In accordance with its statutes, the Halle Institute for Economic Research (IWH) pursues an intensive bilateral knowledge transfer on the basis of excellent scientific research with its partners in the non-academic community. In so doing, the IWH contributes to better informed decision making on a societal level. The overarching goal is to foster mutually beneficial exchanges that involve the provision of evidence-based knowledge to society (transfer from the academic to the non-academic community) and the integration of questions of public interest into its research agenda (transfer from the non-academic to the academic community).

We hypothesize and empirically establish that economic preferences for risk-taking in different subnational regions affect firm financing costs. We study this hypothesis by hand-matching firms' regions worldwide with the corresponding regional economic risk-taking preferences. We first show that higher regional risk-taking is positively associated with several measures of firm risk and investments. Subsequently, our baseline results show that credit and bond pricing increase when risk-taking preferences increase. For the loan of average size and maturity a one-standard-deviation increase in regional risk-taking increases interest expense by $0.54 million USD. We also find that these results are demand (firm)-driven and stronger for firms with more local shareholders.

Banks play a special role in the financial system. According to classical banking theory, they help reduce informational asymmetries and serve as liquidity providers. Banks can, at least partially, lower transaction costs that result from information frictions between investors and firms and thereby alleviate firms’ funding constraints (Diamond, 1984). Moreover, banks create liquidity on their balance sheets by financing comparably illiquid assets with relatively liquid liabilities (Diamond and Dybvig, 1983). Integrating credit and liquidity provision functions, banks have been the object of numerous studies on financial intermediation. A particular focus in recent years has been on banks’ behavior as well as on the con- sequences of their actions for the real economy when hit by adverse shocks. Following the global financial crisis, financial shocks that originate from within the financial sec- tor have received wide attention (Cingano et al., 2016; Chodorow-Reich, 2014; Khwaja and Mian, 2008; Paravisini, 2008; Paravisini et al., 2015; Schnabl, 2012). However, banks are also subject to numerous non-financial shocks, which are the focus of this thesis.

The bank recovery and resolution directive (BRRD) regulates the bail-in hierarchy to resolve distressed banks in the European Union (EU). Using the staggered BRRD implementation across 15 member states, we identify banks’ capital cost responses and subsequent pass-through to borrowers towards surprise elements due to national transposition details. Average bank capital costs increase heterogeneously across countries with strongest funding cost hikes observed for banks located in GIIPS and non-EMU countries. Only banks in core E(M)U countries that exhibit higher funding costs increase credit spreads for corporate borrowers and contract credit supply. Tighter credit conditions are only passed on to more levered and less profitable firms. On balance, the national implementation of BRRD appears to have strengthened financial system resilience without a pervasive hike in borrowing costs.

This paper provides both theoretical and empirical analyses of the differences between BigTech lenders and traditional banks in response to monetary policy changes. Our model integrates Knightian uncertainty into portfolio selection and posits that BigTech lenders possess a diminishing informational advantage with increasing firm size, resulting in reduced ambiguity when lending to smaller firms. The model suggests that the key distinction between BigTech lenders and traditional banks in response to shifts in funding costs, triggered by monetary policy changes, is more evident at the extensive margin rather than the intensive margin, particularly during periods of easing monetary policy. Using a micro-level dataset of small business loans from both types of lenders, we provide empirical support for our theoretical propositions. Our results show that BigTech lenders are more responsive in establishing new lending relationships in an easing monetary policy environment, while the differences in loan amounts are not statistically significant. We also discuss other loan terms and the implications of regulatory policies.

Prognosemodelle für die zukünftige wirtschaftliche Entwicklung verwenden häufig marktbasierte Indikatoren wie Spreads von Unternehmensanleihen, die den Risikoaufschlag gegenüber einem Referenzzins angeben. Anleihespreads bilden jedoch nur die Entwicklung von Risiken für Unternehmen ab, die regelmäßig Anleihen emittieren – im Durchschnitt größere, sichere Firmen. Neuartige Daten zu Bankkrediten, die im Sekundärmarkt gehandelt werden, erlauben auch die Konstruktion von Kreditspreads. Kreditmarktdaten umfassen ein breiteres Spektrum an Firmen, inklusive kleinerer Firmen, die stärker von Finanzmarktfriktionen betroffen sind. Tests zeigen, dass Kreditspreads tatsächlich mehr Informationen über wirtschaftliche Entwicklungen beinhalten als Anleihespreads und daher das Potenzial haben, Prognosemodelle zu verbessern.

The regulatory architecture of the financial system has significantly changed after the global financial crisis of 2008/09. In Europe, the introduction of the Single Rulebook has been a major change and provides the legal foundation for the European Banking Union (EBU). The Single Rulebook consists of a regulation, the Capital Requirements Regulation (CRR), and three main directives targeting capital regulation and compensation of managers, harmonization of deposit insurance schemes, as well as resolution and restructuring rules (Capital Requirements Directive (CRD IV), Deposit Guarantee Schemes Directive (DGSD), Bank Recovery and Resolution Directive (BRRD)).