EconPapers    
Economics at your fingertips  
 

Volatility transmission patterns and terrorist attacks

Helena Chuliá, Francisco Climent (), Pilar Soriano and Hipolit Torro

Quantitative Finance, 2009, vol. 9, issue 5, 607-619

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.

Keywords: Volatility modelling; International finance; International asset pricing; GARCH models; Multivariate volatility; Risk management (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (15)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/14697680802637882 (text/html)
Access to full text is restricted to subscribers.

Related works:
Working Paper: VOLATILITY TRANSMISSION PATTERNS AND TERRORIST ATTACKS (2007) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:quantf:v:9:y:2009:i:5:p:607-619

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RQUF20

DOI: 10.1080/14697680802637882

Access Statistics for this article

Quantitative Finance is currently edited by Michael Dempster and Jim Gatheral

More articles in Quantitative Finance from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-22
Handle: RePEc:taf:quantf:v:9:y:2009:i:5:p:607-619