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Mutual Fund Trades: Timing Sentiment and Managing Tracking Error Variance
Author(s) -
Dominic Gasbarro,
Grant Cullen,
Gary S. Monroe,
J. Kenton Zumwalt
Publication year - 2012
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2131655
Subject(s) - mutual fund , variance (accounting) , tracking error , econometrics , computer science , target date fund , tracking (education) , actuarial science , business , economics , financial economics , finance , artificial intelligence , accounting , psychology , open end fund , institutional investor , control (management) , corporate governance , pedagogy
We use portfolio holdings to show that mutual funds preferentially trade stocks according to the stocks’ sentiment betas. Stocks with high sentiment betas are more responsive to investor sentiment and increase (decrease) in value as sentiment increases (decreases). Sentiment-based trades may be motivated by the opportunity to increase fund returns through timing predictability in sentiment, or by management of portfolio risk. Sentiment is mean-reverting, but its level and recent change only partially explain these trades. In contrast, 30 percent of sentiment-based trades are explained by the initial sentiment beta of funds that trade to reduce their tracking error variance.

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