This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Asymmetric Volatility Of Exchange Rate Returns Under The Ems: Some Evidence From Quantile Regression Appoach For Tgarch Models

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
BEUM-JO PARK
Abstract

This paper investigates the systematic impact of the European Monetary System (EMS) on asymmetry in volatility of exchange rates vis-à-vis the Deutsche Mark. It seems plausible that the symmetric fluctuation band in the EMS affects asymmetric volatility and this is dominant at extreme returns. To examine the plausibility, this paper proposes quantile regression for threshold GARCH models (QRTGARCH), which allows an asymmetric reaction of conditional volatility to shocks without any rigid distributional assumptions. Futher, it is well suited to precisely capture the asymmetric behaviors of conditional voltility over different levels of returns. The empirical finding suggests that the EMS seems to have some systematic effect on the asymmetry in volatility at moderate level of unpredictable returns. Especially, the estimation results of the QRTGARCH show that after the EMS conditional volatility for most of EMS currencies tends to grow more significantly in reaction to postive shock than negative shock at 0.1 quantile of returns distribution, so that as the unpredictable returns go down, the systematic effect of the EMS on asymmetry in volatility becomes more significant. Impressive as these results may be, the systematic effect can vary with levels of unpredictable returns. [F31, C22, or C51]

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://taylorandfrancis.metapress.com/link.asp?target=contribution&id=J773658344658307
File Format: text/html
File Function:
Download Restriction: Access to full text is restricted to subscribers.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info
Article provided by Korean International Economic Association in its journal International Economic Journal.

Volume (Year): 16 (2002)
Issue (Month): 1 (April)
Pages: 105-125
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:taf:intecj:v:16:y:2002:i:1:p:105-125

Contact details of provider:
Web page: http://taylorandfrancis.metapress.com/link.asp?id=110801

Order Information:
Web: http://www.tandf.co.uk/journals/subscription.html

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords:

Other versions of this item:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Kearney, Colm & Patton, Andrew J, 2000. "Multivariate GARCH Modeling of Exchange Rate Volatility Transmission in the European Monetary System," The Financial Review, Eastern Finance Association, vol. 35(1), pages 29-48, February.
  2. repec:cup:etheor:v:12:y:1996:i:5:p:793-813 is not listed on IDEAS
  3. Schwert, G William, 1990. "Stock Volatility and the Crash of '87," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 3(1), pages 77-102. [Downloadable!] (restricted)
    Other versions:
  4. Vlaar, Peter J G & Palm, Franz C, 1993. "The Message in Weekly Exchange Rates in the European Monetary System: Mean Reversion, Conditional Heteroscedasticity, and Jumps," Journal of Business & Economic Statistics, American Statistical Association, vol. 11(3), pages 351-60, July.
  5. Pagan, Adrian R. & Schwert, G. William, 1990. "Alternative models for conditional stock volatility," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 267-290. [Downloadable!] (restricted)
    Other versions:
  6. Engle, Robert F & Ng, Victor K, 1993. " Measuring and Testing the Impact of News on Volatility," Journal of Finance, American Finance Association, vol. 48(5), pages 1749-78, December. [Downloadable!] (restricted)
    Other versions:
  7. Krugman, Paul R, 1991. "Target Zones and Exchange Rate Dynamics," The Quarterly Journal of Economics, MIT Press, vol. 106(3), pages 669-82, August. [Downloadable!] (restricted)
    Other versions:
  8. Koenker, Roger & Zhao, Quanshui, 1996. "Conditional Quantile Estimation and Inference for Arch Models," Econometric Theory, Cambridge University Press, vol. 12(05), pages 793-813, December. [Downloadable!]
  9. Koenker, Roger & Park, Beum J., 1996. "An interior point algorithm for nonlinear quantile regression," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 265-283. [Downloadable!] (restricted)
  10. Zakoian, Jean-Michel, 1994. "Threshold heteroskedastic models," Journal of Economic Dynamics and Control, Elsevier, vol. 18(5), pages 931-955, September. [Downloadable!] (restricted)
  11. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January. [Downloadable!] (restricted)
  12. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-70, March. [Downloadable!] (restricted)
  13. Bollerslev, Tim, 1987. "A Conditionally Heteroskedastic Time Series Model for Speculative Prices and Rates of Return," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 542-47, August. [Downloadable!] (restricted)
  14. Tim Bollerslev & Jeffrey Wooldridge, 1992. "Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances," Econometric Reviews, Taylor and Francis Journals, vol. 11(2), pages 143-172. [Downloadable!] (restricted)
  15. Rabemananjara, R & Zakoian, J M, 1993. "Threshold Arch Models and Asymmetries in Volatility," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(1), pages 31-49, Jan.-Marc. [Downloadable!] (restricted)
  16. Diebold, F X & Pauly, P, 1988. "Has the EMS Reduced Member-Country Exchange Rate Volatility?," Empirical Economics, Springer, vol. 13(2), pages 81-102.
  17. Bollerslev, Tim, 1990. "Modelling the Coherence in Short-run Nominal Exchange Rates: A Multivariate Generalized ARCH Model," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 498-505, August. [Downloadable!] (restricted)
  18. Kees G. Koedijk & Philip A. Stork & Casper G. De Vries, 1998. "An EMS target zone model in discrete time," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 13(1), pages 31-48. [Downloadable!]
  19. Antoniou, Antonios & Garrett, Ian & Priestley, Richard, 1998. "Calculating the equity cost of capital using the APT: the impact of the ERM," Journal of International Money and Finance, Elsevier, vol. 17(6), pages 949-965, December. [Downloadable!] (restricted)
  20. Jorion, Philippe, 1995. " Predicting Volatility in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 50(2), pages 507-28, June. [Downloadable!] (restricted)
Full references

Statistics
Access and download statistics

Did you know? No RePEc service, like IDEAS, charges for the use or the display of bibliographic data.

This page was last updated on 2009-12-10.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.