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IDSS Distinguished Seminar Series Lisa Goldberg

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James-Stein for eigenvectors: reducing the optimization bias in Markowitz portfolios

Lisa Goldberg (UC Berkeley)
E18-304

Abstract: We identify and reduce bias in the leading sample eigenvector of a high-dimensional covariance matrix of correlated variables. Our analysis illuminates how error in an estimated covariance matrix corrupts optimization. It may be applicable in finance, machine learning and genomics. Biography: Lisa Goldberg is Head of Research at Aperio and Managing Director at BlackRock.  She is…

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MIT Institute for Data, Systems, and Society
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