Using a property-level data set of houses in Los Angeles County, I estimate that 30% of the recent surge in mortgage defaults is attributable to early home-buyers who would not have defaulted had they not borrowed against the rising value of their homes during the boom. I develop and estimate a...

We test the widely held assumption that longer restructurings are more costly. In contrast to earlier studies, we use instrumental variables to control for the endogeneity of restructuring time and creditor return. Instrumenting proves critical to our finding that creditor recovery rates...

Whether bank failures have adverse effects on local economies is an important question for which there is conflicting and relatively scarce evidence. In this study, I use county-level data to examine the effect of bank failures and resolutions on local economies. Using quasi-experimental...

We analyze the interactions between two different forms of unsecured credit and their implications for default behavior of young U.S. households. One type of credit mimics credit cards in the United States and the default option resembles a bankruptcy filing under Chapter 7; the other type of...

This paper presents a model of repo rehypothecation in which dealers intermediate funds and collateral between cash lenders (e.g., money market funds) and prime brokerage clients (e.g., hedge funds). Dealers take advantage of their position as intermediaries, setting different repo terms with...

We present a dynamic structural model of subprime adjustable-rate mortgage (ARM) borrowers making payment decisions taking into account possible consequences of different degrees of delinquency from their lenders. We empirically implement the model using unique data sets that contain information...

We offer a model and evidence that private debtholders play a key role in setting the endogenous asset value threshold below which corporations declare bankruptcy. The model, in the spirit of Black and Cox (1976), implies that the recovery rate at emergence from bankruptcy on all of the firm's...

This paper models an unexplored source of liquidity risk faced by large broker-dealers: collateral runs. By setting different contracting terms on repurchase agreements with cash borrowers and lenders, dealers can source funds for their own activities. Cash borrowers internalize the risk of...

This paper constructs a leading macroeconomic indicator from microeconomic data using recent machine learning techniques. Using tree-based methods, we estimate probabilities of default for publicly traded non-financial firms in the United States. We then use the cross-section of out-of-sample...

When collateral is safe, there are less opportunities for things to go wrong. We examine matching between collateral and creditors in the commercial real estate mortgage market by comparing loans in commercial mortgage backed securities (CMBS) conduits and bank portfolios. We model CMBS...