Showing results 1 to 4 of approximately 4.(refine search)
Banks, Non Banks, and Lending Standards
We study how competition between banks and non-banks affects lending standards. Banks have private information about some borrowers and are subject to capital requirements to mitigate risk-taking incentives from deposit insurance. Non-banks are uninformed and market forces determine their capital structure. We show that lending standards monotonically increase in bank capital requirements. Intuitively, higher capital requirements raise banks’ skin in the game and screening out bad projects assures positive expected lending returns. Non-banks enter the market when capital requirements are ...
Post-crisis Signals in Securitization: Evidence from Auto ABS
We find significant evidence of asymmetric information and signaling in post-crisis offerings in the auto asset-backed securities (ABS) market. Using granular regulatory reporting data, we are able to directly measure private information and quantify its effect on signaling and pricing. We show that lenders "self-finance'' unobservably higher-quality loans by holding these loans for longer periods to signal private information. This signal is priced in initial offerings of auto ABS and accurately predicts ex-post loan performance. We also demonstrate that our results are robust to exogenous ...
Employment Dynamics in a Signaling Model with Workers' Incentives
Many firms adjust employment in a "lumpy" manner -- infrequently and in large bursts. In this paper, I show that lumpy adjustments can arise from concerns about the incentives of remaining workers. Specifically, I develop a model in which a firm's productivity depends on its workers' effort and workers' income prospects depend on the firm's profitability. I use this model to analyze the consequences of demand shocks that are observed by the firm but not by its workers, who can only try to infer the firm's profitability from its employment decisions. I show that the resulting signaling model ...
Variance Disparity and Market Frictions
This paper introduces a new model-free approach to measuring the expectation of market variance using VIX derivatives. This approach shows that VIX derivatives carry different information about future variance than S&P 500 (SPX) options, especially during the 2008 financial crisis. I find that the segmentation is associated with frictions such as funding illiquidity, market illiquidity, and asymmetric information. When they are segmented, VIX derivatives contribute more to the variance discovery process than SPX options. These findings imply that VIX derivatives would offer a better estimate ...