Survival and Performance of Pension Fund Money Managers

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Survival and Performance of Pension Fund Money Managers

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Title: Survival and Performance of Pension Fund Money Managers


1
Survival and Performance of Pension Fund Money
Managers
  • Janis Berzins
  • Charles Trzcinka
  • Indiana University
  • T. Daniel Coggin
  • UNC Charlotte
  • Acknowledgment and disclaimer
  • The authors are grateful for the assistance of
    the Virginia Retirement System, and The Mobius
    Group.
  • The opinions in this presentation are solely
    those of the authors.

2
Why Study Institutional Money Managers?
  • Definition An Institutional Money Manager is a
    Manager who is not covered by the Investment
    Company Act of 1940
  • They manage more money for fewer clients
  • Institutional managers are larger than mutual
    funds and their customers typically have more
    money than the managers
  • The average minimum investment in 2003 for our
    sample is 8.9M.
  • While the average account size for a mutual fund
    is about 28,000 in 2003 according to the Mutual
    Fund Factbook, Investment Company Institute.
  • They are less regulated
  • managers do not own the securities they manage
  • beyond what is required by clients there are no
    reporting requirements, no diversification
    requirements, no restrictions on leverage or
    fees, no advertising rules
  • ERISA rules apply to the client, not to the
    manager
  • All Previous Studies have small samples,
    survivorship bias and selection bias.

3
The Mobius Survey of Institutional Money Managers
  • The Mobius Group,(located in North Carolina)
    surveys money managers every quarter. The 1,000
    or so clients of Mobius use the data in their
    search for better managers. The clients are
    pension fund sponsors, endowment funds,
    investment banks, consultants, mutual funds and
    high net worth individuals.
  • If a manager does not fill out the survey there
    is a high probability that the manager will not
    be included in a search
  • If the manager gives inaccurate information there
    is a high probability that the market will
    penalize the manager
  • June 1993 Survey
  • 871 Domestic Equity Portfolios managed 0.66
    trillion in 79,280 accounts
  • 608 active managers with 0.49 trillion in 62,559
    accounts
  • 25 passive managers with 0.02 trillion in 486
    accounts
  • December 2003 Survey (actual institutional
    portfolios only)
  • 2058 Domestic Equity Portfolios managed 2.55
    trillion in 412,909 accounts
  • 1889 active managers with 2.30 trillion in
    395,907 accounts
  • 68 passive managers with 0.18 trillion in 1,138
    accounts

4
Data Quality Checks
  • Economic Quality Check Mobiuss products must
    meet the market test. Data is their only product.
  • Consultant data only receives an internal check
    and is not sold publicly
  • Data of Mobius and its competitors receives
    internal and external scrutiny.
  • Empirical Quality Checks
  • 10 Mobius Managers were used by Virginia
    Retirement System Mobius Returns Match the
    internal records of the VRS
  • Compare worst decile Mobius Managers with worst
    decile Piper Managers
  • 50 Common Managers in Decile
  • Returns Identical
  • Revision of History between each survey (for
    whole data base)

5
Hypotheses
  • Can Managers add value?
  • Lakonishok, Shleiffer and Vishny (LSV) argue that
    the money management industry is a cottage
    industry riddled with agency costs
  • Coggin, Fabozzi and Rahman (CFR) conclude that
    money-managers add substantial value over style
    benchmarks
  • Christopherson, Ferson and Glassman (CFG)
    conclude
  • persistence of poor performance (negative alphas)
    but not of good performance.
  • Bad managers survive
  • If LSV are correct about agency costs there will
    be an effect on performance
  • Managers are measured by factors other than
    returns. (e.g. supplying style stories). This
    means survival bias should be low or negligible.
  • Loadings on factors will be non-stationary as
    managers change portfolio weights to match client
    perceptions.

6
The Money Manager UniversePortfolios must meet
the following screens
  • The portfolio reports gross returns for at least
    one quarter
  • Net returns are less commonly reported. Managers
    use fee schedules with break points and the
    charged clients depends on the size of the
    account
  • Managers routinely give discounts.
  • The manager includes terminated accounts in the
    portfolios return.
  • Manager can simply report the return of all the
    accounts under management at the end of the
    period, not at the beginning.
  • Portfolio returns can be restated for terminated
    accounts.
  • The manager has full discretion over the account

7
The Mobius Universe of Institutional Money
Managers of Domestic Equity
8
Flexible Regression Model
  • Following Kalaba and Testfatsion(1989)
  • assume and E(et)
    cov(et, e t-k) 0 and Var(et) s2
  • assume the initial density g(ß1) is
    constant(diffuse) and choose those coefficient
    values that maximize the conditional expectations
    E(ß ty1,,yt)
  • algorithm models two sources of error
  • measurement error (the usual regression error)
  • dynamic error (the result of changing betas)
  • Kalaba and Testfatsion show that the collection
    of all possible sse,ssd is bounded away from
    the origin by an envelope. To estimate a point on
    the envelope they propose minimizing a weighted
    sum
  • ?sse
    (1- ? )ssd
  • smoothness in beta changes is used in the
    estimation algorithm, simulation evidence
    suggests the model is robust against large shifts
    in beta.

9
What we think the tables show
  • The survival rate, defined as the number of
    quarters a portfolio exists, is lower than in the
    mutual fund industry and depends on the date the
    portfolio is created
  • There is equally-weighted average survivorship
    bias of 31.4 basis point bias per quarter in
    gross return and an asset weighted bias of 6.4
    basis points.
  • They beat the SP500.
  • The mean SP500 alphas are 65 basis points per
    quarter and a median 26 basis points per quarter.
  • These managers are using size, book-to-market and
    momentum to earn a higher return than the SP500.
  • If managers are penalized for taking momentum
    bets, alphas are negative.
  • The average time-varying alpha is smaller than
    the OLS alpha.
  • SP500 alphas are much more volatile than Fama
    French alphas.
  • The market beta and book to market betas appears
    constant and size betas vary over time.

10
Survivor Returns Less Non Survivor Returns(not
in the paper)
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