The Dark Side of Global Integration: Increasing Tail Dependence

Michel Beine, Antonio Cosma () and Robert Vermeulen

DEM Discussion Paper Series from Department of Economics at the University of Luxembourg

Abstract: We measure stock market co-exeedances using the methodology of Cappiello, Gerard and Manganelli (2005, ECB Working Paper 501). This method is based on quantile regressions and enables us to measure comovement at each point of the return distribution. First, we construct an annual co-exeedance probability for the 5, 10, 25, 75, 90 and 95 percent return quantiles using daily data from 1974-2006. Next, we explain these probabilities in a panel gravity model framework. This analysis shows that macroeconomic events asymmetrically in uence comovement of upper and lower tail returns. Financial liberalization has a positive impact on comovement across the return distribution, but its e ect is strongest on the left tail quantiles. Trade competition weakly impact the 5%, 10% and 95% quantiles, but has a stronger in uence on the other quantiles. Industrial dissimilarity has a strong e ect on both tails, but not on the 25% and 75% quantiles. Exchange rate volatilities have a strong e ect only on the 5% and 10% quantiles. However, the introduction of the euro has its most pronounced e ect on upper quantile comovement.

JEL-codes: F15 F36 F41 G15 (search for similar items in EconPapers)
Date: 2008
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (16)

Downloads: (external link)
http://wwwfr.uni.lu/content/download/16894/214210/ ... al%20Integration.pdf (application/pdf)

Related works:
Journal Article: The dark side of global integration: Increasing tail dependence (2010)
Working Paper: The Dark Side of Global Integration: Increasing Tail Dependence (2009)
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:luc:wpaper:08-03

Access Statistics for this paper

More papers in DEM Discussion Paper Series from Department of Economics at the University of Luxembourg Contact information at EDIRC.
Bibliographic data for series maintained by Marina Legrand ().