In 2003, Michael Lewis' Moneyball introduced readers to the data-driven process employed by the Oakland A's for the purpose of acquiring wins on the cheap. The A's philosophy -- use a player's skills to determine his value and compare it to his cost in the marketplace -- led to a revolution in strategic thinking across every other team sport, in front offices and on the field. Because the logic mirrored that of investors, it led to a bevy of bold-faced names in the financial industry owning franchises across every major U.S. sports league.
Joe Peta examined this critical reasoning overlap in his best-selling memoir, Trading Bases, and wondered, "Why doesn't the financial industry adopt some of the best practices of the sports analytics community as well?" He spent the last ten years doing exactly that at a fintech start-up and hedge funds, often on behalf of some of the country's biggest endowments and pension funds. In fact, at the same time Steve Cohen was buying the Mets and migrating hedge fund talent to the team's front office, Joe was working at Cohen's hedge fund applying the tenets of sports analytics to the firm's roster of portfolio managers.
In Moneyball for the Money Set, Joe pulls back the curtain on his decades of work in the financial industry giving any individual or organization who invests in publicly traded equities the ability to asses the skills of their portfolio managers. For decades, starting with the research of Benjamin Graham and David Dodd, investors have had a roadmap to assess and value securities under consideration for investment. Joe's ground-breaking research aims to give allocators and CIO's the same tool, only in this case, it's PM instead of security analysis.
Unlike the application of analytics at professional sports franchises, the framework in Moneyball for the Money Set is worth a lot more to the user than a shiny trophy. In the hands of many endowments, pensions, multi-manager hedge funds and other institutional investors, it can improve returns by tens and even hundreds of millions of dollars, annually.
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