The quiet life hypothesis in banking : evidence from German savings banks

The "quiet life hypothesis (QLH)" posits that banks enjoy the advantages of market power in terms of foregone revenues or cost savings. We suggest a unified approach to measure competition and efficiency simultaneously to test this hypothesis. We estimate bank-specific Lerner indices as measures of competition and test if cost and profit efficiency are negatively related to market power in the case of German savings banks.We find that both market power and average revenues declined among these banks between 1996 and 2006. While we find clear evidence supporting the QLH, estimated effects of the QLH are small from an economical perspective

Coding for Errors and Erasures in Random Network Coding

The problem of error-control in random linear network coding is considered. A ``noncoherent'' or ``channel oblivious'' model is assumed where neither transmitter nor receiver is assumed to have knowledge of the channel transfer characteristic. Motivated by the property that linear network coding is vector-space preserving, information transmission is modelled as the injection into the network of a basis for a vector space $V$ and the collection by the receiver of a basis for a vector space $U$. A metric on the projective geometry associated with the packet space is introduced, and it is shown that a minimum distance decoder for this metric achieves correct decoding if the dimension of the space $V \cap U$ is sufficiently large. If the dimension of each codeword is restricted to a fixed integer, the code forms a subset of a finite-field Grassmannian, or, equivalently, a subset of the vertices of the corresponding Grassmann graph. Sphere-packing and sphere-covering bounds as well as a generalization of the Singleton bound are provided for such codes. Finally, a Reed-Solomon-like code construction, related to Gabidulin's construction of maximum rank-distance codes, is described and a Sudan-style ``list-1'' minimum distance decoding algorithm is provided.Comment: This revised paper contains some minor changes and clarification

Finance and growth in a bank-based economy: is it quantity or quality that matters?

With this paper we seek to contribute to the literature on the relation between finance and growth. We argue that most studies in the field fail to measure the quality of financial intermediation but rather resort to using proxies on the size of financial systems. Moreover, cross-country comparisons suffer from the disadvantage that systematic differences between markedly different economies may drive the result that finance matters. To circumvent these two problems we examine the importance of the quality of banks' financial intermediation in the regions of one economy only : Germany. To approximate the quality of financial intermediation we use cost effciency estimates derived with stochastic frontier analysis. We find that the quantity of supplied credit is indeed insignificant when a measure of intermediation quality is included. In turn, the efficiency of intermediation is robust, also after excluding banks likely to operate in multiple regions and distinguishing between different banking pillars active in Germany. --Finance-growth nexus,financial intermediation,regional growth

Efficient, profitable and safe banking: an oxymoron? Evidence from a panel VAR approach

Efficiency is considered a key factor when evaluating a bank's performance. Moreover, efficiency enhancement is an explicit policy objective in the Single Market Directive of the European Commission. But efficiency improvements may come at the expense of deteriorating bank profits and excessive risk-taking. Both the quantitative effects and dynamic reactions of performance in response to efficiency improvements remain often unclear on both theoretical and empirical grounds. We analyze the dynamic relations between efficiency and performance in the German banking market. To this end we use panel data for all German banks for the years from 1993 to 2004 and estimate impulse response functions (IRF) derived from a vector autoregressive model. The IRF estimate the response of a shock in efficiency on profits or default probabilities. The former is estimated with stochastic frontier analysis, the latter is estimated with a hazard rate model. The results indicate that a positive unit shift in efficiency reduces the probability of default and increases profits. On the one hand, we find evidence that the long-run impact of profit efficiency on risk is larger than for cost efficiency. However, cost efficiency impacts with a shorter time lag on the probability of default. On the other hand, cost efficiency has on average a slightly larger impact on profits than profit efficiency. --Bank performance,efficiency,bank failure,vector autoregression,performance forecast

Real estate markets and bank distress

We investigate the relationship between real estate markets and bank distress among German universal and specialized mortgage banks between 1995 and 2004. Higher house prices increase the value of collateral, which reduces the probability of bank distress (PDs). But higher prices at given rents may also indicate excessive expectations regarding the present value of real estate assets, which can increase PDs. Increasing price-to-rent ratios are positively related to PDs and larger real estate exposures amplify this effect. Rising real estate price levels alone reduce bank PDs, but only for banks with large real estate market exposure. This suggests a positive, but relatively small 'collateral' effect for banks with more expertise in specialized mortgage lending. Likewise, lower price-to-rent ratios are estimated to reduce the riskiness of banks. The multilevel logit model used here further shows that real estate markets are regionally segmented and location-specific effects contribute significantly to predicted bank PDs. --Real estate,distress,universal vs. specialized banks

Slippery slopes of stress: ordered failure events in German banking

Outright bank failures without prior indication of financial instability are very rare. Supervisory authorities monitor banks constantly. Thus, they usually obtain early warning signals that precede ultimate failure and, in fact, banks can be regarded as troubled to varying degrees before outright closure. But to our knowledge virtually all studies that predict bank failures neglect the ordinal nature of bank distress. Exploiting the distress database of the Deutsche Bundesbank we distinguish four different distress events that banks experience. Only the worst entails a bank to exit the market. Weaker orders of distress are, first, compulsory notifications of the authorities about potential problems, second, corrective actions such as warnings and hearings and, third, actions by banking pillar's insurance schemes. Since the four categories of hazard functions are not proportional, we specify a generalized ordered logit model to estimate the respective probabilities of distress simultaneously. Our model estimates each set of probabilities with high accuracy and confirms, first, the necessity to account for different kinds of distress events and, second, the violation of the proportional odds assumption implicit in most limited dependent analyses of bank failure. --Bank,failure,distress,generalized ordered logit