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Event Registration - Webinar - Is Quant Fundamentally Flawed?

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Date:
Thursday, April 16, 2020
Time:
12:00 PM - 2:00 PM Eastern Daylight Time
Webinar for:
Is Quant Fundamentally Flawed?
Featuring Richard Michaud, PhD, New Frontier Advisors and David Esch, PhD, New Frontier Advisors

In a forthcoming paper in the Journal of Investing,* we present important new research on the likely limitations of a number of popular active quant investment strategies.

For nearly thirty years, textbooks, formal university courses, journal articles, conferences, and institutional marketing have touted claims of applications of the Grinold (1989) "Fundamental Law" theory that may add investment value to optimized strategies even when only a small level of information is available. We show that many popular strategies associated with Grinold theory are likely unreliable and self-defeating. This is because estimation error (Michaud 1989) and constraints required in practical application are ignored. We show that far more information than commonly assumed and appropriate portfolio structure are likely necessary for outperformance in practice.

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Richard Michaud, Ph.D.
President & CEO

Dr. Richard Michaud is the President and Chief Executive Officer at New Frontier. He earned a Ph.D. in Mathematics from Boston University and has taught investment management at Columbia University. He is the author of Efficient Asset Management: A Practical Guide to Stock Portfolio Optimization and Asset Allocation (1998, 2nd ed. 2008 with Robert Michaud), a CFA Research Monograph (1999) on Global Asset Management, and numerous academic and research articles available on www.ssrn.com and www.researchgate.net. He is co-holder of four U.S. patents in portfolio optimization and asset management, a Graham and Dodd Scroll winner for his work on optimization, a former editorial board member of the Financial Analysts Journal, associate editor of the Journal Of Investment Management, and former director of the "Q" Group.

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David Esch, Ph.D.
Managing Director of Research

Dr. David Esch is the Managing Director of Research at New Frontier, having joined the firm in 2008. Dr. Esch completed his Ph.D. in Statistics at Harvard University in 2004. His specialties include mathematical statistics, numerical analysis and computation, Bayesian statistics, and econometrics. He is author of the article "Non Normality Facts and Fallacies," (Journal Of Investment Management 1st Quarter 2010), selected as one of the best JOIM papers of 2010, and co-author of many other peer-reviewed journal articles. His educational background also includes a Bachelor of Arts degree from Harvard College and a Masters degree in Mathematics and Statistics from Boston University.

Statement on COVID-19 from CFA Society Boston
In light of Governor Baker's new guidance and the World Health Organization's pandemic classification of COVID-19, CFA Society Boston will be suspending all in-person programs, events, town halls and committee meetings for the months of March and April. We are actively working to shift to livestream and webinar formats for these meetings during this time. If you are currently registered for an event or committee meeting, you will receive a separate email regarding next steps pertaining to that program/meeting. We thank you for your cooperation and understanding, and hope that this measure will limit exposure for people who are likely to be highly susceptible to the COVID-19 virus. Please be sure to visit our website https://www.cfaboston.org/CFAB/COVID19_Response for event specific updates.

CFA Society Boston, like many organizations, is closely monitoring COVID-19. We have been staying up to date with the CDC and WHO information and guidance. If you have any questions, please contact CFA Society Boston .
CE CreditCFA Boston has determined that this event qualifies for 1 CE credit hours under the guidelines of CFA Institute's Continuing Education Program. If you are a CFA Institute member, CE credit for your participation in this event will be automatically recorded in your CE tracking tool.
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