Daniel Taylor, Ph.D.

Academic Affiliate,
Professor specializing in corporate disclosures, materiality assessments, and analysis of trading activity

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Education

Stanford University (Ph.D. Business)

Bio

Dr. Taylor is currently the Arthur Andersen Chaired Professor at The Wharton School. 

Professor Taylor teaches a cutting-edge undergraduate course—Forensic Analytics—that applies state-of-the-art analytic tools to corporate disclosures and teaches undergraduate and doctoral seminars on data analysis.

He has co-developed and licensed intellectual property related to parsing SEC filings, fraud risk models, and market surveillance. His consulting clients include the DoJ, hedge funds, plaintiff and defense firms, and a Big 4 auditor.

His doctoral students have gone on to become faculty at a variety of leading business schools, including Stanford, MIT, and Chicago.

Relevant Experience

Has acted as an expert or consultant related to:

  • Assessing materiality
  • Best practices in corporate disclosure
  • Allegations of insider trading and 10B5-1 plans
  • Statistical analysis of stock price, trading activity, and fraud prediction

Research

  • Daniel is the world's leading scientific expert on insider trading, and he brings extensive expertise on corporate disclosures, economic materiality, fraud prediction, and market surveillance. He has published extensively on these topics in leading academic journals; led seminars at dozens of top business schools across the globe; and won numerous academic and industry awards.
  • Most recently, his research on insider trading served as the basis for the SEC's new rules on 10B5-1 trading plans; the SEC's decision to mandate electronic filing of Form 144; and the introduction of the Holding Foreign Insiders Accountable Act in the US Senate. 

Education

Stanford University (Ph.D. Business)

AlixPartners’ professionals work closely with several Academic Affiliates who bring deep subject matter expertise in niche areas of economics, financial accounting, and corporate governance.