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Communities and regularities in the behavior of investment fund managers.
Flori, Andrea; Pammolli, Fabio; Buldyrev, Sergey V; Regis, Luca; Stanley, H Eugene.
Afiliación
  • Flori A; Department of Management, Economics and Industrial Engineering, Polytechnic University of Milan, 20156 Milan, Italy.
  • Pammolli F; Department of Management, Economics and Industrial Engineering, Polytechnic University of Milan, 20156 Milan, Italy.
  • Buldyrev SV; Center for Analysis, Decisions, and Society, Human Technopole, 20156 Milan, Italy.
  • Regis L; Center for Analysis, Decisions, and Society, Human Technopole, 20156 Milan, Italy; buldyrev@yu.edu hes@bu.edu.
  • Stanley HE; Department of Physics, Yeshiva University, New York, NY 10033.
Proc Natl Acad Sci U S A ; 116(14): 6569-6574, 2019 04 02.
Article en En | MEDLINE | ID: mdl-30894494
ABSTRACT
We analyze a large microlevel dataset on the full daily portfolio holdings and exposures of 22 complex investment funds to shed light on the behavior of professional investment fund managers. We introduce a set of quantitative attributes that capture essential distinctive features of manager allocation strategies and behaviors. These characteristics include turnover, attitude toward hedging, portfolio concentration, and reaction to external events, such as changes in market conditions and flows of funds. We find the existence and stability of three main investment attitude profiles conservative, reactive, and proactive. The conservative profile shows low turnover and resilience against external shocks; the reactive one is more prone to respond to market condition changes; and members of the proactive profile frequently adjust their portfolio allocations, but their behavior is less affected by market conditions. We find that exogenous shocks temporarily alter this configuration, but communities return to their original state once these external shocks have been absorbed and their effects vanish.
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Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2019 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2019 Tipo del documento: Article País de afiliación: Italia