The development of ‘standards’ for the application of matching algorithms in empirical evaluation studies is still an outstanding goal. The first step of the matching procedure is the choice of an appropriate distance function. In empirical evaluation situations often the sample sizes are small. Moreover, they consist of variables with different scale levels which have to be considered explicitly in the matching process. A simulation is performed which is directed towards these empirical challenges and supplements former studies in this respect. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, two balancing scores (the propensity score and the index score) and the Mahalanobis distance are considered. Additionally, aggregated statistical distance functions not yet used for empirical evaluation are included. The matching outcomes are compared using non-parametric scale-specific tests for identical distributions of the characteristics in the treatment and the control groups. The simulation results show that, in small samples, aggregated statistical distance functions are the better choice for summarising similarities in differently scaled variables compared to the commonly used measures.

We use a compound option-based structural credit risk model to estimate banking crisis risk for the United States based on market data on bank stocks on a daily frequency. We contribute to the literature by providing separate information on short-term, long-term and total crisis risk instead of a single-maturity risk measure usually inferred by Merton-type models or barrier models. We estimate the model by applying the Duan (1994) maximum-likelihood approach. A strongly increasing total crisis risk estimated from early July 2007 onwards is driven mainly by short-term crisis risk. Banks that defaulted or were overtaken during the crisis have a considerably higher crisis risk (especially higher long-term risk) than banks that survived the crisis.

Real estate prices can deviate from their fundamental value due to rigid supply, heterogeneity in quality, and various market imperfections, which have two contrasting effects on bank stability. Higher prices increase the value of collateral and net wealth of borrowers and thus reduce the likelihood of credit defaults. In contrast, persistent deviations from fundamentals may foster the adverse selection of increasingly risky creditors by banks seeking to expand their loan portfolios, which increases bank distress probabilities. We test these hypotheses using unique data on real estate markets and banks in Germany. House price deviations contribute to bank instability, but nominal house price developments do not. This finding corroborates the importance of deviations from the fundamental value of real estate, rather than just price levels or changes alone, when assessing bank stability.

The study contributes to the development of ’standards’ for the application of matching algorithms in empirical evaluation studies. The focus is on the first step of the matching procedure, the choice of an appropriate distance function. Supplementary o most former studies, the simulation is strongly based on empirical evaluation ituations. This reality orientation induces the focus on small samples. Furthermore, ariables with different scale levels must be considered explicitly in the matching rocess. The choice of the analysed distance functions is determined by the results of former theoretical studies and recommendations in the empirical literature. Thus, in the simulation, two balancing scores (the propensity score and the index score) and the Mahalanobis distance are considered. Additionally, aggregated statistical distance functions not yet used for empirical evaluation are included. The matching outcomes are compared using non-parametrical scale-specific tests for identical distributions of the characteristics in the treatment and the control groups. The simulation results show that, in small samples, aggregated statistical distance functions are the better

choice for summarising similarities in differently scaled variables compared to the

commonly used measures.

The aim of this paper is to analyze whether the formally equal qualifications acquired during a subsidized vocational education induce equal employment opportunities compared to regular vocational training. Using replacement matching on the basis of a statistical distance function, we are able to control for selection effects resulting from different personal and profession-related characteristics, and thus, to identify an unbiased effect of the public support. Besides the ‘total effect’ of support, it is of special interest if the effect is stronger for subsidized youths in external training compared to persons in workplace-related training. The analysis is based on unique and very detailed data, the Youth Panel of the Halle Centre for Social Research (zsh).

The results show that young people who successfully completed a subsidized vocational education are disadvantaged regarding their employment opportunities even when controlling for personal and profession-related influences on the employment prospects. Besides a quantitative effect, the analysis shows that the graduates of subsidized training work in slightly worse (underqualified) and worse paid jobs than the adolescents in the reference group. The comparison of both types of subsidized vocational training, however, does not confirm the expected stronger effect for youths in external vocational education compared to workplace-related training.

We use a compound option-based structural credit risk model to infer a term structure of banking crisis risk from market data on bank stocks in daily frequency. Considering debt service payments with different maturities this term structure assigns a separate estimator for short- and long-term default risk to each maturity. Applying the Duan (1994) maximum likelihood approach, we find for Kazakhstan that the overall crisis probability was mainly driven by short-term risk, which increased from 25% in March 2007 to 80% in December 2008. Concurrently, the long-term default risk increased from 20% to only 25% during the same period.

Neglecting the existence of different technologies in banking can contaminate efficiency, market power, and other performance measures. By simultaneously estimating (i) technology regimes conditional on exogenous factors, (ii) efficiency conditional on risk management, and (iii) Lerner indices of German banks, we identify three distinct technology regimes: Public & Retail, Small & Specialized, and Universal & Relationship. System estimation at the regional level reveals that greater bank market power increases bank profitability but also fosters corporate defaults. Corporate defaults, in turn, lead to higher probabilities of bank distress, which supports the market power-fragility hypothesis.

We analyze cross-border contagion among European banks in the period from January 1994 to January 2003. We use a multinomial logit model to estimate, in a given country, the number of banks that experience a large shock on the same day (“coexceedances”) as a function of 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 distance to default of banks.We find evidence of significant cross-border contagion among large European banks, which is consistent with a tiered cross-border interbank structure. The results also suggest that contagion increased after the introduction of the euro.

German banks have experienced a merger wave since the early 1990s. However, the success of bank mergers remains a continuous matter of debate.This paper suggests a taxonomy to evaluate post-merger performance on the basis of cost and profit efficiency (CE and PE). I identify successful mergers as those that fulfill simultaneously two criteria. First, merged institutes must exhibit efficiency levels above the average of non-merging banks. Second, banks must exhibit efficiency changes between merger and evaluation year above efficiency changes of non-merging banks. I assess the post-merger performance up to 11 years after the mergers and relate it to the transfer of skills, the adequacy to merge distressed banks and the role of geographical distance. Roughly every second merger is a success in terms of either CE or PE. The margin of success in terms of CE is narrow, as efficiency differentials between merging and non-merging banks are around 1 and 2 percentage points. PE performance is slightly larger. More importantly, mergers boost in particular the change in PE, thus indicating persistent improvements of merging banks to improve the ability to generate profits.

In this paper we study interdependencies between corporate foreign investment and the capital structure of banks. By committing to invest predominantly at home, firms can reduce the credit default risk of their lending banks. Therefore, banks can refinance loans to a larger extent through deposits thereby reducing firms’ effective financing costs. Firms thus have an incentive to allocate resources inefficiently as they then save on financing costs. We argue that imposing minimum capital adequacy for banks can eliminate this incentive by putting a lower bound on financing costs. However, the Basel II framework is shown to miss this potential.