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 study the effects of innovations in financial technology by banks on local competition for deposits and credit supply. To identify the causal effect of financial technology on deposits and lending, we exploit the geographic heterogeneity in human capital available to bank headquarters to...

We show that liquidity tail risk in credit default swap (CDS) spreads is time-varying and explains variation in CDS spreads. We capture the liquidity tail risk of a CDS contract written on a firm by estimating the tail dependence, i.e., the asymptotic probability of a joint surge in the bid-ask...

We analyze the effect of bank capital, regulation, and supervision on the annual stock performance of global banks during the period of 1999-2012. We study a large comprehensive panel of international banks and find that higher Tier 1 capital decreases a bank's stock performance over the whole...

This paper proposes the use of outlier detection methods from robust statistics and copula goodness-of-fit tests to identify components of mixture copulas. We first consider simulated data samples in which the true dependence structure is given by a mixture of two parametric copulas: one copula...

In recent history, financial markets worldwide experienced severe turmoil due to the subprime crisis originating from the practice of US mortgage banks to securitise loans given especially to subprime borrowers. In the same crisis, several distressed banks were bailed out by states with even...

We propose to forecast the Value-at-Risk of bivariate portfolios using copulas which are calibrated on the basis of nonparametric sample estimates of the coefficient of lower tail dependence. We compare our proposed method to a conventional copula-GARCH model where the parameter of a Clayton...