Do targeted macroprudential measures impact non-targeted sectors too? We investigate the compositional changes in the supply of credit by Swiss banks, exploiting their differential exposure to the activation in 2013 of the countercyclical capital buffer (CCyB) which targeted banks’ exposure to residential mortgages. We find that the additional capital requirements resulting from the activation of the CCyB are associated with higher growth in banks’ commercial lending. While banks are lending more to all types of businesses, the new macroprudential policy benefits smaller and riskier businesses the most. However, the interest rates and other costs of obtaining credit for these firms rise as well.

This article demonstrates that low bank capital carries a negative externality because it amplifies local shock spillovers. We exploit a natural disaster that is transmitted to firms in nondisaster areas via their banks. Firms connected to a strongly disaster-exposed bank with lowest-quartile capitalization significantly reduce their total borrowing by 6.6% and tangible assets by 6.9% compared to similar firms connected to a well-capitalized bank. These findings translate to negative regional effects on GDP and unemployment. Additionally, following a disaster event, banks reduce their exposure to currently unaffected but generally disaster-prone areas.

We investigate the impact of the Bank of England's asset purchase program (APP) on the composition of assets of UK banks with unique data on the received reserves injections. The Monetary Policy Committee (MPC) didn’t expect there to be strong transmission of the APP’s impact through the bank lending channel. We find that compared to the control group, treated banks reallocated their assets towards lower risk-weighted investments, such as government securities, but did not provide more credit to the real economy. Overall, our findings suggest that when banks are not adequately capitalised, risk-based capital constraints can limit the effectiveness of expansionary unconventional monetary policies and provide incentives for carry trade activities.

We examine whether the relationship between managerial risk-taking incentives and bank risk is sensitive to the underlying macroeconomic conditions. We find that risk-taking incentives provided to bank executives are associated with higher bank riskiness during economic downturns. We attribute this finding to the increase in moral hazard during macroeconomic downturns when the perceived probability of future bailouts and government guarantees rises. This association is particularly strong for larger banks, banks that maintain lower capital ratios and banks that are managed by more powerful Chief Executive Officers (CEOs). Our findings highlight the importance of the interaction between managerial incentives and the macroeconomic environment. Boards and regulators may find it useful to consider the countercyclical nature of the relationship between risk-taking incentives and bank riskiness when designing managerial compensation.

We show that lenders charge higher interest rates for mortgages on properties exposed to a greater risk of sea level rise (SLR). This SLR premium is not evident in short-term loans and is not related to borrowers’ short-term realized default or creditworthiness. Further, the SLR premium is smaller when the consequences of climate change are less salient and in areas with more climate change deniers. Overall, our results suggest that mortgage lenders view the risk of SLR as a long-term risk and that attention and beliefs are potential barriers through which SLR risk is priced in residential mortgage markets.

In this paper, we gauge the degree of interconnectedness and quantify the linkages between global and other systemically important institutions, and the global financial system. We document that the two groups and the financial system become more interconnected during the global financial crisis when linkages across groups grow. In contrast, during tranquil times linkages within groups prevail. Global systemically important banks (G-SIBs) contribute most to system-wide distress but are also most exposed. There are more links coming from G-SIBs to other systemically important institutions (O-SIIs) than the other way around, confirming the role of G-SIBs as major risk transmitters in the financial system. The two groups and the global financial system tend to co-vary for periods up to 60 days Prior to their official designation as G-SIBs or O-SIIs, the prevalent news sentiment about these institutions (we measure with a textual analysis) was negative. Importantly, the systemic importance and exposure of G-SIBs and O-SIIs is perceived differently by the Financial Stability Board (FSB) and the European Banking Authority (EBA).

Small and micro-enterprises are usually majority-owned by entrepreneurs. Using a unique sample of loan applications from such firms, we study the role of owners’ gender in bank credit decisions and post-credit-decision firm outcomes. We find that, ceteris paribus, female entrepreneurs are more prudent loan applicants than are males because they are less likely to apply for credit or to default after loan origination. The relatively more aggressive behavior of male applicants pays off, however, in terms of higher average firm performance after loan origination.

We study whether management practices determine merger and acquisition (M&A) success. We model management as an unobserved (latent) variable in a standard microeconomic model of the firm and derive firm-year management estimates. We validate these estimates against benchmark survey data on management practices and by using Monte Carlo simulation. We show that our measure is among the most important determinants of value creation in M&A deals, substantially increasing the predictive power of models that explain cumulative abnormal returns. Thus, we offer a measure of management practices that identifies the best-performing M&As. Our results are robust to the inclusion of acquirer fixed effects and many control variables, and to several other sensitivity tests. We identify the Q-theory as the key mechanism driving our results.