Pioneering Investment Research

Bruce Jacobs and Ken Levy pioneered the “disentangling” of numerous factors that influence stock returns

Proprietary Approach

Ongoing in-house research creates proprietary models 

Multidimensional

Our multidimensional process combines human insight, finance, and behavioral theory with the latest quantitative and statistical methods

Dynamic

Our dynamic, forward-looking approach pursues opportunities in changing market environments

Committed to innovative equity research

As the pioneer of the “disentangling” process that helped revolutionize equity investing, we manage equity strategies for a prestigious global roster of institutional clients.

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Latest News

Oct 11, 2021

3 Share Nobel Economics Prize for Work Using Natural Experiments

by James Comtois, Pensions & Investments, October 11, 2021: David Card of U.C. Berkeley, Joshua D. Angrist of MIT, and Guido W. Imbens of Stanford were recognized for their “innovative use of natural experiments to study difficult-to-answer questions about cause and effect,” noted Bruce Jacobs, adding that the winners... “searched for situations in which chance events and changes in institutional rules and policies create groups of people who are treated differently, setting up what amounts to natural clinical trials.”

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May 03, 2021

Jessica Wachter Named SEC Chief Economist and Director of the Division of Economic and Risk Analysis

Press Release, May 3, 2021: The Dr. Bruce I. Jacobs Chair of Quantitative Finance at the Wharton School, Dr. Jessica Wachter, has been appointed Chief Economist and Director of the Division of Economic and Risk Analysis at the SEC.

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May 01, 2021

Factor Modeling: The Benefits of Disentangling Cross-Sectionally for Explaining Stock Returns

by Bruce I. Jacobs and Kenneth N. Levy, Journal of Portfolio Management, May 2021: More than three decades ago, Bruce Jacobs and Ken Levy introduced the idea of disentangling stock returns across numerous firm characteristic factors. Some years later, an alternative factor model proposed by Fama and French made use of time-series... factors based on portfolio sorts (examples of these time-series factors include the return differences between small- and big-capitalization stocks and between high- and low-book-to-price stocks). Recently, Fama and French found that the cross-sectional approach using firm characteristics is better able to explain stock returns than the time-series approach based on portfolio sorts. In this article, Jacobs and Levy compare the two models and discuss the benefits of the cross-sectional approach for investment management.

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Bruce Jacobs Interview
"Jacobs Levy: The Art and Science of Investing"
Davos 2020, TBD Media
January 2020
Bruce Jacobs Interview
Portfolio Management Research
New York City
Interviewed February 2020
Released May 2020

Concepts that form the foundation of our approach

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Security prices, technology, and prediction

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We are a signatory to the United Nations Principles for Responsible Investment.