We revisit the link between bailouts and bank risk taking. The expectation of government support to failing banks creates moral hazard - increases bank risk taking. However, when a bank's success depends on both its effort and the overall stability of the banking system, a government's...

This paper compares the current regulatory capital requirements under the Dodd-Frank Act (DFA) and the 10-percent leverage ratio, as proposed by the U.S. Treasury and the U.S. House of Representatives' Financial CHOICE Act (FCA). We find that the majority of U.S. banks would not qualify for an...

The paper uses finance and agency theory to establish two main propositions: First, that the conditionality attached to adjustment programs supported by the IMF is justified. Second, that ownership of programs by the borrowing country is crucial for their success. Hence, since both IMF...

Islamic and cooperative banks such as credit unions are broadly similar in that they both share some risk with savers. However, risk sharing goes along with ownership control in cooperatives, whilst Islamic banks share risk with borrowers and downside risk with depositors. Islamic banking is...

This simulation-based paper investigates the impact of different methods of dynamic provisioning on bank soundness and shows that this increasingly popular macroprudential tool can smooth provisioning costs over the credit cycle and lower banks' probability of default. In addition, the paper...

This paper offers novel evidence on the impact of raising bank capital requirements in the context of an emerging market: Peru. Using quarterly bank-level data and exploiting the adoption of bank-specific capital buffers, we find that higher capital requirements have a short-lived, negative...

Model selection and forecasting in stress tests can be facilitated using machine learning techniques. These techniques have proved robust in other fields for dealing with the curse of dimensionality, a situation often encountered in applied stress testing. Lasso regressions, in particular, are...

Recent advances in digital technology and big data have allowed FinTech (financial technology)lending to emerge as a potentially promising solution to reduce the cost of credit and increasefinancial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credithave...

We explore empirically how the time-varying allocation of credit across firms with heterogeneous credit quality matters for financial stability outcomes. Using firm-level data for 55 countries over 1991-2016, we show that the riskiness of credit allocation, captured by Greenwood and Hanson...

There is increasing interest in loan-to-value (LTV) and debt-service-to-income (DTI) limits as many countries face a new round of rising house prices. Yet, very little is known on how these regulatory instruments work in practice. This paper contributes to fill this gap by looking closely at...