IDEAS home Printed from https://ideas.repec.org/p/ihs/ihsesp/254.html
   My bibliography  Save this paper

The Asia Financial Crises and Exchange Rates

Author

Listed:
  • Oga, Takashi

    (Chiba University, Chiba, Japan)

  • Polasek, Wolfgang

    (Department of Economics and Finance, Institute for Advanced Studies, Vienna, Austria)

Abstract

We analyse the volatility structure of Asian currencies against the U.S. dollar (USD) for the Thai Baht THB, the Philippine Peso PHP, the Indonesian Rupiah IDR and the South Korean Won KRW. Our goal is to check if the characteristics of the volatility dynamics have changed in a K-state switching AR(1)-GARCH(1,1) model in the last decade 1995-2008 covering the Asian crisis. We estimate the model of Haas et al. (2003) with MCMC and we find that for the four currencies the volatility dynamics has changed at least once.

Suggested Citation

  • Oga, Takashi & Polasek, Wolfgang, 2010. "The Asia Financial Crises and Exchange Rates," Economics Series 254, Institute for Advanced Studies.
  • Handle: RePEc:ihs:ihsesp:254
    as

    Download full text from publisher

    File URL: https://irihs.ihs.ac.at/id/eprint/2013
    File Function: First version, 2010
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Sayo Ayodeji, 2015. "Modeling Asymmetric Effect in African Currency Markets: Evidence from Kenya," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 4(3), pages 1-2.

    More about this item

    Keywords

    Markov switching GARCH models; Asian currency crisis 1997; volatility breaks; Bayesian MCMC; model choice;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ihs:ihsesp: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: Doris Szoncsitz (email available below). General contact details of provider: https://edirc.repec.org/data/deihsat.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.