Daniel Taylor Affiliate

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Daniel Taylor Affiliate
Daniel Taylor is the Arthur Andersen Chaired Professor at The Wharton School, and director of the Wharton Forensic Analytics Lab. He is one of the most influential and well-respected experts on forensic economics and insider trading. He has published dozens of papers on these topics in major peer-reviewed scientific journals; served on the editorial board of several such journals; led seminars at dozens of top business schools across the globe; and won numerous academic and industry awards.
Outside of academia, Professor Taylor frequently engages with practitioners, regulators, and lawmakers, and his scholarship has shaped the laws that govern US securities markets. For example, his research led Congress to pass the Holding Foreign Insiders Accountable Act which amends Section 16 of the Securities Exchange Act of 1934, and his research led the US Securities and Exchange Commission to adopt new rules related to Rule 10b5-1 planned stock sales; mandate disclosure of corporate insider trading policies; and modernize the reporting of insider stock ownership on Forms 4 and 144.
In addition to his academic and policy work, Professor Taylor has extensive private sector experience in forensic economics, insider trading, and corporate fraud. For example, he has participated in dozens of complex white-collar investigations alongside US law enforcement personnel, and serves as a consultant to the Department of Justice (2021-present), to EY’s Global Forensic Practice (2022-present), and to Kalshi (2026-present). In addition, Professor Taylor regularly consults with a variety of leading law firms on topics related to corporate disclosures, the calculation of economic damages, statistical analysis of stock price and trading data, 10b5-1 plans, share tracing, executive compensation, and forensic analysis.
At Wharton, Professor Taylor teaches a cutting-edge undergraduate course––Forensic Analytics––that applies state-of-the-art analytic tools to topics in forensic economics and fraud detection, and he teaches a doctoral seminar on data analytics and event studies. His doctoral students have gone on to become faculty at a variety of leading business schools, including Chicago, MIT, Northwestern, and Stanford. He received his bachelor’s degree from University of Delaware, his master’s from Duke University, and his PhD from Stanford University.