Indirect Incentives of Hedge Fund Managers

AuthorMICHAEL S. WEISBACH,JONGHA LIM,BERK A. SENSOY
Published date01 April 2016
Date01 April 2016
DOIhttp://doi.org/10.1111/jofi.12384
THE JOURNAL OF FINANCE VOL. LXXI, NO. 2 APRIL 2016
Indirect Incentives of Hedge Fund Managers
JONGHA LIM, BERK A. SENSOY, and MICHAEL S. WEISBACH
ABSTRACT
Indirect incentives exist in the money management industry when good current per-
formance increases future inflows of capital, leading to higher future fees. For the
average hedge fund, indirect incentives are at least 1.4 times as large as direct in-
centives from incentive fees and managers’ personal stakes in the fund. Combining
direct and indirect incentives, manager wealth increases by at least $0.39 for a $1
increase in investor wealth. Younger and more scalable hedge funds have stronger
flow-performance relations, leading to stronger indirect incentives. These results have
a number of implications for our understanding of incentives in the asset management
industry.
HEDGE FUND MANAGERS ARE AMONG the most highly paid individuals today.
Kaplan and Rauh (2010) estimate that, in 2007, the top five hedge fund man-
agers earned more than all S&P 500 firms’ CEOs combined. The payoff to
becoming a top hedge fund manager is therefore enormous. The logic of Holm-
strom (1982), Berk and Green (2004), and Chung et al. (2012) provides a frame-
work for understanding hedge fund managers’ careers. Investors allocate capi-
tal to funds based on their perception of managers’ abilities, which is a function
of fund performance. Good performance increases a manager’s lifetime income
directly, through contractual incentive fees earned at the time of performance.
It also increases a manager’s lifetime income indirectly, through higher future
fees both from increased flows of new investment to the fund and from the
mechanical increase in the fund’s asset base. The extremely high level of pay
for top hedge fund managers thus suggests that indirect incentives are likely
to be a significant component of managers’ total incentives, particularly early
in a manager’s career.
Jongha Lim is with California State University at Fullerton. Berk A. Sensoy is with Ohio State
University. Michael S. Weisbach is with Ohio State University, NBER, and SIFR. Wethank Neng
Wang for graciously providing code for evaluating the Lan, Wang,and Yang (2013) model. Andrea
Rossi provided unusually diligent research assistance. For helpful comments and discussions, we
thank Jack Bao, Jonathan Berk, Niki Boyson, Yawen Jiao, Michael O’Doherty, Tarun Ramadorai,
Josh Rauh, Ken Singleton, Luke Taylor, Sterling Yan, two anonymous referees, an anonymous
Associate Editor, and seminar and conference participants at the 2014 AFA meetings, the 2014
Spring NBER Corporate Finance Meeting, American University, Arizona State University, Cali-
fornia State University at Fullerton, Fordham University,Harvard Business School, Northeastern
University, Ohio State University, the University of Florida, the University of Missouri, and the
University of Oklahoma. We have read The Journal of Finance’s disclosure policy and have no
conflicts of interest to disclose.
DOI: 10.1111/jofi.12384
871
872 The Journal of Finance R
In this paper, we estimate the magnitude of these indirect incentives of hedge
fund managers. In particular, we address the following questions. For an incre-
mental percentage point of returns to investors, how much additional capital
does the market allocate to that hedge fund? How much of this additional cap-
ital do hedge fund managers end up receiving as compensation in expectation?
How does this “expected future pay for today’s performance” compare in mag-
nitude with the direct incentive fees that hedge fund managers earn from the
incremental returns? How do these effects differ across types of funds, and over
time for a particular fund? And what are the implications of the existence of
such indirect incentives for hedge fund investors and for our understanding of
contracting more broadly?
We first estimate the relation between hedge fund performance and inflows
to the fund using a sample of 2,998 hedge funds from 1995 to 2010. As predicted
by learning models of fund allocation and consistent with prior work on mutual
funds and private equity funds, this relation is substantially stronger for newer
funds, whose managers’ abilities the market knows with less certainty. For the
average fund, the estimates imply that a one-percentage-point incremental
return in a given quarter leads to a 1.5% increase in the fund’s assets under
management (AUM) from inflows of new investment over the next three years.
For a new fund, the same incremental return results in a 2.1% increase in
AUM from inflows. In addition, performance has a greater impact on flows for
funds engaged in more scalable strategies. These results are consistent with
the view that investors continually update their assessment of managers and
adjust their portfolios accordingly.
The way in which the inflow-performance relation affects managers’ com-
pensation depends on the fee structure in hedge funds. Typically, hedge fund
managers receive a management fee equal to 1.5% of AUM, together with in-
centive fees equal to 20% of profits above a high-water mark (HWM). Good
performance increases managers’ future income because fees will be earned
on inflows of new investment, and also because the asset value of existing
investors becomes larger and closer to the HWM. Valuing a manager’s com-
pensation requires a contingent claims modeling framework to account for the
fact that incentive fees are effectively a portfolio of call options on the fund’s
assets. We use four such models, which allows us to evaluate the sensitivity of
the estimates to different modeling frameworks and parameter choices.
The first model that we use is the model of Goetzmann, Ingersoll, and Ross
(2003, hereafter GIR). GIR provide an analytical formula for calculating the
fraction of a dollar invested in the fund that, in expectation, will be received
by the fund’s managers over the life of the fund. The other three models in-
corporate two real-world features that are missing from the GIR model and
could have a material impact on a manager’s future compensation: future
performance-based flows and the manager’s endogenous use of leverage in
the fund’s portfolio. Each of these features leads to greater compensation, and
hence greater indirect incentives, than would otherwise be the case. The GIR
estimates therefore provide a lower bound on the magnitude of the indirect
incentives faced by hedge fund managers.
Indirect Incentives of Hedge Fund Managers 873
The second model that we use augments the GIR model to accommodate
future performance-based flows. The third model is that of Lan, Wang, and
Yan g (2013, hereafter LWY), in which the manager can endogenously choose the
amount of leverage to use at each point in time. Finally, we present estimates
using an extension of the LWY model that allows for performance-based flows
as well as endogenous leverage. LWY nests GIR, which assumes no leverage
at any time, as a special case so all of our estimates can be thought of as
implications of different versions of the LWY model.
Each of these models provides an estimate of the present value of man-
agers’ compensation per dollar invested in the fund. Together with the flow-
performance relations, these estimates allow us to calculate the magnitude of
indirect incentives facing hedge fund managers. For an incremental percent-
age point or dollar of current returns to the fund’s investors, we calculate the
present value of the additional lifetime income the fund’s managers receive in
expectation due to inflows of new investment and the increase in the value of
existing investors’ assets.
As a benchmark for assessing the importance of this indirect pay for perfor-
mance, we compare its magnitude to the direct performance pay that managers
receive from incentive fees and changes in the value of their own investment in
the fund. We use the Agarwal, Daniel, and Naik (2009) framework to estimate
the change in the value of managers’ current compensation (coming from both
incentive fees and the manager’s own stake in the fund) for an incremental
return.
Our estimates indicate that a one-percentage-point increase in returns gen-
erates, on average, $331,000 in expected direct incentive pay, consisting of
$142,000 in incremental incentive fees and $190,000 in incremental profits on
managers’ personal stakes. Using the GIR model with parameter choices that
yield lower-bound estimates, we calculate that managers also receive $531,000
in expected future fee income, consisting of $248,000 in future fees earned on
the new investment that occurs in response to the incremental performance
and $282,000 in extra future fees earned on the increase in the value of exist-
ing investors’ assets in the fund. Because a one-percentage-point increase in
return is equal to $2.11 million for an average-sized fund in our data, these
calculations imply that on average managers receive 16 cents in direct pay and
at least 23 cents in indirect pay for each incremental dollar earned for fund
investors. The indirect, career-based incentive effect is thus at least 1.4 times
larger than the direct income that managers receive from incentive fees and
returns on their personal investments. Again, this indirect-to-direct incentive
ratio of 1.4 corresponds to model and parameter choices that lead to a lower
bound of estimates of indirect incentives. Under other plausible choices, the
ratio would be substantially higher. The average indirect-to-direct incentive
ratio is 3.5 across all the models and parameter values we consider.
We next find that indirect incentives are even larger for young funds. For
new funds, we estimate indirect incentives to be six to 12 times as large as
direct incentives given the parameters used in LWY. The importance of indirect
incentives declines monotonically as a fund ages, largely as a consequence of

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