The global financial system is highly complex, with cross-border interconnections and interdependencies. In this highly interconnected environment, local financial shocks and events can be easily amplified and turned into global events. This paper analyzes the dependencies among nearly 4,000 stocks from 15 countries. The stock returns are normalized by the estimated volatility using a GARCH framework, integrated with a robust regression process to estimate pairwise statistically significant relationships between stocks from different countries. The estimation results are used as a measure of statistical interconnectedness, and to derive network representations, both by country and by sector. We find that the Energy, Materials, and Financial sectors play a leading role in connecting markets, and that this role has increased over time for the Energy and Materials sectors. Our results thus confirm the role of global sectoral factors in stock market dependencies. Moreover, our results also show that the dependencies are rather volatile and that heterogeneity among stocks is a non-negligible aspect of this volatility. The transmission mechanism between financial markets is thus not stable, but rather governed by both changes in volatility and changes in the stocks' contributions to the statistical interdependence across countries. (C) 2020 Elsevier Ltd. All rights reserved.
机构:
Catholic Univ Louvain, Louvain Finance, Voie Roman Pays 34, B-1348 Louvain La Neuve, BelgiumCatholic Univ Louvain, Louvain Finance, Voie Roman Pays 34, B-1348 Louvain La Neuve, Belgium
Candelon, Bertrand
Ferrara, Laurent
论文数: 0引用数: 0
h-index: 0
机构:
Univ Cote dAzur, SKEMA Business Sch, Paris, FranceCatholic Univ Louvain, Louvain Finance, Voie Roman Pays 34, B-1348 Louvain La Neuve, Belgium
Ferrara, Laurent
Joets, Marc
论文数: 0引用数: 0
h-index: 0
机构:
IESEG Sch Management, Paris, France
LEM CNRS 9221, Paris, France
EconomiX CNRS, Paris, FranceCatholic Univ Louvain, Louvain Finance, Voie Roman Pays 34, B-1348 Louvain La Neuve, Belgium
机构:
Bucharest Univ Econ Studies, Fac Int Business & Econ, Romana Sq 6, Bucharest, RomaniaBucharest Univ Econ Studies, Fac Int Business & Econ, Romana Sq 6, Bucharest, Romania
Paraschiv, Anca Mihaela
[J].
11TH INTERNATIONAL DAYS OF STATISTICS AND ECONOMICS,
2017,
: 497
-
506