Dynamic Conditional Correlation Analysis of Stock Market Contagion: Evidence from the 2007-2010 Financial Crises

Authors

  • Zouheir Mighri Sousse University
  • Faysal Mansouri University of Sousse

Abstract

This research examines the time-varying conditional correlations to the daily stock index returns. We use a dynamic conditional correlation (DCC) multivariate GARCH model in order to capture potential contagion effects between US and major developed and emerging stock markets during the 2007-2010 major financial crisis. Empirical results show substantial evidence of significant increase in conditional correlation or contagion as well as herding behavior during crisis periods. This result contrasts with the “no contagion” finding reached by Forbes and Rigobon (2002). Keywords: Dynamic correlation; DCC-GARCH; contagion; financial crisis; stock markets. JEL Classifications: C58

Downloads

Download data is not yet available.

Author Biography

Zouheir Mighri, Sousse University

Quantitative Methods

Downloads

Published

2013-05-26

How to Cite

Mighri, Z., & Mansouri, F. (2013). Dynamic Conditional Correlation Analysis of Stock Market Contagion: Evidence from the 2007-2010 Financial Crises. International Journal of Economics and Financial Issues, 3(3), 637–661. Retrieved from https://econjournals.com./index.php/ijefi/article/view/390

Issue

Section

Articles
Views
  • Abstract 249
  • PDF 430