1 xix. money management industry. 2 money management industry study of pension fund money managed by...

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1 XIX. Money Management Industry

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Page 1: 1 XIX. Money Management Industry. 2 Money Management Industry Study of pension fund money managed by professionals: Insurance companies, bankers and trust

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XIX. Money Management Industry

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Money Management Industry

Study of pension fund money managed byprofessionals:

Insurance companies, bankers and trust companies,and investment counselors

Why Study1. Professionals on both sides – one on one

relationships corporate treasurer not individual purchaser of service Service often custom designed by seller, e.g. bank

2. No tax impediments to decision making

Disadvantages of Study Data not all in public domain (suspect)

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Strength of Study Great institutional insight

WeaknessNaïve evaluation tools

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Data for Study – SEI – 2 data bases

I. Performance Data base – 769 All Equity Pension Funds, 1983-1989 for study. Initiated by plan sponsor – sponsor asks SEI to monitor a fund and pays for it. If sponsor fires manager or stops using SEI fund disappear

Data is quarterly returns, managers investmentstyle, end of quarter holding

Bias – put in when plan sponsor uses – probablyafter period whose fund did well – add past datawhen put in – when sponsor drops (probablybecause did poorly get rid of data base).

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II. Search Data Base – Used by sponsors to pick money managers SEI selects among managers to include based on good track record and size (money under management). Drop if really bad or because very small. Data is on management firm not on a pension fund. 250 firms at end of 1990. Past data on returns – lots of data on management firm but only as of 1990.

Bias – really serious – pick successful firms that are large – though reluctant to drop firms do if really bad performance or because very small

All of the barriers in both data bases should lead us to overestimate the success of money managers.

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Reasons that the study should make active

managers look good

1. Upward bias in data base*

2. Looks at return before fees (overstate by about 50bp)

3. Excludes cash

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Growth and Performance

N = 8.09 + 1.85 RR (7.97) (7.38)

RR = average 3 year returnN = number of new accounts in next year

Management fees – very slight tendency for good performance to be associated with higher fees. Five year averaging 300 bp per year translates to 5 to 6 basis points increase in fees.

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