Race influences professional investors' financial judgments.

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ID: 12218
2019
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Ranked #179 of 292 articles by views in Proceedings of the National Academy of Sciences of the United States of America

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Abstract
Of the $69.1 trillion global financial assets under management across mutual funds, hedge funds, real estate, and private equity, fewer than 1.3% are managed by women and people of color. Why is this powerful, elite industry so racially homogenous? We conducted an online experiment with actual asset allocators to determine whether there are biases in their evaluations of funds led by people of color, and, if so, how these biases manifest. We asked asset allocators to rate venture capital funds based on their evaluation of a 1-page summary of the fund's performance history, in which we manipulated the race of the managing partner (White or Black) and the strength of the fund's credentials (stronger or weaker). Asset allocators favored the White-led, racially homogenous team when credentials were stronger, but the Black-led, racially diverse team when credentials were weaker. Moreover, asset allocators' judgments of the team's competence were more strongly correlated with predictions about future performance (e.g., money raised) for racially homogenous teams than for racially diverse teams. Despite the apparent preference for racially diverse teams at weaker performance levels, asset allocators did not express a high likelihood of investing in these teams. These results suggest first that underrepresentation of people of color in the realm of investing is not only a pipeline problem, and second, that funds led by people of color might paradoxically face the most barriers to advancement after they have established themselves as strong performers.
Reference Key
lyonspadilla2019raceproceedings Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Lyons-Padilla, Sarah;Markus, Hazel Rose;Monk, Ashby;Radhakrishna, Sid;Shah, Radhika;Dodson, Norris A Daryn;Eberhardt, Jennifer L;
Journal Proceedings of the National Academy of Sciences of the United States of America
Year 2019
DOI
201822052
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