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Prediction Markets: What They Are, Why They Matter, and How to Teach Them

From Kalshi to the classroom: Dr. Richard Warr on the economics of belief, market efficiency, and how prediction markets fit into your finance course.

  • Higher Education
  • Event
  • Webinar
  • Virtual
  • Finance
  • Managerial and Corporate Finance
  • 45 Minutes
  • Live Webinar

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Description

Prediction markets are no longer a niche academic concept, they're front-page financial news. Platforms like Kalshi and Polymarket have brought event-based trading into the mainstream, and your students are already paying attention. The question for faculty is: how do we bring this into the classroom in a rigorous and meaningful way?

In this webinar, Dr. Richard Warr, Professor of Finance and Associate Dean at NC State's Poole College of Management, draws on his recent research to explain what prediction markets are, how they work, and why they represent a compelling lens for teaching core finance and economics concepts, from market efficiency and information aggregation to derivatives and behavioral finance.

Attendees will come away with:

  • A clear, teachable framework for explaining prediction markets to students.
  • Practical ideas for incorporating prediction markets into existing courses.
  • A view of where the field is headed and why it matters for business education.

Time Slots

About Your Speaker

Richard Warr

Richard Warr received his PhD in finance from the University of Florida in 1998. Prior to coming to NC State, he taught at Kansas State University. His research focuses on information transmission in markets, equity valuation, short selling, capital structure, risk management, and market microstructure. His publications have appeared in such journals as the Journal of Financial and Quantitative Analysis, Financial Management, the Journal of Corporate Finance, the Journal of Financial Intermediation, and the Journal of Accounting Auditing and Finance. His teaching is in the area of investments, portfolio management, and security analysis.