Abstract

We study the effects of contagion around the global financial crisis (GFC) and the Eurozone crisis periods using German and UK returns, each paired with returns from Central and East European (CEE) stock markets that recently joined the European Union (EU). Using bivariate vector error-correction models (VECMs) estimated in GARCH(1,1), we find strong support for long-run equilibrium conditions. This finding suggests that tests of tail dependence using differenced VARs may be mis-specified when long-run equilibrium conditions apply. Past news has more persistence on current volatility in CEE markets than in the developed markets. Past volatility has more persistence in the developed markets compared to the CEE markets. The T-V symmetrized Joe–Clayton (T-V SJC) copula outperforms all other copulas in goodness-of-fit, including, the T-V Gaussian and Student t copulas. This result is supported by a differenced VAR-GARCH (1,1). For CEE and developed market returns, no more than half of our market pairs exhibit significant increases in lower tail dependence, under the T-V SJC copula. Given the number of paired comparisons, the evidence on joint extreme dependence is weak. As such, CEE stock markets experienced little contagion effects during the GFC and Eurozone crisis periods, contrary to prior results. We find that the legal environment negatively impacts financial development, perhaps causing CEE and the EU markets to be isolated.

Highlights

  • Over the past two decades or so, academic researchers, practitioners and regulators have developed renewed interest in low-probability events associated with the dependence structure of asset returns

  • We argue that long-run conditions in the vector error-correction models (VECMs)-GARCH would limit divergence in pairs of market returns and lead to more reliable estimates of asymmetric dependence compared to the differenced VAR-GARCH

  • We suggest that this slow adjustment process contributes to the inability of our VECM-GARCH to outperform the differenced VAR-GARCH, in terms of our copula results

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Summary

Introduction

Over the past two decades or so, academic researchers, practitioners and regulators have developed renewed interest in low-probability events associated with the dependence structure of asset returns. We predict that the long-run equilibrium properties of the VECM-GARCH will constrain price movements, causing more dependence between pairs of markets, compared to the differenced VAR-GARCH (1,1).. We predict that the VECM-GARCH will exhibit more extreme dependence compared to the differenced VAR-GARCH This is because, under the error-correction specification, the variables will not move too far apart when long-run equilibrium conditions apply (Engle and Granger 1987). Under VECM-GARCH, we find strong support for long-run equilibrium conditions, especially for pairs of CEE and UK market returns, during the Eurozone crisis period.. For CEE and German returns, no more than five market pairs exhibit significant increases in lower tail dependence during the Eurozone crisis period (compared to the GFC period).

Related prior work
Methodology
Copula estimates for bivariate distributions
Student t copula
Gaussian copula
Clayton copula
Data set
Descriptive statistics and unit root tests
Cointegration results of CEE and developed markets
VECM‐GARCH of CEE and developed markets
Non‐crisis period and CEE and developed markets
Global financial crisis and CEE and developed markets
Eurozone crisis period and CEE and developed markets
Variance equations
Coefficient of variance equations for CEE and developed markets
Comparison across VAR specifications and correlated conditional variances
Testing the dependence structure using copulas
Copula estimates using CEE and German returns
Goodness‐of‐fit of copulas for CEE and German returns
Degrees of freedom and T‐V Student t copula
The T‐V Student t copula and the non‐crisis and crisis periods
T‐V SJC copula and sub‐period performance
T‐V SJC copula and change in dependence across sub‐periods
Copula estimates using CEE and UK returns
Goodness‐of‐fit of copulas based on CEE and UK returns
Additional tests and discussion
BEKK estimation
Conclusion
Findings
Compliance with ethical standards
Full Text
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