Sophie Shive and Hayong Yun
University of Notre Dame
October 24, 2011
In August, Mohnish Pabrai took part in Brown University's Value Investing Speaker Series, answering a series of questions from students. Q3 2021 hedge fund letters, conferences and more One of the topics he covered was the issue of finding cheap equities, a process the value investor has plenty of experience with. Cheap Stocks In the Read More
Institutional capital is relatively patient. This provides an opportunity for institutions to profit from predictable, investor-flow-induced mutual fund trades. Cash must be available for mutual fund investors to withdraw on short notice, and there are extensive limitations on which assets mutual funds can invest in, along with detailed portfolio disclosure requirements. Hedge funds, which cater to more sophisticated investors, are free to choose portfolios and leverage, as well as when to return capital to investors.
While these regulations were meant to protect mutual fund investors, they may instead harm them by making mutual funds too predictable, as Wermers (2001) anticipates in an article in the Investment Company Institutes Perspective: Front running of mutual fund trades could significantly increase, which could increase fund trading costs.”
Berk and Green (2004) show theoretically that mutual fund investors rationally chase fund returns, making fund flows predictable and good candidates for predation. Brunnermeier and Pedersen (2005) show that predatory trading, trading that induces and /or exploits the need of other investors to reduce their positions, is protable for the predators, harmful to the victims, and affects prices. Recent empirical work (e.g., Warther, 1995; Coval and Staord, 2007; Lou, 2010; Ben-Rephael, Kandel, and Wohl, 2011) nds that investor ows into mutual funds, in aggregate or at the fund level, are robustly related to past flows and returns at various horizons. Wermers, Yao, and Zhao (2010) show that publicly disclosed mutual fund portfolio holdings contain valuable information on future returns. Mutual funds are also predictable in their response to flows. Coval and Stafford (2007) and Lou (2010) nd that mutual funds tend to expand and contract their portfolios in their existing proportions, which enables one to predict which stocks the funds will trade. Coval and Staord (2007) also show that front running anticipated trades by distressed mutual funds is a protable strategy. This evidence may have fallen on receptive institutional ears.
Perhaps relatedly, Ackermann, McEnally, and Ravenscraft (1999) find that hedge funds earn relatively high abnormal returns. Agarwal, Daniel, and Naik (2009) show that funds with a higher degree of managerial discretion, approximated by longer lockup, notice, and redemption periods, deliver superior performance.4 Some of these excess returns to patient capital could be related to anticipation of mutual fund flows and trades. Research also finds that increased disclosure is related to lower mutual fund performance. Parida and Teo (2010) nd that funds reporting semi-annually outperform quarterly funds; this gap disappears after 2004, when all funds are required to report quarterly.
In this paper, we explore whether institutions, and hedge funds in particular, profitably trade on anticipated aggregate mutual fund flows. Since 13F filings only present long positions, we focus on the relationship between changes in institutional long positions and predicted aggregate mutual fund flows. Our focus on aggregate mutual fund
flows is different from Brunnermeier and Pedersen (2005) and Coval and Stafford (2007), who focus on the more targeted type of predation of individual distressed funds. Also, given that our study only captures institutional long positions, our estimate of anticipatory trading is most likely conservative.
We make several contributions to the literature. First, we show that 13F ling institutions of types 4 and 5 (independent investment advisers and other institutions that are not banks, insurance companies or mutual funds), and hedge funds in particular, trade on quarter-ahead expected mutual fund flows in the 2003-2010 period. Using past work as a guide, our prediction model uses lagged flows and mutual fund returns as predictors and the fact that mutual funds tend to scale their existing portfolios up or down in response to flows.
H/T Alpha Architect
See full “Are Mutual Funds Sitting Ducks?” in PDF format here via utexas.edu