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! ]

Structural change and estimated persistence in the GARCH(1,1)-model

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Kramer, Walter
Azamo, Baudouin Tameze

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

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 file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/B6V84-4P18B35-F/2/2fd72f6e29b8a6acf9187822309d3dbf
File Format:
File Function:
Download Restriction: Full text for ScienceDirect subscribers only

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 Elsevier in its journal Economics Letters.

Volume (Year): 97 (2007)
Issue (Month): 1 (October)
Pages: 17-23
Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Handle: RePEc:eee:ecolet:v:97:y:2007:i:1:p:17-23

Contact details of provider:
Web page: http://www.elsevier.com/locate/ecolet

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

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. Francis Dieobold, 1986. "Modeling The persistence Of Conditional Variances: A Comment," Econometric Reviews, Taylor and Francis Journals, vol. 5(1), pages 51-56. [Downloadable!] (restricted)
  2. Markus Haas, 2004. "Mixed Normal Conditional Heteroskedasticity," Journal of Financial Econometrics, Oxford University Press, vol. 2(2), pages 211-250. [Downloadable!] (restricted)
  3. Lamoureux, Christopher G & Lastrapes, William D, 1990. "Persistence in Variance, Structural Change, and the GARCH Model," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(2), pages 225-34, April.
  4. Dueker, Michael J, 1997. "Markov Switching in GARCH Processes and Mean-Reverting Stock-Market Volatility," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(1), pages 26-34, January.
    Other versions:
  5. Klaassen, F., 1998. "Improving garch volatility forecasts," Discussion Paper 52, Tilburg University, Center for Economic Research. [Downloadable!]
  6. Cao, C Q & Tsay, R S, 1992. "Nonlinear Time-Series Analysis of Stock Volatilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S165-85, Suppl. De. [Downloadable!] (restricted)
  7. Ding, Zhuanxin & Granger, Clive W. J. & Engle, Robert F., 1993. "A long memory property of stock market returns and a new model," Journal of Empirical Finance, Elsevier, vol. 1(1), pages 83-106, June. [Downloadable!] (restricted)
    Other versions:
  8. Hamilton, James D. & Susmel, Raul, 1994. "Autoregressive conditional heteroskedasticity and changes in regime," Journal of Econometrics, Elsevier, vol. 64(1-2), pages 307-333. [Downloadable!] (restricted)
    Other versions:
  9. Bollerslev, Tim & Ole Mikkelsen, Hans, 1996. "Modeling and pricing long memory in stock market volatility," Journal of Econometrics, Elsevier, vol. 73(1), pages 151-184, July. [Downloadable!] (restricted)
  10. Breidt, F. Jay & Crato, Nuno & de Lima, Pedro, 1998. "The detection and estimation of long memory in stochastic volatility," Journal of Econometrics, Elsevier, vol. 83(1-2), pages 325-348. [Downloadable!] (restricted)
  11. Markus Haas, 2004. "A New Approach to Markov-Switching GARCH Models," Journal of Financial Econometrics, Oxford University Press, vol. 2(4), pages 493-530. [Downloadable!] (restricted)
  12. Franc Klaassen, 2002. "Improving GARCH volatility forecasts with regime-switching GARCH," Empirical Economics, Springer, vol. 27(2), pages 363-394. [Downloadable!] (restricted)
  13. Thomas Mikosch & Cătălin Stărică, 2004. "Nonstationarities in Financial Time Series, the Long-Range Dependence, and the IGARCH Effects," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 378-390, 01. [Downloadable!] (restricted)
  14. Francq, C. & Roussignol, M. & Zakoian, J.-M., 1998. "Conditional Heteroskedasticity Driven by Hidden Markov Chains," Papers 9845, Institut National de la Statistique et des Etudes Economiques-.
    Other versions:
  15. Jaesun Noh & Robert F. Engle & Alex Kane, 1994. "Forecasting Volatility and Option Prices of the S&P 500 Index," University of California at San Diego, Economics Working Paper Series 93-32r, Department of Economics, UC San Diego. [Downloadable!]
Full references

Cited by:
(explanations, 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. Walter Kraemer, 2008. "Long Memory with Markov-Switching GARCH," CESifo Working Paper Series CESifo Working Paper No. , CESifo GmbH. [Downloadable!]
  2. Prof. Dr. Walter Krämer, . "Long memory with Markov-Switching GARCH," Working Papers 6, Business and Social Statistics Department, University Dortmund, revised Oct 2006. [Downloadable!]
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 2008-8-11.

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.