We study the role of heterogeneity in firms' financial positions in determining the investment channel of monetary policy. Empirically, we show that firms with low leverage or high credit ratings are the most responsive to monetary policy shocks. We develop a heterogeneous firm New Keynesian...

This paper focuses on two separate problems. The first is that frequently, the most profitable use of funds involves long-term investments, which militiates for long-term debt contracts. The second problem is to monitor the investor's use of funds, as exemplified by the U.S. S&L saga, and we...

Two hypotheses concerning firms issuing debt for the first time are tested. The first is that new firms' debt will be discounted more heavily by lenders, compared to firms which have credit histories (but are otherwise identical), and that this excess discount declines over time as lenders...

This paper explores the risk structure of interest rates. More specifically, we ask whether yields on industrial and commercial bonds indicate that market participants base their evaluations of a bond issue's default risk on agency ratings or on publically available financial statistics. Using a...

Credit scoring was introduced in India in 2007. We study the pace of its adoption by new private banks (NPBs) and state-owned or public sector banks (PSBs). NPBs adopt scoring quickly for all borrowers. PSBs adopt scoring quickly for new borrowers but not for existing borrowers. Instrumental...

An employee's annual earnings fall by 10% the year her firm files for bankruptcy and fall by a cumulative present value of 67% over seven years. This effect is more pronounced in thin labor markets and among small firms that are ultimately liquidated. Compensating wage differentials for this...

There is little evidence on how the large market for credit score improvement products affects consumers or credit market efficiency. A randomized encouragement design on a standard credit builder loan (CBL) identifies null average effects on whether consumers have a credit score and the score...

We develop a model to predict consumer default based on deep learning. We show that the model consistently outperforms standard credit scoring models, even though it uses the same data. Our model is interpretable and is able to provide a score to a larger class of borrowers relative to standard...

The solar industry in the US typically uses a credit score such as the FICO score as an indicator of consumer utility payment performance and credit worthiness to approve customers for new solar installations. Using data on over 800,000 utility payment performance and over 5,000 demographic...

We study the extent of price discovery in the onshore Chinese corporate bond market, focusing in particular on the information content of credit spreads in China. Using Merton's model of default, we construct credit measures of publicly listed firms, using information from their financial...