Heterogenous banking supervision and regulation is often considered as the most important impediment for Pan-European Bank mergers. In this paper we identify other more fundamental reasons for a limited degree of cross-country integration in retail banking. We argue that the distribution of...

Money markets have two functions, the allocation of liquidity and the processing of information. We develop a model that allows us to evaluate the efficiency of different money market derivatives regarding these two objectives. We assume that due to its size, a large bank receives a more precise...

This paper studies optimal monetary policy responses in an economy featuring sectorial heterogeneity in the frequency of price adjustments. It shows that a central bank facing heterogeneous nominal rigidities is more likely to behave less aggressively than in a fully sticky economy. Hence, the...

In this paper, we investigate the ability of a modified RBC model to reproduce asymmetries observed for macroeconomic variables over the business cycle. In order to replicate the empirical skewness of major U.S. macroeconomic variables, we introduce a capacity constraint into an otherwise...

This paper develops a theoretical model of dynamic decision-making of a monetary policy committee with heterogeneous members. It investigates the optimal transparency, and the optimal way of transmitting information of committees, by analysing the effects different communication strategies have...

First and higher order digits in data sets of natural and socio-economic processes often follow a distribution called Benford's law. This phenomenon has been used in many business and scientific applications, especially in fraud detection for financial data. In this paper, we analyse whether...

Instruments for credit risk transfer arise endogenously from and interact with optimizing behavior of their users. This is particularly true with credit derivatives which are usually OTC contracts between banks as buyers and sellers of credit risk. Recent literature, however, does not account...

This paper proposes a rating methodology that is based on a non-linear classification method, the support vector machine, and a non-parametric technique for mapping rating scores into probabilities of default. We give an introduction to underlying statistical models and represent the results of...

Usually, seasonal adjustment is based on time series models which decompose an unadjusted series into the sum or the product of four unobservable components (trendcycle, seasonal, working-day and irregular components). In the case of clearly weatherdependent output in the west German...