Using variance decompositions in vector auto-regressions (VARs) we model a high-dimensional network of European CDS spreads to assess the transmission of credit risk to the non-financial corporate sector. Our findings suggest a sectoral clustering in the CDS network, where financial institutions...

We examine insurance against loan default when lenders can screen in primary markets at a heterogeneous cost and learn loan quality over time. In equilibrium, low-cost lenders screen loans but some high-cost lenders insure them. Insured loans are risk-free and liquid in a secondary market, while...

One of the main concerns when considering Central Bank Digital Currency (CBDC) is the disintermediating effect on the banking sector in normal times, and even more the risk of a bank run in times of crisis. This paper extends the bank run model of Gertler and Kiyotaki (2015) by analyzing the...

We model asset opacity and deposit rate choices of banks who imperfectly compete for uninsured deposits, are subject to runs, and face a threat of entry. Higher competition increases deposit rates and bank fragility, resulting in an intermediate socially optimal level of bank competition. We...

This paper proposes a general statistical framework for systemic financial stress indexes. Several existing index designs can be represented as special cases. We introduce a daily variant of the ECB's CISS for the euro area and the US. The CISS aggregates a representative set of stress...

We study the effects of financial sanctions on cross-border credit supply. Using a differences-in-differences approach to analyze eleven sanctions episodes between 2002 and 2015, we find that banks located in Germany reduce their positions in countries with sanctioned entities by 38%. The...

Financial contracts are complicated and consumers often do not grasp them in their entirety. This may lead to financial mistakes. We develop a quantitative theory of unsecured credit and equilibrium default in a market with sophisticated and naïve borrowers who sometimes misunderstand their...