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Options Trading Costs Are Lower than You Think

Review of Financial Studies 2020 33(11), 4973-5014 open access
Conventional estimates of the costs of taking liquidity in options markets are large. Nonetheless, options trading volume is high. We resolve this puzzle by showing that options price changes are predictable at high frequency, and many traders time executions by buying (selling) when the option fair value is close to the ask (bid). Effective spreads of traders who time executions are less than 40% of the size of conventional measures, and the overall average effective spread is one-quarter smaller than conventional estimates. Price impact measures are also affected. These findings alter conclusions about the after-cost profitability of options trading strategies.

Financial Inclusion, Human Capital, and Wealth Accumulation: Evidence from the Freedman’s Savings Bank

Review of Financial Studies 2020 33(11), 5333-5377
This paper studies how access to financial services among a previously unbanked group affects human capital, labor market, and wealth outcomes. We use novel data from the Freedman’s Savings Bank—created following the American Civil War to serve free Blacks—employing an instrumental variables strategy exploiting the staggered rollout of bank branches. Families with accounts are more likely to have children in school, be literate, work, and have higher occupational income, business ownership, and real estate wealth. Placebo effects are not present using planned but unbuilt branches, or for Whites, suggesting significant positive effects of financial inclusion.

Symmetry in Pay for Luck

Review of Financial Studies 2020 33(7), 3174-3204
In this study, we take a comprehensive look at asymmetry in pay for luck, which is the finding that CEOs are rewarded for good luck, but are not penalized to the same extent for bad luck. Our main takeaway, which is based on over 200 different specifications, is that there is no asymmetry in pay for luck. Our finding is important given that the literature widely accepts the idea of asymmetry in pay for luck and typically points to this as evidence of rent extraction.

Monthly Payment Targeting and the Demand for Maturity

Review of Financial Studies 2020 33(11), 5416-5462
We document three phenomena we jointly refer to as monthly payment targeting. First, using data from 500,000 used auto loans and discontinuities in contract terms offered by hundreds of lenders, we show that demand is more sensitive to maturity than to interest rate, consistent with consumers managing payment size when making debt decisions. Second, many consumers appear to employ segregated mental accounts, spending exogenous payment savings on larger loans. Third, consumers bunch at round number monthly payment amounts, consistent with heuristic budgeting. That these patterns hold in subsamples of likely constrained and unconstrained borrowers challenges liquidity constraints as a complete explanation.

Investor Information Acquisition and Money Market Fund Risk Rebalancing during the 2011–2012 Eurozone Crisis*

Review of Financial Studies 2020 33(4), 1445-1483 open access
We study investor redemptions and portfolio rebalancing decisions of prime money market mutual funds (MMFs) during the Eurozone crisis. We find that sophisticated investors selectively acquire information about MMFs’ risk exposures to Europe, which leads managers to withdraw funding from information-sensitive European issuers. That is, MMF managers, particularly those serving the most sophisticated investors, selectively adjust their portfolio risk exposures to avoid information-sensitive European risks, while maintaining or increasing risk exposures to other regions. This mechanism helps to explain the occurrence of selective “dry-ups” in debt markets where delegation is common and returns to information production are usually low.

Asymmetric or Incomplete Information about Asset Values?

Review of Financial Studies 2020 33(7), 2898-2936
We provide a new framework for using text as data in empirical models. The framework identifies salient information in unstructured text that can control for multidimensional heterogeneity among assets. We demonstrate the efficacy of the framework by reexamining principal-agent problems in residential real estate markets. We show that the agent-owned premiums reported in the extant literature dissipate when the salient textual information is included. The results suggest the previously reported agent-owned premiums suffer from an omitted variable bias, which prior studies incorrectly ascribed to market distortions associated with asymmetric information.