Cross-border Bank Contagion in Europe
ECB Working Paper, No. 662,
This paper analyses cross-border contagion in a sample of European banks from January 1994 to January 2003. We use a multinomial logit model to estimate the number of banks in a given country that experience a large shock on the same day (“coexceedances“) as a function of variables measuring common shocks and lagged coexceedances in other countries. Large shocks are measured by the bottom 95th percentile of the distribution of the daily percentage change in the distance to default of the bank. We find evidence in favour of significant cross-border contagion. We also find some evidence that since the introduction of the euro cross-border contagion may have increased. The results seem to be very robust to changes in the specification.
The integration of imperfect financial markets: Implications for business cycle volatility
Journal of Policy Modeling,
During the last two decades, the degree of openness of national financial systems has increased substantially. At the same time, asymmetries in information and other financial market frictions have remained prevalent. We study the implications of the opening up of national financial systems in the presence of financial market frictions for business cycle volatility. In our empirical analysis, we show that countries with more developed financial systems have lower business cycle volatility. Financial openness has no strong impact on business cycle volatility, in contrast. In our theoretical analysis, we study the implications of the opening up of national financial markets and of financial market frictions for business cycle volatility using a dynamic macroeconomic model of an open economy. We find that the implications of opening up national financial markets for business cycle volatility are largely unaffected by the presence of financial market frictions.
Measurement of Contagion in Banks' Equity Prices
Journal of International Money and Finance,
This paper uses the co-incidence of extreme shocks to banks’ risk to examine within-country and across country contagion among large EU banks. Banks’ risk is measured by the first difference of weekly distances to default and abnormal returns. Using Monte Carlo simulations, the paper examines whether the observed frequency of large shocks experienced by two or more banks simultaneously is consistent with the assumption of a multivariate normal or a student t distribution. Further, the paper proposes a simple metric, which is used to identify contagion from one bank to another and identify “systemically important” banks in the EU.