We study the nature of sovereign credit risk using an extensive sample of CDS spreads for 26 developed and emerging-market countries. Sovereign credit spreads are surprisingly highly correlated, with just three principal components accounting for more than 50 percent of their variation....

We propose a new approach to studying the pass-through of credit expansion policies that focuses on frictions, such as asymmetric information, that arise in the interaction between banks and borrowers. We decompose the effect of changes in banks' cost of funds on aggregate borrowing into the...

Lending standards are a direct measure of credit conditions. We use the micro data merged from three separate sources to construct this measure and document that an uncertain macroeconomic outlook, rather than banks' balance sheet positions, was an important reason that a majority of banks...

Credit booms are not rare and usually precede financial crises. However, some end in a crisis (bad booms) while others do not (good booms). We document that credit booms start with an increase in productivity, which subsequently falls much faster during bad booms. We develop a model in which...

Group lending has been widely adopted in the past thirty years by many microfinance institutions as a means to mitigate information asymmetries when delivering credit to the poor. This paper proposes an empirical method to address the potential omitted variable problem resulting from unobserved...

We measure the effect of an anti-predatory pilot program (Chicago, 2006) on mortgage default rates to test whether predatory lending was a key element in fueling the subprime crisis. Under the program, risky borrowers and/or risky mortgage contracts triggered review sessions by housing...

Partisan perception affects the actions of professionals in the financial sector. Using a novel dataset linking credit rating analysts to party affiliations from voter records, we show that analysts who are not affiliated with the U.S. president's party downward-adjust corporate credit ratings...

How does the large market for credit score improvement products affect consumers and market efficiency? For consumers, we use a randomized encouragement design on a standard credit builder loan (CBL) and find null average effects on scores. But a generalized random forest algorithm finds...