European equity market integration and joint relationship of conditional volatility and correlations
Abstract
We analyse the integration patterns of seven leading European stock markets from 1990 to 2013 using daily data and mismatched monthly macroeconomic data. To study the mismatch of data frequencies we use the DCC-MIDAS (Dynamic Conditional Correlation – Mixed Data Sampling) technique developed by Colacito, Engle and Ghysels (Journal of Econometrics, 2011). We benchmark European integration patterns against the German stock market. The reported integration patterns show a clear divide between large and (relatively) small equity markets' short run and long run return correlations: the small markets display higher short run European convergences than the large markets and vice versa. The across-the-board divergence from Greek risk, during the crisis period, is the most unambiguous conclusion of our study. During this period, cross-country joint relationships of conditional variances and return correlations – a ‘convergence of risks’ resulting in global/regional contagious spillovers – are typically positive. Only exceptions are the German stock market's joint relationships.
DOI
10.1016/j.jimonfin.2016.10.007
Publication Date
2016-11-14
Publication Title
Journal of International Money and Finance
Publisher
Elsevier BV
ISSN
0261-5606
Embargo Period
2024-11-19
Recommended Citation
Virk, N., & Javed, F. (2016) 'European equity market integration and joint relationship of conditional volatility and correlations', Journal of International Money and Finance, . Elsevier BV: Available at: https://doi.org/10.1016/j.jimonfin.2016.10.007
