Thomas K Brown
Welcome!
I am a Finance PhD candidate at The University of Texas at Austin, McCombs School of Business. I'm interested in the efficacy of market structure on real-world outcomes. This has led me to study asset pricing, market design, and household finance. I am on the job market during the 2025/2026 academic year.
Recent Work
The Quote Not Taken: Inefficient Price Discovery in Opening Auctions
Solo Authored [SSRN Version]
Job Market Paper
This paper provides the first evidence that publicly observable retail order flow predicts inefficient short-horizon return patterns around opening auctions. These dynamics are consistent with temporary price pressure from retail activity that is not fully incorporated into opening auction pricing. A long-short trading strategy that leverages publicly available trade data as a signal yields economically and statistically significant abnormal risk-adjusted returns. Performing a difference-in-differences analysis around the 2020 NYSE floor closure shows that variation in auction design and information availability accounts for a substantial share of the observed return pattern. These findings suggest that despite the relative depth and sophistication of US equity markets, their opening auctions may not fully incorporate available information, limiting their effectiveness as price discovery mechanisms.
Anatomy of Trading Costs for Retail Investors: Savings from Off-Exchange Execution
with Travis L. Johnson, S.P. Kothari, and Eric So [SSRN Version]
Working Paper
Using both public and proprietary order execution data, we show that retail trades executed by wholesalers outside typical exchanges receive significantly more favorable prices, on average, than comparable trades executed on exchanges. Contrary to the claim that brokers sacrifice execution quality for payment for order flow (PFOF), trades executed via Robinhood, a high PFOF broker, receive better-than-average prices. Additional analysis shows this advantageous pricing arises because retail orders exhibit lower levels of adverse selection, and yields no evidence market power drives up retail trading costs. Our estimates and conclusions differ from related research because we analyze a broader sample and weight observations by dollar volume rather than equally. Overall, the zero-commission PFOF model for executing retail trades has lowered total costs below 6bp –- far smaller than they were previously.
Witness to a Merger
with Alex Chan, John Hatfield, and Kurt Sweat
Work in Progress
We find that levels of competition both at the local level and at the national level have meaningful effects on patient level outcomes in the dialysis market. New patient survivability decreases by an additional 1% if the acquisition occurs in a county with no other facilities, compared to facilities acquired in competitive landscapes. Additionally, in counties with 2 facilities, we find that the acquisition has similarly poor outcomes if both facilities are owned by separate large chains as if both are owned by the same large chain (~5% decrease in survivability compared to competitive 2 facility counties). Our results contradict those of the previous literature who find no effect on competition between facilities. We conclude that competition improves patient quality, and that competition only between large chains is insufficient to drive competitive outcomes.