Advanced Search
MyIDEAS: Login to save this article or follow this journal

Volatility transmission patterns and terrorist attacks

Contents:

Author Info

  • Helena Chulia
  • Francisco Climent
  • Pilar Soriano
  • Hipolit Torro

Abstract

The objective of this study is to analyse volatility transmission between the US and Eurozone stock markets considering the financial market responses to the September 11, March 11 and July 7 terrorist attacks. In order to do this, we use a multivariate GARCH model and take into account the asymmetric volatility phenomenon, the non-synchronous trading problem and the turmoil periods themselves. Moreover, a graphical analysis of the Asymmetric Volatility Impulse-Response Functions (AVIRF) is introduced, which takes into consideration the financial market responses to the terrorist attacks. Results suggest that there is bidirectional and asymmetric volatility transmission and show the different impacts that terrorist attacks had on both markets.

Download Info

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://www.tandfonline.com/doi/abs/10.1080/14697680802637882
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.

Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Quantitative Finance.

Volume (Year): 9 (2009)
Issue (Month): 5 ()
Pages: 607-619

as in new window
Handle: RePEc:taf:quantf:v:9:y:2009:i:5:p:607-619

Contact details of provider:
Web page: http://www.tandfonline.com/RQUF20

Order Information:
Web: http://www.tandfonline.com/pricing/journal/RQUF20

Related research

Keywords: Volatility modelling; International finance; International asset pricing; GARCH models; Multivariate volatility; Risk management;

Other versions of this item:

Find related papers by JEL classification:

References

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. Scott Blunk & David Clark & James McGibany, 2006. "Evaluating the long-run impacts of the 9/11 terrorist attacks on US domestic airline travel," Applied Economics, Taylor & Francis Journals, vol. 38(4), pages 363-370.
  2. Chen, Andrew H. & Siems, Thomas F., 2004. "The effects of terrorism on global capital markets," European Journal of Political Economy, Elsevier, vol. 20(2), pages 349-366, June.
  3. Brooks, C. & Henry, O.T., 1999. "Linear and Non-Linear Transmission of Equity Return Volatility: Evidence From the US, Japan, and Australia," Department of Economics - Working Papers Series 676, The University of Melbourne.
  4. Hamao, Yasushi & Masulis, Ronald W & Ng, Victor, 1990. "Correlations in Price Changes and Volatility across International Stock Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 281-307.
  5. Jon Wongswan, 2003. "Transmission of information across international equity markets," International Finance Discussion Papers, Board of Governors of the Federal Reserve System (U.S.) 759, Board of Governors of the Federal Reserve System (U.S.).
  6. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(01), pages 122-150, February.
  7. Mun, Kyung-Chun, 2005. "Contagion and impulse response of international stock markets around the 9-11 terrorist attacks," Global Finance Journal, Elsevier, vol. 16(1), pages 48-68, August.
  8. Darbar, Salim M & Deb, Partha, 1997. "Co-movements in International Equity Markets," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(3), pages 305-22, Fall.
  9. Mark T. Hon & Jack Strauss & Soo-Keong Yong, 2004. "Contagion in financial markets after September 11: myth or reality?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 27(1), pages 95-114.
  10. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, Econometric Society, vol. 49(4), pages 1057-72, June.
  11. Koutmos, Gregory & Booth, G Geoffrey, 1995. "Asymmetric volatility transmission in international stock markets," Journal of International Money and Finance, Elsevier, vol. 14(6), pages 747-762, December.
  12. Karolyi, G Andrew & Stulz, Rene M, 1996. " Why Do Markets Move Together? An Investigation of U.S.-Japan Stock Return Comovements," Journal of Finance, American Finance Association, vol. 51(3), pages 951-86, July.
  13. Lawrence R. Glosten & Ravi Jagannathan & David E. Runkle, 1993. "On the relation between the expected value and the volatility of the nominal excess return on stocks," Staff Report, Federal Reserve Bank of Minneapolis 157, Federal Reserve Bank of Minneapolis.
  14. François Longin, 2001. "Extreme Correlation of International Equity Markets," Journal of Finance, American Finance Association, vol. 56(2), pages 649-676, 04.
  15. Karolyi, G Andrew, 1995. "A Multivariate GARCH Model of International Transmissions of Stock Returns and Volatility: The Case of the United States and Canada," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 13(1), pages 11-25, January.
  16. Taufiq Choudhry, 2005. "September 11 and time-varying beta of United States companies," Applied Financial Economics, Taylor & Francis Journals, vol. 15(17), pages 1227-1242.
  17. Abadie, Alberto & Dermisi, Sofia, 2008. "Is Terrorism Eroding Agglomeration Economies in Central Business Districts? Lessons from the Office Real Estate Market in Downtown Chicago," Working Paper Series rwp08-019, Harvard University, John F. Kennedy School of Government.
  18. 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, Eastern Finance Association, vol. 35(1), pages 29-48, February.
  19. Bera, Anil K. & Kim, Sangwhan, 2002. "Testing constancy of correlation and other specifications of the BGARCH model with an application to international equity returns," Journal of Empirical Finance, Elsevier, Elsevier, vol. 9(2), pages 171-195, March.
  20. Kroner, Kenneth F & Ng, Victor K, 1998. "Modeling Asymmetric Comovements of Asset Returns," Review of Financial Studies, Society for Financial Studies, vol. 11(4), pages 817-44.
  21. repec:cup:etheor:v:11:y:1995:i:1:p:122-50 is not listed on IDEAS
  22. Lin, Wen-Ling, 1997. "Impulse Response Function for Conditional Volatility in GARCH Models," Journal of Business & Economic Statistics, American Statistical Association, American Statistical Association, vol. 15(1), pages 15-25, January.
  23. Martens, Martin & Poon, Ser-Huang, 2001. "Returns synchronization and daily correlation dynamics between international stock markets," Journal of Banking & Finance, Elsevier, vol. 25(10), pages 1805-1827, October.
  24. Ramchand, Latha & Susmel, Raul, 1998. "Volatility and cross correlation across major stock markets," Journal of Empirical Finance, Elsevier, Elsevier, vol. 5(4), pages 397-416, October.
  25. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-72, August.
Full references (including those not matched with items on IDEAS)

Citations

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

Cited by:
  1. Villalba Padilla, Fátima Irina & Flores-Ortega, Miguel, 2014. "Análisis de la volatilidad del índice principal del mercado bursátil mexicano, del índice de riesgo país y de la mezcla mexicana de exportación mediante un modelo GARCH trivariado asimétrico || Volati," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 17(1), pages 3-22, June.

Lists

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

Statistics

Access and download statistics

Corrections

When requesting a correction, please mention this item's handle: RePEc:taf:quantf:v:9:y:2009:i:5:p:607-619. 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: (Michael McNulty).

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.