IDEAS home Printed from https://ideas.repec.org/a/mes/emfitr/v51y2015i3p658-671.html
   My bibliography  Save this article

Asia-Pacific Stock Return Predictability and Market Information Flows

Author

Listed:
  • Chien-Chih Lin

Abstract

In this study, I investigate lead-lag relationships among Asia-Pacific country stock returns. Taking the GARCH effects into account, I estimate a prediction model, and find that lagged Singapore returns exhibit the strongest predictive ability for the returns of Asia-Pacific countries. Estimating this model, I find that lagged Singapore returns exhibit the strongest predictive ability for the returns of Asia-Pacific countries. The Asia-Pacific stock markets react with a delay of information contained in lagged Singapore returns about their fundamentals, and that information diffuses gradually across Asia-Pacific stock markets. Finally, using the MSPE-adjusted statistic, I provide out-of-sample evidence to examine the consistency of the predictive power of lagged Singapore returns.

Suggested Citation

  • Chien-Chih Lin, 2015. "Asia-Pacific Stock Return Predictability and Market Information Flows," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 51(3), pages 658-671, May.
    • Handle: RePEc:mes:emfitr:v:51:y:2015:i:3:p:658-671
    DOI: 10.1080/1540496X.2015.1046336
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1540496X.2015.1046336
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1540496X.2015.1046336?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. Tissaoui, Kais & Azibi, Jamel, 2019. "International implied volatility risk indexes and Saudi stock return-volatility predictabilities," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 65-84.
    2. Kim, Hyun-Seok & Min, Hong-Ghi & McDonald, Judith A., 2016. "Returns, correlations, and volatilities in equity markets: Evidence from six OECD countries during the US financial crisis," Economic Modelling, Elsevier, vol. 59(C), pages 9-22.
    3. Yanying Zhang & Yiuman Tse & Gaiyan Zhang, 2022. "Return predictability between industries and the stock market in China," Pacific Economic Review, Wiley Blackwell, vol. 27(2), pages 194-220, May.

    More about this item

    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:mes:emfitr:v:51:y:2015:i:3:p:658-671. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MREE20 .

    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.