Implicit incentives and reputational herding by hedge fund managers
Introduction
A number of theoretical models hypothesize that an individual manager's risk-taking behavior is affected by the risk-taking behavior of other managers in his peer group, a situation that Graham (1999) denotes as “reputational herding.” Specifically, Graham's model predicts that managers with high reputation and salary will herd (i.e., behave similarly to other managers, a risk-averse stance) to protect their current level of status and pay. In a related vein, Prendergast and Stole (1996) argue that managers wish to acquire a reputation for learning, and when faced with new information each period, less-experienced managers overreact to show they have good information. By contrast, more experienced managers under-react so as not to signal that their actions in prior periods were wrong. Thus, assuming that experience and reputation are positively correlated, both models imply that managers will herd more by taking on less risk relative to their peers as they gain more experience.1
A large body of empirical research in labor economics, financial economics, and management supports this theory.2 For example, the empirical results of Graham (1999) (investment newsletters) and Li (2002) (security analysts) indicate an increase in herding over time. Also, in studies of CEOs and top managers, Katz, 1982, Hambrick and Mason, 1984, Finkelstein and Hambrick, 1990, Jaggia and Thosar, 2000, Bertrand and Schoar, 2003 obtain similar results. However, some empirical research finds contradictory evidence; see, for example, Chevalier and Ellison (1999) (mutual funds), Hong, Kubik, and Solomon (2000) (securities analysts), and Lamont (2002) (macroeconomic forecasters) who show that herding decreases in managerial experience.3
Of course, it is difficult to directly observe the reputational concerns of a manager. One way to work around this issue is to focus on the implicit herding incentives for all managers in the industry. If the implicit incentives appear to reward high reputation (and highly paid) managers for protecting their status and pay, one would expect managers to herd more (i.e., decrease risk relative to their peers) as they gain experience, as predicted by Graham, 1999, Prendergast and Stole, 1996. In their analysis of mutual funds, Chevalier and Ellison (1999) take this approach, and show that manager termination is more performance-sensitive for young managers than for old; in other words, that high reputation (and presumably highly paid) managers need not worry too much about protecting their status and pay by herding, since it is the young managers that are most frequently terminated for poor performance. Hence, Chevalier and Ellison (1999) predict that young managers are more likely to herd while old managers are more likely to deviate from the herd, a prediction that is borne out in their empirical analysis.
Using a similar approach to Chevalier and Ellison (1999), I study the implicit incentives and reputational concerns of hedge fund managers. I focus on two implicit incentives present in the hedge fund industry: the desire to avoid termination and the desire to increase capital inflows. I first show that a manager's termination is highly sensitive to his experience level and his propensity to engage in herding behavior.4 More experienced managers are much more likely to be terminated for deviating from the herd than less-experienced managers. The second implicit incentive, to increase market share, is measured using net fund cash flows. Using a fixed-effects regression that follows individual managers over time, I show that more senior managers that deviate from the herd do not attract higher cash inflows than less-experienced managers. This finding, taken together with the above result that deviating from the herd by more senior managers increases the probability of termination, provides a strong incentive for more experienced managers to herd more as their careers progress.
I next test how managers behave in light of these implicit incentives: namely, do more experienced managers herd more? Using a fixed-effects regression, I document a positive relationship between manager experience and herding. This result is statistically significant, consistent across several measures of herding, and robust to a number of control variables. This analysis provides strong empirical support for the theoretical work of Graham, 1999, Prendergast and Stole, 1996.
Finally, I examine the impact of herding behavior on risk-adjusted performance. Although risk-adjusted performance worsens as managers gain experience, this lower performance does not appear to be caused directly by the propensity for more experienced managers to herd more.5
The paper is organized as follows. Section 2 describes the data. Section 3 documents that more experienced managers are significantly more likely than less-experienced managers to be terminated for deviating from the herd. Section 4 shows that more experienced managers that deviate from the herd do not experience higher fund inflows than less-experienced managers (in fact, there is weak evidence that they experience net outflows). The results of 3 Determinants of manager termination, 4 Determinants of fund flows provide evidence of implicit incentives that encourage managers to herd more as their careers progress. Section 5 tests this hypothesis and shows that, indeed, more experienced managers do engage in more herding. Section 6 examines the relationship between fund performance, manager experience, and herding, and Section 7 concludes.
Section snippets
Data
Data was provided by Lipper TASS (formerly Tremont Advisory Shareholders Services (TASS)). Lipper TASS has been collecting hedge fund data directly from managers since the late 1980's, and currently has over 5000 funds in the database. The database includes monthly net-of-fee returns, as well as expenses, fees, size, terms, and style of the funds. Lipper TASS categorizes funds as “dead” when they stop reporting their monthly information to the database. Because managers voluntarily report this
Determinants of manager termination
This section and the next investigate whether hedge fund managers have implicit incentives that could affect their propensity to herd. Two implicit incentives are examined: manager termination/fund closure, and fund flows. These incentives are directly related to a manager's personal goals as well as his professional goals. Since a manager's compensation is linked to both fund performance and fund size, he has incentives to achieve high returns and also to increase fund inflows. These
Determinants of fund flows
As noted above, prior literature indicates that fund inflows are related to fund size, manager income, and survival. Although hedge fund managers receive a significant portion of their compensation from incentive fees, which are based on fund performance, not fund size, they also receive compensation in the form of management fees, which are directly related to fund size. Of course, incentive fees are indirectly related to fund size as well. Thus, achieving positive fund inflows is likely a
The relationship between manager tenure and herding
This section addresses the key question of the paper: given the implicit incentives documented above, do hedge fund managers herd more as their careers progress? To study this question, I separately regress each of the herding measures on manager tenure (the AGERANK variable) and a number of explanatory variables. As in the flow regressions of Section 4, a fixed-effects methodology is used to control for fund-specific effects. Thus, a positive coefficient on AGERANK indicates that fund managers
The relationship between manager tenure and fund performance
I have established that hedge fund managers have implicit incentives to herd more as they gain experience, and demonstrated that more senior managers do indeed herd more. In this section, I investigate whether this propensity to herd more over time is related to fund performance. In Table 7, I estimate a fixed-effects regression of risk-adjusted performance, measured as the alpha from a nine-factor regression model, on manager tenure and each of the herding measures separately.19
Conclusion
In this paper, I investigate whether herding behavior differs systematically among managers with different levels of experience, as measured by the number of years a manager is involved with his fund. Implicit incentives in the hedge fund industry drive this behavior: more experienced managers that deviate from the herd are more likely to be terminated than their less-experienced counterparts, and also do not experience an increase in fund inflows. Consistent with these implicit incentives,
Acknowledgment
I would like to thank an anonymous referee, Vikas Agarwal, Paul Bolster, Richard Brealey, Stephen Brown, Steve Buser, Mike Cliff, Mike Cooper, Dave Denis, Diane Denis, Jean Helwege, David Hirshleifer, Kewei Hou, Andrew Karolyi, Bing Liang, Bernadette Minton, John McConnell, Robert Mooradian, Narayan Naik, Karen Wruck, and especially René Stulz (my dissertation advisor), and seminar participants at The Ohio State University, Purdue University, Northeastern University, BSI Gamma's 2005 meeting at
References (44)
- et al.
Herding over the career
Economics Letters
(1999) Macroeconomic forecasts and microeconomic forecasters
Journal of Economic Behavior and Organization
(2002)- et al.
The hazards of underperformance: a Cox regression analysis
Journal of Empirical Finance
(1999) - et al.
The performance of hedge funds: risk, return, and incentives
Journal of Finance
(1999) - et al.
Risks and portfolio decisions involving hedge funds
Review of Financial Studies
(2004) - et al.
Role of managerial incentives and discretion in hedge fund performance
Journal of Finance
(2009) - et al.
The alpha and omega of hedge fund performance measurement
Edhec Risk and Research Asset Management Centre
(2003) - et al.
Survival, look-ahead bias, and the persistence in hedge fund performance
Journal of Financial and Quantitative Analysis
(2005) A Theory of Conformity
Journal of Political Economy
(1994)- et al.
Managing with style: the effect of managers on firm policies
Quarterly Journal of Economics
(2003)
Of tournaments and temptations: an analysis of managerial incentives in the mutual fund industry
The Journal of Finance
Conditions for survival: changing risk and the performance of hedge fund managers and CTA's
The Journal of Finance
On persistence in mutual fund performance
The Journal of Finance
Risk-taking by mutual funds as a response to incentives
The Journal of Political Economy
Career concerns of mutual fund managers
Quarterly Journal of Economics
Regression models and life tables (with discussion)
Journal of the Royal Statistical Society
Do behavioral biases affect prices?
The Journal of Finance
Agency problems and the theory of the firm
The Journal of Political Economy
Do investor sophistication and trading experience eliminate behavioral biases in financial markets?
Review of Finance
Top-management team tenure and organizational outcomes: the moderating role of managerial discretion
Administrative Sciences Quarterly
Performance characteristics of hedge funds and commodity funds: natural versus spurious biases
Journal of Financial and Quantitative Analysis
Hedge fund benchmarks: a risk-based approach
Financial Analyst Journal
Cited by (51)
Herding in the cryptocurrency market: A transaction-level analysis
2024, Journal of International Financial Markets, Institutions and MoneyIs institutional herding efficient? Evidence from an investment efficiency and informational network perspective
2023, Journal of Behavioral and Experimental FinanceMomentum trading in the NFL gambling market
2023, Finance Research LettersInvestor protection, hedge fund leverage and valuation
2022, North American Journal of Economics and FinanceHedge fund sales fees and the flow of funds around the world
2022, Economic ModellingMutual fund (sub)advisor connections and crowds
2022, Journal of Empirical FinanceCitation Excerpt :We hypothesize that the factor most related to our study is career concerns stemming from competition in the mutual fund industry. Several studies provide evidence that herding behavior can be influenced by career concerns (e.g., Brown et al., 2013; Boyson, 2010; Popescu and Xu, 2014). Our study differs from this literature because we measure heterogeneous career concerns pairwise between funds, and show that funds tend to herd towards other funds’ managed by advisors that could potentially replace them.