This paper documents large differences in mortgage prepayment behavior across racial and ethnic groups in the United States, which have significant implications for monetary policy, inequality, and pricing. Using a novel data set that combines administrative data on mortgage performance with information on race and ethnicity, we show that Black and Hispanic white borrowers have significantly lower prepayment rates compared with Non-Hispanic white borrowers, holding income, credit score, and equity constant. This gap is on the order of 50 percent and largely reflects different sensitivities to movements in market interest rates, and was particularly pronounced during QE1. Differences in prepayment speeds result in large disparities between white and minority borrowers in the distribution of rates paid on outstanding mortgages, which widens during periods of low mortgage rates and high refinance volumes. From 2010 to 2014, Black borrowers were paying 30 to 45 basis points more on average than Non-Hispanic whites despite only a small gap of about 5 basis points between the groups at the time of mortgage origination. The large differences in prepayment behavior have important pricing implications, as they suggest that minority borrowers are overpaying for their prepayment option. Our results show that inequality in mortgage markets is larger than previously realized and is exacerbated by expansionary monetary policy.

No abstract

We analyze how CEO stock options compensation can be used as a commitment device in oligopolistic competition. We develop a two‐stage model where shareholders choose managerial compensation to commit their managers to being aggressive in equilibrium. Our results may explain why some shareholders appear to incentivize ‘excessive’ risk taking through stock options compensation. We analyze how our results are impacted by product quality, marginal cost, product differentiation, and industry concentration. As motivation for our research, we show that there exists positive empirical correlation between industry concentration and options compensation vega within a sample of firms, as suggested by our model. Copyright © 2016 John Wiley & Sons, Ltd.

No abstract

Motivated by the assessment of racial discrimination in mortgage pricing, we introduce a new methodology for comparing the menus of options borrowers face based on their choices. First, we show how standard regression-based approaches for assessing discrimination in the menus context can lead to misleading and contradictory results. Second, we propose a new methodology that is robust these problems based on relatively weak economic assumptions. More specifically, we use pairwise dominance relationships in choices supplemented by restrictions on the range of plausible menus to define (1) a test statistic for equality in menus and (2) a difference in menus (DIM) metric for assessing whether one group of borrowers would prefer to switch to another group's menus. Our statistics are robust to arbitrary heterogeneity in borrower preferences across racial groups, are sharp in terms of identification, and can be efficiently computed using Optimal Transport methods. Third, we devise a new approach for inference on the value of Optimal Transport problems based on directional differentiation. Fourth, we use our methodology to estimate mortgage pricing differentials by race on a novel data set linking 2018--2019 Home Mortgage Disclosure Act (HMDA) data to Optimal Blue rate locks. We find robust evidence for mortgage pricing differentials by race, particularly among Conforming mortgage borrowers who are relatively creditworthy.