IDEAS home Printed from https://ideas.repec.org/a/kap/ecopln/v38y2005i1p37-62.html
   My bibliography  Save this article

Financial Liberalization and Stock Price Behaviour in Asian Emerging Markets

Author

Listed:
  • Roland Füss

Abstract

This paper exhibits tests of the random walk hypothesis and market efficiency for seven Asian emerging markets as a result of the influence of financial market integration. Random walk properties of equity prices influence the return dynamic and determine the trade strategies of investors. To examine the stochastic properties of local index returns and to test the hypothesis that stock market prices follow a random walk, the single variance ratio tests of Lo and MacKinlay, as well as the multiple variance ratio test of Chow and Denning are employed. The multiple statistical comparison of variance ratios is based on the Studentized Maximum Modulus distribution with control of the joint-test’s size. The weak-form market efficiency is also tested directly, using a nonparametric runs test. These tests are particularly useful for investigating stock prices the returns of which are frequently not distributed normally. Documented evidence shows that, from the perspective of local investors, weekly stock prices in major Asian emerging markets do not follow a random walk in the pre-liberalization period. However, in the post-liberalization period the weak-form efficiency hypothesis is generally adopted at the 5% level except for the smaller stock markets of Indonesia and Thailand. These empirical findings suggest that financial integration affects the return predictability in such a way that domestic investors might not be able to develop trading strategies allowing them to earn abnormal returns. Copyright Springer 2005

Suggested Citation

  • Roland Füss, 2005. "Financial Liberalization and Stock Price Behaviour in Asian Emerging Markets," Economic Change and Restructuring, Springer, vol. 38(1), pages 37-62, March.
  • Handle: RePEc:kap:ecopln:v:38:y:2005:i:1:p:37-62
    DOI: 10.1007/s10644-005-4522-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s10644-005-4522-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s10644-005-4522-6?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.

    Citations

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


    Cited by:

    1. Amira Akl Ahmed, 2014. "Evolving and relative efficiency of MENA stock markets: evidence from rolling joint variance ratio tests," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(1), pages 91-126, May.
    2. Aymen Ben Rejeb & Adel Boughrara, 2014. "Financial liberalization and emerging stock market efficiency: an empirical analysis of structural changes," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 7(2), pages 230-245, September.
    3. Arshad, Shaista & Rizvi, Syed Aun R., 2015. "The troika of business cycle, efficiency and volatility. An East Asian perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 158-170.
    4. Ben Rejeb, Aymen & Boughrara, Adel, 2013. "Financial liberalization and stock markets efficiency: New evidence from emerging economies," Emerging Markets Review, Elsevier, vol. 17(C), pages 186-208.
    5. Arshad, Shaista & Rizvi, Syed Aun R. & Ghani, Gairuzazmi Mat & Duasa, Jarita, 2016. "Investigating stock market efficiency: A look at OIC member countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 402-413.
    6. Dong, Xiyong & Yoon, Seong-Min, 2019. "What global economic factors drive emerging Asian stock market returns? Evidence from a dynamic model averaging approach," Economic Modelling, Elsevier, vol. 77(C), pages 204-215.
    7. Imlak Shaikh & Puja Padhi, 2014. "The forecasting performance of implied volatility index: evidence from India VIX," Economic Change and Restructuring, Springer, vol. 47(4), pages 251-274, November.
    8. Vieito, João Paulo & Wong, Wing-Keung & Chow, Sheung Chi, 2016. "Stock Market Liberalizations and Efficiency: The Case of Latin America," MPRA Paper 68949, University Library of Munich, Germany.
    9. Chiang, Shu-Mei & Lee, Yen-Hsien & Su, Hsin-Mei & Tzou, Yi-Pin, 2010. "Efficiency tests of foreign exchange markets for four Asian Countries," Research in International Business and Finance, Elsevier, vol. 24(3), pages 284-294, September.
    10. Panha Heng & Scott J. Niblock, 2014. "Trading with Tigers: A Technical Analysis of Southeast Asian Stock Index Futures," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 679-692, December.
    11. Sukpitak, Jessada & Hengpunya, Varagorn, 2016. "Efficiency of Thai stock markets: Detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 458(C), pages 204-209.
    12. Lim, Kian-Ping & Brooks, Robert D. & Kim, Jae H., 2008. "Financial crisis and stock market efficiency: Empirical evidence from Asian countries," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 571-591, June.

    More about this item

    Keywords

    Asian emerging markets; market efficiency; multiple variance ratio test; random walk; runs test; weak-form market efficiency; G12; G14; G15;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    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:kap:ecopln:v:38:y:2005:i:1:p:37-62. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.