IDEAS home Printed from https://ideas.repec.org/a/bor/bistre/v16y2016i1p1-8.html

How does crisis affect efficiency? An empirical study of East Asian markets

Author

Listed:
  • Syed Aun R. Rizvi
  • Shaista Arshad

Abstract

Much research has been undertaken in the Efficient Market Hypothesis (EMH) over the preceding two decades. With Asian countries emerging as a global powerhouse in terms of regional economics, the interest in their stock markets has picked up recently. Asian markets traditionally comprised of many emerging markets are generally assumed to be more volatile and speculative in nature. Based on this crux, we focus specifically on the response of these markets efficiency to major crisis. In recent years, the Asian markets have experienced a phenomenal boom in attracting foreign capital inflow, with Singapore evolving into a global financial hub in terms of banking and financial services. Scepticism and cautious nature raises the question of whether these stock markets are efficient enough for further investment and development. Our study is unique in nature, as we focus on the efficiency of these market in response to crisis periods, comparing it with their pre-crisis period, both in shorter term of 1 year as well as longer term of 5 years post and pre crisis period. Taking Malaysia, Indonesia, Singapore and South Korea owing to their economic and financial development, we use MF-DFA to derive efficiency measure for comparative analysis with its own past. The findings put forth a notion of generally a deteriorating and negative impact of the Asian financial crisis, while the sub-prime crisis impact varies based on the economic structure of the economies. The findings concur with the mainstream literature and similar studies for other countries and region.

Suggested Citation

  • Syed Aun R. Rizvi & Shaista Arshad, 2016. "How does crisis affect efficiency? An empirical study of East Asian markets," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 16(1), pages 1-8, March.
  • Handle: RePEc:bor:bistre:v:16:y:2016:i:1:p:1-8
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2214845015300107
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

    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:bor:bistre:v:16:y:2016:i:1:p:1-8. 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: Ahmet Palu (email available below). General contact details of provider: https://edirc.repec.org/data/rdisetr.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.