With the establishment of the Banking Union, the European Central Bank has been granted the power to impose stricter regulations than the national regulator if systemic risks are not adequately addressed at the national level. We ask whether there is a cross-border externality in the sense that a bank’s systemic risk differs when applying a national versus a European perspective. On average, banks’ contribution to systemic risk is similar at the two regional levels, and so is the ranking of banks. Generally, larger banks and banks with a lower share of loans are more systemically important. The effects of these variables are qualitatively but not quantitatively similar at the national versus the European level.

This paper investigates how political influence affects firms’ financial flexibility and speed of adjustment toward target leverage ratios. We find that at the macro level, firms in environments with high political advantages, proxied by provincial affiliations with heads of state as well as political status and party rank of provincial leaders, adjust faster. At the micro level, firms that are state-owned, have CPC members as executives, or bear low exposure to changes in political uncertainty adjust faster. When interacted, the micro-level political factors have more significant impact.

We study the impact of higher capital requirements on banks’ balance sheets and their transmission to the real economy. The 2011 EBA capital exercise is an almost ideal quasi-natural experiment to identify this impact with a difference-in-differences matching estimator. We find that treated banks increase their capital ratios by reducing their risk-weighted assets, not by raising their levels of equity, consistent with debt overhang. Banks reduce lending to corporate and retail customers, resulting in lower asset, investment, and sales growth for firms obtaining a larger share of their bank credit from the treated banks.

We distinguish cost advantage at home from cost advantage vis-à-vis incumbent banks in destination markets to explain the probability of foreign bank affiliate lending. We combine detailed affiliate lending data of all German banks with public bank micro data from 59 destination markets. The likelihood to operate foreign affiliates depends positively on both types of cost advantage. Only cost advantage at home is economically significant. Generally, risk, return, and unobservable bank traits explain a larger share of the variation in foreign affiliate operations. Less profitable, more risky, and larger banks are more likely to operate affiliates abroad.

This paper empirically examines the role of soft information in the competitive interaction between relationship and transaction banks. Soft information can be interpreted as a valuable signal about the quality of a firm that is observable to a relationship bank, but not to a transaction bank. We show that borrowers self-select to relationship banks depending on whether their observed soft information is positive or negative. Competition affects the investment in learning the soft information from firms by relationship banks and transaction banks asymmetrically. Relationship banks invest more; transaction banks invest less in soft information, exacerbating the selection effect.

Does bank instability push borrowers to use crowdfunding as a source of external finance? We identify stressed banks and link them to a unique, manually constructed sample of 157 new ventures seeking equity crowdfunding. The sample comprises projects from all German equity crowdfunding platforms since 2011, which we compare with 200 ventures that do not use crowdfunding. Crowdfunding is significantly more likely for new ventures that interact with stressed banks. Innovative funding is thus particularly relevant when conventional financiers are facing crises. But crowdfunded ventures are generally also more opaque and risky than new ventures that do not use crowdfunding.

Over the last decade, German housing prices have increased unprecedentedly. Drawing on quality-adjusted housing price data at the district level, we document large and increasing regional disparities: growth rates were higher in 1) the largest seven cities, 2) districts located in the south, and 3) districts with higher initial price levels. Indications of price bubbles are concentrated in the largest cities and in the purchasing market. Prices seem to be driven by the demand side: increasing population density, higher shares of academically educated employees and increasing purchasing power explain our findings, while supply remained relatively constrained in the short term.