We use extreme value theory methods to infer conventionally unobservable connections between financial institutions from joint extreme movements in credit default swap spreads and equity returns. Estimated pairwise co-crash probabilities identify significant connections among up to 186 financial institutions prior to the crisis of 2007/2008. Financial institutions that were very central prior to the crisis were more likely to be bailed out during the crisis or receive the status of systemically important institutions. This result remains intact also after controlling for indicators of too-big-to-fail concerns, systemic, systematic, and idiosyncratic risks. Both credit default swap (CDS)-based and equity-based connections are significant predictors of bailouts. Supplementary materials for this article are available online.

Understanding how banks react to unexpected events has become a very important economic and social question, especially since the financial crisis (Ivashina and Scharfstein, 2010; Puri et al., 2011). Whereas previous financial crises had largely stayed in the realm of finance, or very limited areas of the economy, the financial crisis of 2007-2008 demonstrated that unexpected financial shocks can have severe implications for the real economy in general, impacting the lives of a large cross-section of the population, for example through general reductions in employment (Chodorow- Reich, 2014; Popov and Rocholl, 2017). This new realization has led to an extensive literature on how banks react to unexpected events, especially if and how they transfer such shocks to firms and households. As a result, understanding exactly how shocks are transferred not only between banks (Popov and Udell, 2012; Schnabl, 2012), but also between banks and firms has become a crucial aspect of financial research (Peek and Rosengren, 2000; Gan, 2007; Ongena et al., 2015; Acharya et al., 2018; Gropp et al., 2018; Huber, 2018). It has returned into focus the idea that a functioning connection between banks and firms constitutes a crucial part of a well-functioning economy. This thesis aims to contribute to the understanding of how this bank-firm relationship functions and what pitfalls it might entail.

We isolate the direct bank-to-sovereign distress channel within the eurozone’s sovereign-bank-loop by exploiting the global, non-eurozone related variation in stock prices. We instrument banking sector stock returns in the eurozone with exposure-weighted stock market returns from non-eurozone countries and take further precautions to remove any eurozone crisis-related variation. We find that the transmission of instrumented bank distress, while economically relevant, is significantly smaller than the corresponding coefficient in the unadjusted OLS framework, confirming concerns on reverse causality and omitted variables in previous studies. Furthermore, we show that the spillover of bank distress is significantly stronger for countries with poorer macroeconomic performances, weaker financial sectors and financial regulation and during times of elevated political uncertainty.

We study the sensitivity of banks’ credit supply to small and medium size enterprises (SMEs) in the UK with respect to the banks’ financial condition before and during the financial crisis. Employing unique data on the geographical location of all bank branches in the UK, we connect firms’ access to bank credit to the financial condition (i.e., bank health and the use of core deposits) of all bank branches in the vicinity of the firm for the period 2004–2011. Before the crisis, banks’ local financial conditions did not influence credit availability irrespective of the functional distance (i.e., the distance between bank branch and bank headquarters). However, during the crisis, we find that SMEs with banks within their vicinity that have stronger financial conditions faced greater credit availability when the functional distance is close. Our results point to a “flight to headquarters” effect during the financial crisis.

Zehn Jahre nach der Lehman-Pleite werden die Finanzmärkte besser kontrolliert denn je. Das kann böse Folgen haben.

Since the global financial crisis, monetary economics new questions include the explanation and response to unusual consumer price developments but also the interdependencies between financial markets and real economic activity and its implication for the monetary policy transmission mechanism. This dissertation investigates these questions by presenting empirical evidence that accounts for non-linearities of the relevant economic relations. The first and second chapters examine inflation dynamics of the Euro area and ASEAN-5 economies using non-linear Phillips curve models. The results suggest that changes in inflation processes are mainly driven by the development of long-term inflation expectations. The third chapter investigates the evolution of the financial accelerator (FA) taking into account the developments of the financial sector. The results of a time-varying structural vector autoregressive model indicate that the FA effect for the USA has increased from the early 1990s.

The outcome of any important macroeconomic policy change is the net effect of forces operating on different parts of the economy. A central challenge facing policymakers is how to assess the relative strength of those forces. Economists have a range of tools that can be used to make such assessments. Dynamic stochastic general equilibrium (DSGE) models are the leading tool for making such assessments in an open and transparent manner. We review the state of mainstream DSGE models before the financial crisis and the Great Recession. We then describe how DSGE models are estimated and evaluated. We address the question of why DSGE modelers—like most other economists and policymakers—failed to predict the financial crisis and the Great Recession, and how DSGE modelers responded to the financial crisis and its aftermath. We discuss how current DSGE models are actually used by policymakers. We then provide a brief response to some criticisms of DSGE models, with special emphasis on criticism by Joseph Stiglitz, and offer some concluding remarks.

Finding the proper balance between state and market is challenging. Especially in banking (Stiglitz, 1993). Banks in their function as financial intermediaries are risky and inherently prone to failure (Diamond and Dybvig, 1983; Diamond, 1984). But they provide services of vital importance to the economy in the form of payment services, credit supply for investments, inter-temporal liquidity transformation, or management of savings accounts. Consequently, the stability of the banking and financial sector is of public interest. In the least, the financial crisis was an unpleasant reminder to the industrialized world about the severe repercussions of unstable banking systems.

Since the global financial crisis, economic literature has highlighted banks’ inclination to bolster up their liquid asset positions once the aggregate interbank funding market experiences a dry-up. To this regard, we show that liquidity hoarding and its detrimental effects on credit can also be triggered by idiosyncratic, i.e. bankspecific, interbank funding shocks with implications for monetary policy. Combining a unique data set of the Brazilian banking sector with a novel identification strategy enables us to overcome previous limitations for studying this phenomenon as a bankspecific event. This strategy further helps us to analyse how disruptions in the bank headquarters’ interbank market can lead to liquidity and lending adjustments at the regional bank branch level. From the perspective of the policy maker, understanding this market-to-market spillover effect is important as local bank branch markets are characterised by market concentration and relationship lending.

Reserve requirements, as a tool of macroprudential policy, have been increasingly employed since the outbreak of the great financial crisis. We conduct an analysis of the effect of reserve requirements in tranquil and crisis times on credit and GDP growth making use of Bayesian model averaging methods. In terms of credit growth, we can show that initial negative effects of higher reserve requirements (which are often reported in the literature) tend to be short-lived and turn positive in the longer run. In terms of GDP per capita growth, we find on average a negative but not robust effect of regulation in tranquil times, which is only partly offset by a positive but also not robust effect in crisis times.