We propose that fund performance can be predicted by its R-2, obtained from a regression of its returns on a multifactor benchmark model. Lower R-2 indicates greater selectivity, and it significantly predicts better performance. Stock funds sorted into lowest-quintile lagged R-2 and highest-quintile lagged alpha produce significant annual alpha of 3.8%. Across funds, R-2 is positively associated with fund size and negatively associated with its expenses and manager's tenure.
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Univ Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USAUniv Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA
Cornell, Bradford
Hsu, Jason
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Univ Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA
Rayliant Global Advisors, Hong Kong, Peoples R ChinaUniv Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA
Hsu, Jason
Kiefer, Patrick
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Protean Capital Res, Los Angeles, CA USAUniv Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA
Kiefer, Patrick
Wool, Phillip
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Rayliant Global Advisors, Investment Solut, Hong Kong, Peoples R ChinaUniv Calif Los Angeles, Anderson Grad Sch Management, Los Angeles, CA 90024 USA
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Department of Asset Management, Cass Business School, Asso. Dept. at Cass Business SchoolDepartment of Asset Management, Cass Business School, Asso. Dept. at Cass Business School
Clare A.
O'Sullivan N.
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University College Cork, Cass Business School, LondonDepartment of Asset Management, Cass Business School, Asso. Dept. at Cass Business School
O'Sullivan N.
Sherman M.
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Department of Economics, University College CorkDepartment of Asset Management, Cass Business School, Asso. Dept. at Cass Business School