IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

GDP Growth and the Interdependency of Volatility Spillovers

  • Karunanayake, Indika
  • Valadkhani, Abbas
  • O’Brien, Martin

This paper examines the dynamics of cross-country GDP volatility transmission and their conditional correlations. We use quarterly data (1961-2008) for Australia, Canada, the UK and the US to construct and estimate a multivariate generalised autoregressive conditional heteroskedasticity (MGARCH) model. According to the results from the mean growth equations, we identified significant cross-country GDP growth spillover among these countries. Furthermore, the growth volatility between the US and Canada indicates the highest conditional correlation. As expected, we also found that the shock influences are mainly exerted by the larger economies onto the smaller economies.

If you experience problems downloading a file, check if you have the proper application to view it first. 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://mpra.ub.uni-muenchen.de/50398/1/MPRA_paper_50398.pdf
File Function: original version
Download Restriction: no

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 50398.

as
in new window

Length:
Date of creation: 2012
Date of revision:
Publication status: Published in Australasian Accounting Business and Finance Journal 1.6(0212): pp. 83-96
Handle: RePEc:pra:mprapa:50398
Contact details of provider: Postal: Schackstr. 4, D-80539 Munich, Germany
Phone: +49-(0)89-2180-2219
Fax: +49-(0)89-2180-3900
Web page: http://mpra.ub.uni-muenchen.de

More information through EDIRC

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.:

as in new window
  1. Pain, Nigel, 1997. "Continental Drift: European Integration and the Location of U.K. Foreign Direct Investment," The Manchester School of Economic & Social Studies, University of Manchester, vol. 65(0), pages 94-117, Supplemen.
  2. Eun Ahn & Jin Man Lee, 2006. "Volatility relationship between stock performance and real output," Applied Financial Economics, Taylor & Francis Journals, vol. 16(11), pages 777-784.
  3. Olivier Blanchard & John Simon, 2001. "The Long and Large Decline in U.S. Output Volatility," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 32(1), pages 135-174.
  4. Massimiliano Caporin & Michael McAleer, 2010. "A Scientific Classification Of Volatility Models," Journal of Economic Surveys, Wiley Blackwell, vol. 24(1), pages 192-195, 02.
  5. de Goeij, P. C. & Marquering, W., 2004. "Modeling the conditional covariance between stock and bond returns : A multivariate GARCH approach," Other publications TiSEM 94fe5ada-715a-4339-b94c-f, Tilburg University, School of Economics and Management.
  6. Francis X. Diebold & Kamil Yilmaz, 2008. "Macroeconomic Volatility and Stock Market Volatility, World-Wide," PIER Working Paper Archive 08-031, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  7. BAUWENS, Luc & LAURENT, Sébastien & ROMBOUTS, Jeroen, 2003. "Multivariate GARCH models: a survey," CORE Discussion Papers 2003031, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  8. James H. Stock & Mark W. Watson, 2005. "Understanding Changes In International Business Cycle Dynamics," Journal of the European Economic Association, MIT Press, vol. 3(5), pages 968-1006, 09.
  9. Denise Osborn & Pedro Perez & Michael Artis, 2004. "The International Business Cycle In A Changing World: Volatility And The Propagation Of Shocks," Royal Economic Society Annual Conference 2004 138, Royal Economic Society.
  10. Bollerslev, Tim & Chou, Ray Y. & Kroner, Kenneth F., 1992. "ARCH modeling in finance : A review of the theory and empirical evidence," Journal of Econometrics, Elsevier, vol. 52(1-2), pages 5-59.
  11. Artis, Michael J & Kontolemis, Zenon G & Osborn, Denise R, 1997. "Business Cycles for G7 and European Countries," The Journal of Business, University of Chicago Press, vol. 70(2), pages 249-79, April.
  12. Ray Barell & Sylvia Gottschalk, 2004. "The Volatility of the Output Gap in the G7," National Institute Economic Review, National Institute of Economic and Social Research, vol. 188(1), pages 100-107, April.
  13. Boone, Laurence & Hall, Stephen G, 1999. "Stylized Facts of the Business Cycle Revisited: A Structural Modelling Approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 4(3), pages 253-68, July.
  14. Ray Barrell & Sylvia Gottschalk, 2004. "The Volatility Of The Output Gap In The G7," Royal Economic Society Annual Conference 2004 136, Royal Economic Society.
  15. M. Ayhan Kose & Christopher Otrok & Charles H. Whiteman, 2003. "International Business Cycles: World, Region, and Country-Specific Factors," American Economic Review, American Economic Association, vol. 93(4), pages 1216-1239, September.
  16. Glenn Otto & Graham Voss & Luke Willard, 2001. "Understanding OECD Output Correlations," RBA Research Discussion Papers rdp2001-05, Reserve Bank of Australia.
  17. Ernst R. Berndt & Bronwyn H. Hall & Robert E. Hall & Jerry A. Hausman, 1974. "Estimation and Inference in Nonlinear Structural Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 3, number 4, pages 653-665 National Bureau of Economic Research, Inc.
  18. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-31, February.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:50398. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.