By: |
Eduard Baumohl (Institute of Economics and Management, University of Economics in Bratislava);
Evzen Kocenda (Institute of Economic Studies, Charles University);
Stefan Lyocsa (Institute of Economics and Management, University of Economics in Bratislava);
Tomas Vyrost (Institute of Economics and Management, University of Economics in Bratislava) |
Abstract: |
In our network analysis of 40 developed, emerging and frontier stock markets
during the 2006?2014 period, we describe and model volatility spillovers
during both the global financial crisis and tranquil periods. The resulting
market interconnectedness is depicted by fitting a spatial model incorporating
several exogenous characteristics. We confirm the presence of significant
temporal proximity effects between markets and somewhat weaker temporal
effects with regard to the US equity market ? volatility spillovers decrease
when markets are characterized by greater temporal proximity. Volatility
spillovers also present a high degree of interconnectedness, which is measured
by high spatial autocorrelation. This finding is confirmed by spatial
regression models showing that indirect effects are much stronger than direct
effects, i.e., market-related changes in “neighboring” markets (within a
network) affect volatility spillovers more than changes in the given market
alone. Our results also link spillovers of escalating magnitude with
increasing market size, market liquidity and economic openness. |
Keywords: |
volatility spillovers, stock markets, shock transmission, Granger causality network, spatial regression, financial crisis |
JEL: |
C31 C58 F01 G01 G15 |
Date: |
2016–05 |
URL: |
http://d.repec.org/n?u=RePEc:kyo:wpaper:941&r=fmk |