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Communities and regularities in the behavior of investment fund managers.


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.

SUBMITTER: Flori A 

PROVIDER: S-EPMC6452657 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Communities and regularities in the behavior of investment fund managers.

Flori Andrea A   Pammolli Fabio F   Buldyrev Sergey V SV   Regis Luca L   Stanley H Eugene HE  

Proceedings of the National Academy of Sciences of the United States of America 20190320 14


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  ...[more]

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