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Dedicated to fostering the profession of quantitative finance

The IAQF is a not-for-profit, professional society dedicated to fostering the profession of quantitative finance by providing platforms to discuss cutting-edge and pivotal issues in the field.


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Upcoming Events

  • IAQF & Thalesians Seminar Series: Prediction Market Accuracy: Crowd Wisdom or Informed Minority? A Seminar by Theis Ingerslev Jensen.

    • 08 Sep 2026
    • 6:00 PM
    • Fordham University McNally Amphitheater 140 West 62nd Street New York, NY 10023
    Register

    Prediction Market Accuracy:

    Crowd Wisdom or Informed Minority?

    A Seminar by Theis Ingerslev Jensen

    Tuesday September 8th, 2026

    6:00 PM Seminar Begins

    7:30 PM Reception


    Hybrid Event

    Fordham University

    McNally Amphitheater

    140 West 62nd Street

    New York, NY 10023


    Free Registration!


    For Virtual Attendees: Please select virtual instead of member type upon registration.

    Abstract:

    Prediction markets produce remarkably accurate forecasts, but the source of this accuracy is poorly understood. Two explanations dominate: crowd wisdom and insider trading. Using the universe of Polymarket transactions, we show it is neither. Instead, accuracy comes from a minority of persistently skilled traders, around 3% of accounts. Unlike insiders, whose private edge is localized, these traders exhibit depth and breadth. They react to public news when it arrives, eliminate law-of-one-price violations, and trade against the crowd’s behavioral mistakes. The crowd, in turn, generates most of the volume but little of the information, and its losses fund the minority’s profits.


    Bio:

    Theis Ingerslev Jensen is an Assistant Professor of Finance at the Yale School of Management. Prior to joining Yale, he obtained his Ph.D. in financial economics from Copenhagen Business School. He conducts research in empirical asset pricing. His projects are often data-intensive, and he is especially interested in studying expectations. Much of Theis Ingerslev Jensen's recent work focuses on prediction markets. 

    Abstract:

    We derive the optimal long-term growth rate for an agent investing in a market composed of a numéraire asset, a risky asset subject to transaction costs, and a liquidity pool within an Automated Market Maker (AMM). We first establish the necessary conditions to ensure a no-arbitrage environment within this market structure. Under these conditions, we determine the asymptotically optimal trading strategy for liquidity providers. Finally, we provide economic intuition for the strategy’s sensitivity to various market parameters, supported by numerical illustrations of our theoretical results.


    Bio:

    Maxim Bichuch holds a M.S. from NYU and a Ph.D. from Carnegie Mellon University both in Financial Mathematics. He was a Postdoctoral Research Associate & Lecturer in the ORFE department in Princeton, and an Assistant Professor at Worcester Polytechnic Institute and Johns Hopkins University, before joining the department of Mathematics at The University at Buffalo. Prior to obtaining his Ph.D. He has also gained corporate experience working for Citigroup and Bear Stearns. His research interests include optimal investment, optimal control, stochastic volatility, credit, funding and counterparty risks, and most recently electricity markets, machine learning and AI, decentralized finance and fintech.

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  • How I Became a Quant - Boston

    • 16 Sep 2026
    • 5:00 PM
    • Boston University Questrom School of Business 595 Commonwealth Ave Boston, MA 02215
    Register

    How I Became a Quant: Boston

    This annual event is a Panel Discussion on Careers in Quantitative Finance, as industry veterans will discuss their experiences, the current economic climate, and career paths in finance and data science.

    Wednesday September 16, 2026

    5:00 PM Program Begins: Panel Discussion

    6:30 PM Reception


    Location:

    Boston University Questrom School of Business

    595 Commonwealth Ave

    Boston, MA 02215


    Moderator: 

    Dan diBartolomeo, President and founder of Northfield Information Services, Inc


    Panelists:

    Bin Shi, Senior Vice President and Portfolio Manager at Acadian Asset Management

    Carlos Morales, Mass Mutual

    Oriol Ripalta I Maso, LSEG, Quantitative Analyst

    More Panelists TBA!


    Panelist Biographies

    Moderator - Dan diBartolomeo is President and founder of Northfield Information Services, Inc. Based in Boston since 1986, Northfield develops quantitative models of financial markets. He sits on boards of numerous industry organizations include IAQF and CQA. He is a director and past president of the Boston Economic Club. His publication record includes more than sixty books, book chapters, and research journal articles. In addition, Dan spent several years as a Visiting Professor at Brunel University and has been admitted as an expert witness in litigation matters regarding investment management and derivatives in both US federal and state courts. He became editor in chief of the Journal of Asset Management at the start of 2019. 

    Bin Shi, PhD, CFA, is a Senior Vice President and Portfolio Manager at Acadian Asset Management, specializing in systematic equity research and portfolio management across developed and emerging markets. With more than 20 years of experience, he combines quantitative analysis, machine learning, and artificial intelligence to develop data-driven investment strategies and research processes.

    Before joining Acadian in 2006, Bin worked at MathWorks, where he contributed to the development of machine learning algorithms for MATLAB’s financial and statistical toolboxes. He holds a PhD in Industrial and Systems Engineering from the Georgia Institute of Technology and a bachelor’s degree from Southeast University in China. Bin also teaches at Boston University’s Questrom School of Business.

    Oriol Ripalta graduated with an MSc in Mathematical Finance from Boston University and holds a BSc in Computer Science and Business Administration. He has previously worked as a software engineer in a couple of roles, using a range of programming languages. He is currently a Quantitative Analyst at LSEG, where I work on the development of ORE.


    Sponsored By:


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more events

Latest News

May 11, 2026

The IAQF Announces the Winners of the Fifteenth Annual IAQF Academic Affiliate Membership Student Competition

New York, NY, May 11, 2026 -- The International Association for Quantitative Finance (IAQF) is pleased to announce the winners of the Fifteenth Annual Academic Affiliate Membership Student Competition. Thirty-one teams representing fifteen academic programs submitted papers in response to this year's competition problem which was titled, Cross-Currency Dynamics in Cryptocurrencies under Stablecoin Regulation. The competition submissions went through a blind, multi-level selection process and were reviewed by a judging panel comprised of IAQF Board Members. Six teams were selected as winners. The winning papers are available with the full press release here. 


February 25, 2026

Bruno Dupire Selected as the Recipient of the 2025 IAQF/Northfield Financial Engineer of the Year Award 

February 25, 2026 – NEW YORK CITY – The International Association for Quantitative Finance (IAQF) and Northfield Information Services have named Bruno Dupire, Global Head of Quantitative Research in the CTO Office at Bloomberg, as the 2025 IAQF/Northfield Financial Engineer of the Year (FEOY). The award will be presented to Dupire at a celebration in New York City on May 19, 2026.

You can read the full press release here.


March 26, 2026 

Antoine Savine, Managing Director, Global Head of Rates Quants at Barclays, Selected as the Recipient of the 2025 IAQF Innovation Award

March 26, 2026 – NEW YORK CITY – The International Association for Quantitative Finance (IAQF) has named Antoine Savine, Barclays’ Rates Quant MD, as the winner of the 2025 Innovation Award. The award, which is now celebrating its third year, will be presented to Dr. Savine at a celebration dinner at the Yale Club in New York City on May 19, 2026.

You can read the full press release here.

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MICHAEL J. BRENNAN, Ph.D.

Dr. Brennan is the former Irwin and Goldyne Hearsh Professor of Banking and Finance at the University of California, Los Angeles, and Professor of Finance at the London Business School. He is currently Emeritus Professor at UCLA and Distinguished Visiting Professor at the University of Manchester. He was educated at Oxford, Pittsburgh and MIT. Dr. Brennan's research interests include asset pricing, corporate finance and market microstructure.

A former President of the American Finance Association, the Society for Financial Studies, and the Western Finance Association, Dr. Brennan has also served as Editor of the Journal of Finance and was the Founding Editor of the Review of Financial Studies. He has also served as a director of the National Bureau of Economic Research. He has received honorary degrees from B.I. (Oslo), Notre Dame University, University of Lancaster, London University, University of St Gallen, University of Stockholm, and the University of Zurich, and was named Financial Engineer of the Year in 2017.

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