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Germany’s economy is so bad even sausage factories are closingIWHThe Economist, January 15, 2026
Changes in exchange rates affect countries through their impact on cross-border activities such as trade and foreign direct investment (FDI). With increasing activities of multinational firms, the FDI channel is likely to gain in importance. Economic theory provides two main explanations why changes in exchange rates can affect FDI. According to the first explanation, FDI reacts to exchange rate changes if there are information frictions on capital markets and if investment depends on firms’ net worth (capital market friction hypothesis). According to the second explanation, FDI reacts to exchange rate changes if output and factor markets are segmented, and if firm-specific assets are important (goods market friction hypothesis). We provide a unified theoretical framework of these two explanations. We analyse the implications of the model empirically using a dataset based on detailed German firm-level data. We find greater support for the goods market than for the capital market friction hypothesis.
In a recent article in this journal, Bouckaert and Degryse [2004] (denoted B&D) present a model in which banks strategically commit to disclosing borrower information. In this note, we point out an error in B&D and show that, although banks' information disclosure may indeed arise in equilibrium, it only does so if adverse selection is not too harsh.
Evidence on central banks’ twin objective, monetary and financial stability, is scarce. We suggest an integrated micro–macro approach with two core virtues. First, we measure financial stability directly at the bank level as the probability of distress. Second, we integrate a microeconomic hazard model for bank distress and a standard macroeconomic model. The advantage of this approach is to incorporate micro information, to allow for non-linearities and to permit general feedback effects between financial distress and the real economy. We base the analysis on German bank and macro data between 1995 and 2004. Our results confirm the existence of a trade-off between monetary and financial stability. An unexpected tightening of monetary policy increases the probability of distress. This effect disappears when neglecting microeffects and non-linearities, underlining their importance. Distress responses are largest for small cooperative banks, weak distress events, and at times when capitalization is low. An important policy implication is that the separation of financial supervision and monetary policy requires close collaboration among members in the European System of Central Banks and national bank supervisors.
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.
Weak bank supervision could give banks the ability to shift risk from themselves to supervisors. We use cross-border bank mergers as a natural experiment to test changes in risk and the impact of supervision. We examine cross-border bank mergers and find that the supervisory structures of the partners’ countries influence changes in post-merger total risk. An acquirer from a country with strong supervision lowers total risk after a cross-border merger. However, total risk increases when the target bank is located in a country with relatively strong supervision. This result is consistent with strong host regulators limiting the risky activities of their local banks. Foreign-owned competitors could then engage in the risky projects, especially if the foreign banks’ supervisors are not strong. An acquirer entering a country with strong supervision appears to shift risk back to its home country. The results suggest that bank supervisors can reduce total banking risk in their countries by being strong.
We analyze the stability of efficiency rankings of German universal banks between 1993 and 2004. First, we estimate traditional efficiency scores with stochastic cost and alternative profit frontier analysis. Then, we explicitly allow for different risk preferences and measure efficiency with a structural model based on utility maximization. Using the almost ideal demand system, we estimate input- and profit-demand functions to obtain proxies for expected return and risk. Efficiency is then measured in this risk-return space. Mean risk-return efficiency is somewhat higher than cost and considerably higher than profit efficiency (PE). More importantly, rank–order correlation between these measures are low or even negative. This suggests that best-practice institutes should not be identified on the basis of traditional efficiency measures alone. Apparently, low cost and/or PE may merely result from alternative yet efficiently chosen risk-return trade-offs.
Most bank merger studies do not control for hidden bailouts, which may lead to biased results. In this study we employ a unique data set of approximately 1000 mergers to analyze the determinants of bank mergers. We use undisclosed information on banks’ regulatory intervention history to distinguish between distressed and non-distressed mergers. Among merging banks, we find that improving financial profiles lower the likelihood of distressed mergers more than the likelihood of non-distressed mergers. The likelihood to acquire a bank is also reduced but less than the probability to be acquired. Both distressed and non-distressed mergers have worse CAMEL profiles than non-merging banks. Hence, non-distressed mergers may be motivated by the desire to forestall serious future financial distress and prevent regulatory intervention.
Has the introduction of the Euro fostered financial integration in Europe? We answer this question using a data set of banks’ bilateral foreign assets and liabilities provided by the Bank for International Settlements. The data cover the pre-Euro period (1995–1998) and the post-Euro period (1999–2005). We use information from 10 OECD reporting countries and all OECD recipient countries. Gravity regressions show a positive and significant impact of the Euro on bilateral financial linkages. This effect is stronger and more robust for banks’ foreign assets than for their foreign liabilities.
How do banks react to increased competition? Recent banking theory significantly disagrees regarding the impact of competition on bank orientation—i.e., the choice of relationship-based versus transactional banking. We empirically investigate the impact of interbank competition on bank branch orientation. We employ a unique data set containing detailed information on bank–firm relationships. We find that bank branches facing stiff local competition engage considerably more in relationship-based lending. Our results illustrate that competition and relationships are not necessarily inimical.
Outright bank failures without prior indication of financial instability are very rare. In fact, banks can be regarded as troubled to varying degrees before outright closure. But failure studies usually neglect the ordinal nature of bank distress. We distinguish four different kinds of increasingly severe events on the basis of the distress database of the Deutsche Bundesbank. Only the worst distress event entails a bank to exit the market. Since the four categories of hazard functions are not proportional, we specify a generalized ordered logit model to estimate respective probabilities of distress simultaneously. We find that the likelihood of ordered distress events changes differently in response to given changes in the financial profiles of banks. Consequently, bank failure studies should account more explicitly for the different shades of distress. This allows an assessment of the relative importance of financial profile components for different degrees of bank distress.
