24(7), pages 1155-1178, July.
    19. F. DePenya & L. Gil-Alana, 2006. "Testing of nonstationary cycles in financial time series data," Review of Quantitative Finance and Accounting, Springer, vol. 27(1), pages 47-65, August.
    20. Amelie Charles & Olivier Darne, 2009. "Testing for Random Walk Behavior in Euro Exchange Rates," Economie Internationale, CEPII research center, issue 119, pages 25-45.

    More about this item

    Keywords

    random walk; Efficient Market Hypothesis; Hypothesis Testing; Linear and Nonlinear Methods; Czech Stock Market; Time Series with Randomly Permutated Order;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: 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:prg:jnlpol:v:2007:y:2007:i:6:id:622:p:751-772. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stanislav Vojir (email available below). General contact details of provider: https://edirc.repec.org/data/uevsecz.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.