Research
Research Areas: Machine Learning, Artificial Intelligence, Managerial Accounting, Labor Economics, Prediction Markets, Applied Econometrics, Cryptocurrency and DeFi
Working Papers
- Election Prediction Markets: Evidence from Polymarket, Kalshi, and Robinhood
- This paper provides the first empirical analysis of federally legalized U.S. election prediction markets, using transaction-level data from four major platforms: Polymarket, Kalshi, PredictIt, and Robinhood, during the 15 days preceding the 2024 presidential election. We find that within-platform arbitrage is virtually absent, while persistent cross-platform arbitrage, especially in illiquid contracts, reflects segmentation in liquidity and pricing. Liquidity emerges as the primary driver of price discovery, with Polymarket and Robinhood leading due to deeper markets. Market design also matters, as Polymarket’s limit order book facilitates faster information incorporation than Kalshi’s automated market maker. Finally, large “whale” trades significantly impact prices and order flow, with asymmetric effects.
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- Conferences and Presentations
- Finance Seminar, Baruch College, June 2025
- Finance Seminar, The Hong Kong Polytechnic University, Oct 2025</div>
- Why is it so hard to find a job now? Enter Ghost Jobs
- This paper investigates “ghost jobs”, which are vacancies posted without intent to hire, using a novel dataset of interview reviews from Glassdoor. Using a fine-tuned BERT model, I find that approximately 21% of job postings exhibit patterns consistent with ghost jobs. These are disproportionately concentrated in larger firms and high-skill industries, where firms may benefit from resume collection, market intelligence, or signaling. I also show that incorporating ghost job prevalence helps reconcile the recent disconnect in the Beveridge Curve between vacancy and hiring rates. The results highlight how ghost hiring imposes costs on job seekers, distorts labor market indicators, and warrants closer scrutiny from policymakers.
- How Wash Traders Exploit Market Conditions in Cryptocurrency Markets
- Wash trading, the practice of simultaneously placing buy and sell orders for the same asset to inflate trading volume, has been prevalent in cryptocurrency markets. This paper investigates whether wash traders in Bitcoin act deliberately to exploit market conditions and identifies the characteristics of such manipulative behavior. Using a unique dataset of 18 million transactions from Mt. Gox, once the largest Bitcoin exchange, I find that wash trading intensifies when legitimate trading volume is low and diminishes when it is high, indicating strategic timing to maximize impact in less liquid markets. The activity also exhibits spillover effects across platforms and decreases when trading volumes in other asset classes like stocks or gold rise, suggesting sensitivity to broader market dynamics. Additionally, wash traders exploit periods of heightened media attention and online rumors to amplify their influence, causing rapid but short-lived spikes in legitimate trading volume. Using an exogenous demand shock associated with illicit online marketplaces, I find that wash trading responds to contemporaneous events affecting Bitcoin demand. These results advance the understanding of manipulative practices in digital currency markets and have significant implications for regulators aiming to detect and prevent wash trading.
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- Conferences and Presentations
- The Annual Baruch College/CUNY Southwestern University of Finance and Economics (SWUFE) Research Symposium, Baruch College, May 2025
- Beyond Words: The Differential Impact of Fed Chairs’ Facial Expressions on Financial Markets
- Abstract: This paper explores how Federal Reserve Chairs’ facial expressions during FOMC press conferences influence investor behavior and financial markets. Using facial recognition technology and deepfake simulations on press conference videos from April 2011 to December 2020, I quantify changes in nonverbal signals while controlling for verbal content. My findings reveal that nonverbal cues act as independent public signals that significantly affect market outcomes. Using deepfakes. I uniquely demonstrate that identical facial expressions elicit different market reactions and this depends on the Fed Chair’s identity, tenure, and experience, indicating that investor interpretations are dynamically shaped by perceptions of the Chair. Moreover, the evolving market response over time aligns with the dual-processing, bounded memory model of information processing. Lastly, I find no evidence that Fed Chairs strategically change their facial expressions to influence markets, highlighting the unintentional yet impactful nature of nonverbal communication.
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Dissertation Committee
- Edward Li (Baruch College)
- Lin Peng (Baruch College)
- Svenja Dube (Baruch College)
- Diana Weng (Baruch College)
Advisors
- Yen Tong (Nanyang Technological University)
- Kalin Kolev (Baruch College)
- Mingcherng Deng (Baruch College)
Peer Reviews
- 2025 Reviewer for Journal of International Financial Markets, Institutions & Money
- 2023 Management Science Reproducibility Project
Conferences and Presentations
- AES Baruch Accounting Theory Summer School 2025
- Taught by Ivan Marinovic, Jon Glover, Jeremy Bertomeu
- Hawaii Doctoral Institute Summer 2025
- Taught by Hans Christensen, Brian White, Joe Schroeder, Jennifer Blouin
- Gave presentations in class on selected papers
- 2025 Baruch-SWUFE Research Symposium
- Presented paper
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- 2025 Baruch PhD Research Day in Finance
- Presented Paper
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- 2025 Finance Brownbag
- Presented Paper
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- 2025 Baruch/JFQA Climate Finance Conference
- Participant
- 2025 Baruch-Fordham-Rutgers Trischool Conference
- Participant
- 2024 The Chinese Finance Association TCFA 30th Annual Conference
- Participant
- NYU Accounting Theory Summer School 2024
- Taught by Ilan Guttman, Judson Caskey, Jeremy Bertomeu
- Duke University Accounting Theory Summer School 2024
- Presented paper - “Cybersecurity Disclosures”.
- Taught by Itay Goldstein, Qi Chen, Chandra Kanodia, Thomas Hemmer
Awards
- Mills & Tannenbaum Award 2025
- Donald Vredenburgh Research Grant 2025
My Approach towards Research
- My Thoughts on the Research Journey
- To research is to be an expert steeped in institutional and historical knowledge, but well-versed in the methods of science to derive rigorous proofs of hypotheses. This involves practice because the mind must stretch beyond its plasticity years to be receptive towards all new information. Therefore, I first acknowledge that I do not know much. But if I do not know, the possibility of knowing is always there. If I have concluded, then my mind has become a concrete block. To know is not to identify with knowledge, but to be identified with ignorance, because knowledge is limited but only ignorance can be boundless.