Elsevier

Economic Systems

Volume 29, Issue 3, September 2005, Pages 344-362
Economic Systems

Financial contagion vulnerability and resistance: A comparison of European stock markets

https://doi.org/10.1016/j.ecosys.2005.05.003Get rights and content

Abstract

This paper investigates contagion to European stock markets associated with seven big financial shocks between 1997 and 2002. We apply methods using heteroscedasticity-adjusted correlation coefficients to discriminate between contagion, interdependence and breaks in stock markets relationships. The analysis focuses on a comparison between developed Western European markets and emerging stock markets in Central and Eastern Europe. We find modest evidence of significant instabilities in cross-market linkages after the crises. The Central and Eastern European stock markets are not more vulnerable to contagion than Western European markets.

Introduction

There has been great interest in empirical and analytical studies on cross-country and cross-market transmission of financial crises over the last decade. Most of the empirical work has been undertaken to measure the extent of financial spillovers to mature and emerging markets and to find channels of transmission of shocks to foreign countries. Earlier studies have often focused on contagion to emerging stock markets in South America and Asia due to the crises in the U.S. in 1987, Mexico in 1994, East Asia in 1997 and Russia in 1998.1

Recently, the discussion regarding the enlargement of the European Union (EU) shifted attention to transition countries in Central and Eastern Europe (CEE). However, until now very few empirical studies have concentrated on contagion to CEE markets. Darvas and Szapáry (2000) provide evidence that spillovers from the Russian crisis to CEE were due to shifts in market sentiments and Krzak (1998) argues that the CEE countries have been hit by the Russian crash most heavily through trade rather than through any financial linkages. Gelos and Sahay (2001) outline that the behavior of the emerging CEE markets after the Russian crisis was similar to that of their counterparts in Asia and Latin America during the Asian crisis. Furthermore, they observe increasing correlations across CEE stock markets during the 1994–1999 period. Fries et al. (1999) find that CEE stock markets were generally not as vulnerable to financial contagion during the Asian and Russian crashes as the less developed stock markets from the former Soviet Union.

Contagion has been commonly defined as a transmission of shocks from a crisis-country to other countries, which can be observed through co-movements of different financial indices on multiple markets or rising probabilities of default. In this paper, we apply the definition put forward by Forbes and Rigobon (2002) and distinguish between common shocks and contagion.2 Accordingly, contagion requires a change in the structure of stock market linkages. The increase in cross-market linkages during the crisis must be significant to be called contagion, not just interdependence. Contagion is then an excessive transmission of shocks from one crisis stock market to others, beyond any idiosyncratic disturbances and fundamental links among them. Fundamental financial links constitute interdependence.

Many empirical methods measuring contagion are based on cross-market correlation coefficient estimates.3 Forbes and Rigobon (2002) demonstrate that the rise in correlation does not necessarily imply contagion as defined above. The authors propose a test to distinguish between contagion and co-movement of stock index returns driven by bilateral linkages. Their most striking empirical result from using this procedure is that in the majority of countries one cannot observe contagion during the 1987 U.S. crash, the 1994 Mexican collapse and the 1997 Asian crisis. Gelos and Sahay (2001) also apply a simplified version of this methodology and find no contagion from the Czech Republic, Asia and Russia to CEE stock markets. The method is attractive because it does not assume any specific structure of financial spillovers and allows for a straightforward interpretation of empirical results on cross-market interdependence. Furthermore, some recent testing methodologies extend or are based on the Forbes-Rigobon approach (e.g., Corsetti et al., in press, Bekaert et al., 2005, Rigobon, 2003).4

Although some new definitions and approaches to test contagion have appeared in the literature (for example, Chan-Lau et al., 2004, Bae et al., 2003), we concentrate on a correlation-based analysis. As noted by Billio and Pelizzon (2003) and Forbes and Rigobon (2002), this concept suits better than other approaches the issues of international diversification, the role of international institutions and bail-out funds, as well as propagation mechanisms. We utilize the methodologies introduced by Forbes and Rigobon (2002) and Corsetti et al. (in press) and extend their empirical investigation in three directions. First, a different timeframe to explore new crises is used. To our best knowledge, no investigation has focused on spillover effects of new financial crashes to transition countries in CEE. Studying these crises provides new evidence on financial spillovers to emerging stock markets.

Second, it is of considerable interest to investors and financial market regulators to examine how vulnerable the European stock markets are to different financial shocks. Therefore, in contrast to most previous studies related to contagion, we provide additional evidence on breaks in linkages between crisis and non-crisis capital markets (Billio and Pelizzon, 2003). Third, our investigation focuses on a comparison between emerging CEE and mature Western European stock markets. The process of integration between the fast developing and well-developed markets in Europe is an example of successful financial liberalization in terms of macroeconomic and institutional fundamentals. Thus, the emerging stock markets appear as an interesting option for diversification of international capital portfolios (Chen et al., 2002, Bekaert and Harvey, 2002, Bekaert and Harvey, 2003). Our empirical results offer new evidence of whether emerging stock markets in Europe are more vulnerable to financial crises than well-developed European markets and which recent crises were most contagious.

In the next section we describe the methods applied to investigate the existence of contagion following Forbes and Rigobon (2002) and Corsetti et al. (in press). In Section 3 we present the data and a method to identify the crises. Section 4 contains our empirical results and Section 5 concludes.

Section snippets

Methodology

Forbes and Rigobon (2002) and Corsetti et al. (in press) propose alternative models of inter-market dependencies that allow for constructing measures of correlation between stock returns on the crisis and calm stock market during crisis periods. These correlation measures, adjusted for volatile periods, are functions depending on the specification of the proposed models. Forbes and Rigobon consider a model where stock returns on the crisis market, yt, are exogenous and influence returns on the

Data and identification of crises

In our empirical analysis we utilize time series returns from 17 stock markets, calculated in both U.S. dollars and local currencies. We concentrate on the four largest markets in CEE (Czech Republic, Hungary, Poland and Russia) and on selected West European markets, which are members of the EU. They range from the biggest and most developed financial centers (France, Germany and United Kingdom) to less developed stock markets (Greece, Ireland, Portugal and Spain). The latter four represent the

Empirical results

In this section, we compare correlation coefficients between stock returns of crisis countries and selected European stock markets during stable and turmoil periods. This part of our investigation is based on the methodology outlined in Section 2 and uses the crisis periods described in Section 3. The models of Forbes and Rigobon (2002), Corsetti et al. (in press), and additionally model (9) are employed to estimate the correlation coefficients among crisis and non-crisis stock markets.

Summary and conclusions

Forbes and Rigobon (2002) showed that higher stock return volatility on a crisis market induces higher correlation between this market and other non-crisis markets even when there is no shift in fundamental relationships between any of them (Ronn, 1998, Boyer et al., 1999, Loretan and English, 2000). They call such behavior of international stock market returns “interdependence”. In contrast, “contagion” is caused by a significant change in fundamental linkages between the crisis market and

Acknowledgements

We are grateful to Szymon Bielecki, Janusz Brzeszczyński, Harald Henke, Michał Rubaszek, Shauna Selvarajah, Aleksander Welfe as well as seminar participants at the Warsaw School of Economics, the University of Łódź, the European University Viadrina and the Second Annual European Economics and Finance Society Conference in Bologna who greatly improved the paper. Furthermore, we would like to thank two anonymous referees for their helpful comments on an earlier draft of the paper.

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