Abstract: Using a unique sample of 425 bank mergers in the US announced between 2000 and 2008 this paper provides clear evidence supporting the collusion and productive efficiency hypotheses. By analyzing 425 bank mergers and a total of 1112 possible rivals, our analysis shows that the majority...

In this paper, the optimality of bivariate copula-VaR models and the usefulness of several goodness-of-fit tests for copulas are analysed in a comprehensive empirical study using data for stocks, commodities and FX futures. In particular, I try to answer two questions: (1) Which parametric...

The purpose of this paper is to present a comprehensive Monte Carlo simulation study on the performance of minimum-distance (MD) and maximum-likelihood (ML) estimators for bivariate parametric copulae. In particular, I consider Cramer-von-Mises-, Kolmogorov-Smirnov- and L1-variants of the...

In this paper, a new methodical framework that combines elements of event studies and copula methodology is proposed in the context of the analysis of bank contagion. Furthermore, to the best knowledge of the author, this paper is the first one to analyse changes in the dependence structure of...

We characterize co-movements in investor attention by modeling multivariate internet search volume data. Using a variety of copula models that can capture both asymmetric and skewed dependence, we find empirical evidence of strong non-linear and asymmetric dependence in the attention investors...

We analyze the effect of bank capital, regulation and deposit insurance on the global systemic risk of international banks during the period of 1999-2012. Using a comprehensive panel of large global banks, we identify factors that influence the build-up of systemic risk worldwide across a large...

We show that the information on derivatives usage and securitization activities of U.S. banks as disclosed in their pre-crisis 10-K filings predicts their systemic equity risk during the financial crisis. Investors predominantly exited stocks of banks that had previously disclosed a more...

We propose two new tests for detecting clustering in multivariate Value-at-Risk (VaR) forecasts. First, we consider CUSUM-tests to detect first-order instationarities in the matrix of VaR-violations. Second, we propose x²-tests for detecting cross-sectional and serial dependence in the...

We show that commonality in liquidity is priced in both the cross-section and time-series of credit default swap (CDS) premia. Protection buyers earn a statistically significant and economically important discount for bearing the risk of individual CDS illiquidity co-moving with CDS market...

In this paper, we compare the Constant Conditional Correlation (CCC) model to its dynamic counterpart, the Dynamic Conditional Correlation (DCC) model with respect to its accuracy for forecasting the Value-at-Risk of financial portfolios. Additionally, we modify these benchmark models by...