Dominik Svoboda

Dominik Svoboda

University of Memphis  ·  Fogelman College of Business & Economics

I am a PhD candidate in Finance at the University of Memphis. My research studies how incomplete, delayed, or distorted information affects financial markets, investor behavior, and pricing dynamics — with a focus on information frictions, asset pricing, and behavioral finance. I will be on the job market in 2027-2028.

Information Frictions Asset Pricing Behavioral Finance Market Efficiency Real Estate Finance

Research

Working Papers & Publications

Working Paper

Bot-Induced Social Media Manipulation and Stock Market Distortion

with Daniel Bradley, Jan Hanousek Jr., and Jan Hanousek

Using an exogenous shock to bot activity, we show that bot presence and their impact rise with the ease of infiltrating social platforms. Bots significantly manipulate social media attention and are most likely to target firms that are more volatile with recent momentum and around earnings releases. When bot penetration is high, stock price synchronicity increases and post-earnings announcement drift is stronger, indicating that bots lead to less efficient prices. Bot accounts promoting stocks generate sharp positive returns followed by partial reversals and retail order imbalances likely exacerbating trading frenzies. Overall, bots create information frictions that distort market prices. Our evidence reinforces regulators' concerns about AI-driven stock manipulation.

Working Paper

Information Gaps and Price Efficiency: The Role of Social Media

with Jonathan Brogaard, Jan Hanousek Jr., and Velma Zahirovic-Herbert

We study the role of social media in financial markets in a setting with well-defined information frictions. Using exogenous shocks from natural disasters and a delay in official reporting, we identify periods in which investors lack reliable information about local fundamentals. We show that in the absence of coverage, municipal bond yields exhibit an initial reaction followed by a predictable correction as information becomes available. Exploiting the staggered introduction of location-based social media, we find that these corrections disappear when decentralized information is present. Our results demonstrate that social media improves price efficiency by expanding information availability when traditional sources are limited.

Working Paper · Revise & Resubmit at The Journal of Real Estate Finance and Economics

Beyond the Flood: The Pricing of Media Silence in Housing Markets

with Jan Hanousek Jr. and Velma Zahirovic-Herbert

We examine how housing markets respond to local shocks when public information is asymmetrically distributed. Using major flooding events in Florida, we compare transactions in affected counties with and without local disaster-related media coverage. We find that properties in affected locations without coverage sell at significantly lower prices than comparable properties in covered areas, with media silence adding roughly one percentage point to the post-flood discount. This additional discount is concentrated among in-state and institutional buyers, who are better able to rely on private information and local networks, while out-of-state buyers show no systematic adjustment in media-silent areas. The pricing effect of media silence is most pronounced in higher-income neighborhoods, indicating that information frictions persist even in financially resilient markets. Taken together, the results show that media silence shapes post-disaster valuations, shifts bargaining power toward informed buyers, and reallocates surplus in ways that can widen disparities in recovery.

Publications

Published · The North American Journal of Economics and Finance · 2026

Systematic signals of short squeezes: insights from rare events

with Svatopluk Kapounek and Peter Albrecht

Our paper investigates the determinants of short squeeze occurrences from rare events using a unique hand-collected dataset. Our results show that elevated short interest and spikes in investor attention significantly increase the likelihood of a short squeeze, while institutional ownership has a stabilizing effect. These findings suggest that short squeezes are not purely random events but can be systematically anticipated based on observable market signals. The study offers implications for traders, portfolio managers, and regulators seeking to better understand and monitor the conditions under which short squeezes are likely to occur.

Teaching

Teaching Experience

FIR

Capital Markets

Mendel University in Brno  ·  in-person  ·  2022-2024

FIR

International Finance

Mendel University in Brno  ·  in-person  ·  2022-2024

Experience

Experience & Education

2024 – Present

PhD Candidate in Finance

University of Memphis, Fogelman College of Business & Economics

2022 – Present

PhD Candidate in Finance

Mendel University in Brno, Faculty of Business & Economics

2020 – 2022

Master's degree in Finance

Mendel University in Brno, Faculty of Business & Economics

2017 – 2020

Bachelor's degree in Economics and management

Mendel University in Brno, Faculty of Business & Economics

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