Published

Model Secrecy and Stress Tests (w/ Yaron Leitner) The Journal of Finance (2023) 78:2, 1055-1095.

We study whether regulators should reveal the models they use to stress test banks. In our setting, revealing leads to gaming, but not revealing can induce banks to underinvest in socially desirable assets for fear of failing the test. We show that although the regulator can solve this underinvestment problem by making the test easier, some disclosure may still be optimal, which under some conditions takes the simple form of a cutoff rule. We characterize the optimal disclosure policy combined with test difficulty, provide comparative statics, and relate our results to recent policies. We also offer applications beyond stress tests.

Search, Liquidity, and Retention: Screening Multidimensional Private Information Journal of Political Economy (2021) 129:5, 1487-1507.

Winner of the 2014 PhD Outstanding Paper Award in Honor of Stuart I. Greenbaum, Washington University in St. Louis

Winner of the 2015 Cubist Systematic Strategies Ph.D. Candidate Award for Outstanding Research.

A large literature has shown that asset quality may be signaled by retention, or, in a separate literature, screened by liquidity. I present a general framework to analyze both instruments, offering conditions that characterize which instrument will be used in equilibrium. I then expand the private information to include not only asset quality but also seller patience, showing that both retention and liquidity may be used to fully separate both dimensions of private information. The expanded model offers new predictions about how price, quantity, and liquidity covary with each other and with seller private information.

Working Papers

Spoofing in Equilibrium (w/ Andy Skrzypacz) Revise and resubmit at Journal of Finance

We present a model of dynamic trading with exogenous and strategic cancellation of orders. We define spoofing as strategically placing and cancelling orders in order to move prices and trade later in the opposite direction. We show that spoofing can occur in equilibrium, slowing price discovery and raising spreads and volatility. A novel prediction is that the prevalence of equilibrium spoofing is single-peaked in the measure of informed traders, suggesting that spoofing should be more prevalent in markets of intermediate liquidity. Regulation which inhibits order cancellation not only discourages spoofing but also harms legitimate traders; we illustrate numerically how this tradeoff varies with market conditions and affects optimal regulation.

Reward Schemes for Autonomous Workers (w/ Erik Madsen and Andy Skrzypacz)

When workers enjoy autonomy over aspects of their work, their employers commonly use both monetary bonuses and tangible non-monetary prizes to guide their choices. We study the design of these reward schemes, which optimally utilize a mix of the two tools and balance the (linear) financial cost of bonuses against the (convex) allocative cost of prize incentives. As the employer's need to reshape employee choices grows, prize incentives increase while monetary incentives typically respond non-monotonically. We establish these results in a model flexible enough to encompass loyalty programs on Uber and Airbnb as well as return-to-office incentives for hybrid workers.

Incentive Design for Talent Discovery (w/ Erik Madsen and Andy Skrzypacz)

We study how talent discovery within organizations distorts employee task choices. These choices are generally suboptimal when employees seek to earn promotions which are awarded based on perceived talent. They can be improved through incentive schemes which pay bonuses and/or reallocate promotions between employees. We show that the optimal incentive tool depends on the desired power of incentives, with low-powered incentives provisioned through bonuses and high-powered incentives achieved by reallocating promotions. Organizations can sometimes further benefit by dividing employees into groups with different promotion rates and bonuses, which we show eliminates the need to promote inefficiently within groups.

Stress Tests and Bank Portfolio Choice

How informative should bank stress tests be? I use Bayesian persuasion to formalize stress tests and show that regulators can reduce the likelihood of a bank run by performing tests which are only partially informative. Fully disclosing stress tests are never strictly optimal, and I find conditions under which full disclosure is worse than no disclosure. Optimal stress tests give just enough failing grades to keep passing grades credible enough to avoid runs. I find that optimal stress tests, by reducing the probability of runs, reduce the optimal level of banks' liquidity cushions. I also examine the impact of anticipated stress tests on banks' ex ante incentive to invest in risky versus safe assets.