Empirical Financial Economics

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Empirical Financial Economics

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Title: Empirical Financial Economics


1
Empirical Financial Economics
  • 5. Current Approaches to Performance Measurement

Stephen Brown NYU Stern School of Business UNSW
PhD Seminar, June 19-21 2006
2
Overview of lecture
  • Standard approaches
  • Theoretical foundation
  • Practical implementation
  • Relation to style analysis
  • Gaming performance metrics

3
Performance measurement
Leeson Investment Management Market (SP 500) Benchmark Short-term Government Benchmark
Average Return .0065 .0050 .0036
Std. Deviation .0106 .0359 .0015
Beta .0640 1.0 .0
Alpha .0025 (1.92) .0 .0
Sharpe Ratio .2484 .0318 .0
Style Index Arbitrage, 100 in cash at close of
trading
4
Frequency distribution of monthly returns
5
Universe Comparisons
40
Brownian Management
35
SP 500
30
25
20
15
10
5
1 Year
3 Years
5 Years
One Quarter
Periods ending Dec 31 2002
6
Total Return comparison
Average Return
A
B
C
D
7
Total Return comparison
Average Return
A
Manager A best
RSP 13.68
SP 500
B
C
Manager D worst
D
rf 1.08
Treasury Bills
8
Total Return comparison
Average Return
A
B
C
D
9
Sharpe ratio comparison
Average Return
A
B
C
D
Standard Deviation
10
Sharpe ratio comparison
Average Return
A
RSP 13.68
SP 500
B
C
D
rf 1.08
Treasury Bills
Standard Deviation

sSP 20.0
11
Sharpe ratio comparison
Average Return
A
RSP 13.68
SP 500
B
C
Manager C worst
Sharpe ratio
D
Manager D best
Average return rf Standard Deviation
rf 1.08
Treasury Bills
Standard Deviation

sSP 20.0
12
Sharpe ratio comparison
Average Return
A
RSP 13.68
SP 500
B
C
D
rf 1.08
Treasury Bills
Standard Deviation

sSP 20.0
13
Jensens Alpha comparison
Average Return
A
RSP 13.68
SP 500
B
Manager B worst
C
Manager C best
Jensens alpha
D
Average return rf ß (RSP - rf )

rf 1.08
Treasury Bills
Beta
ßSP 1.0
14
Intertemporal equilibrium model
  • Multiperiod problem
  • First order conditions
  • Stochastic discount factor interpretation
  • stochastic discount factor, pricing
    kernel

15
Value of Private Information
  • Investor has access to information
  • Value of is given by
    where and are
    returns on optimal portfolios given and
  • Under CAPM (Chen Knez 1996)
  • Jensens alpha measures value of private
    information

16
The geometry of mean variance
Note returns are in excess of the risk free rate

17
Informed portfolio strategy
  • Excess return on
    informed strategy where is the return on an
    optimal orthogonal portfolio (MacKinlay 1995)
  • Sharpe ratio squared of informed strategy
  • Assumes well diversified portfolios

18
Informed portfolio strategy
  • Excess return on
    informed strategy where is the return on an
    optimal orthogonal portfolio (MacKinlay 1995)
  • Sharpe ratio squared of informed strategy
  • Assumes well diversified portfolios

Used in tests of mean variance efficiency of
benchmark
19
Practical issues
  • Sharpe ratio sensitive to diversification, but
    invariant to leverage
  • Risk premium and standard deviation proportionate
    to fraction of investment financed by borrowing
  • Jensens alpha invariant to diversification, but
    sensitive to leverage
  • In a complete market implies
    through borrowing (Goetzmann et al 2002)

20
Changes in Information Set
  • How do we measure alpha
    when information set is not
    constant?
  • Rolling regression, use subperiods to estimate
  • (no t subscript) Sharpe (1992)
  • Use macroeconomic variable controls Ferson and
    Schadt(1996)
  • Use GSC procedure Brown and Goetzmann (1997)

21
Style management is crucial
Economist, July 16, 1995
But who determines styles?
22
Characteristics-based Styles
  • Traditional approach
  • are changing characteristics (PER,
    Price/Book)
  • are returns to characteristics
  • Style benchmarks are given by

23
Returns-based Styles
  • Sharpe (1992) approach
  • are a dynamic portfolio strategy
  • are benchmark portfolio returns
  • Style benchmarks are given by

24
Returns-based Styles
  • GSC (1997) approach
  • vary through time but are fixed for
    style
  • Allocate funds to styles directly using
  • Style benchmarks are given by

25
Eight style decomposition
26
Five style decomposition
27
Style classifications
GSC1 Event driven international
GSC2 Property/Fixed Income
GSC3 US Equity focus
GSC4 Non-directional/relative value
GSC5 Event driven domestic
GSC6 International focus
GSC7 Emerging markets
GSC8 Global macro
28
Regressing returns on classifications Adjusted R2
29
Variance explained by prior returns-based
classifications
30
Variance explained by prior factor loadings
31
Percentage in cash (monthly)
32
Examples of riskless index arbitrage
33
Percentage in cash (daily)
34
Informationless investing
35
Concave payout strategies
  • Zero net investment overlay strategy (Weisman
    2002)
  • Uses only public information
  • Designed to yield Sharpe ratio greater than
    benchmark
  • Using strategies that are concave to benchmark

36
Concave payout strategies
  • Zero net investment overlay strategy (Weisman
    2002)
  • Uses only public information
  • Designed to yield Sharpe ratio greater than
    benchmark
  • Using strategies that are concave to benchmark
  • Why should we care?
  • Sharpe ratio obviously inappropriate here
  • But is metric of choice of hedge funds and
    derivatives traders

37
We should care!
  • Delegated fund management
  • Fund flow, compensation based on historical
    performance
  • Limited incentive to monitor high Sharpe ratios
  • Behavioral issues
  • Prospect theory lock in gains, gamble on loss
  • Are there incentives to control this behavior?

38
Sharpe Ratio of Benchmark
Sharpe ratio .631
39
Maximum Sharpe Ratio
Sharpe ratio .748
40
Concave trading strategies
41
Examples of concave payout strategies
  • Long-term asset mix guidelines

42
Examples of concave payout strategies
  • Unhedged short volatility
  • Writing out of the money calls and puts

43
Examples of concave payout strategies
  • Loss averse trading
  • a.k.a. Doubling

44
Examples of concave payout strategies
  • Long-term asset mix guidelines
  • Unhedged short volatility
  • Writing out of the money calls and puts
  • Loss averse trading
  • a.k.a. Doubling

45
Forensic Finance
  • Implications of concave payoff strategies
  • Patterns of returns

46
Forensic Finance
  • Implications of Informationless investing
  • Patterns of returns
  • are returns concave to benchmark?

47
Forensic Finance
  • Implications of concave payoff strategies
  • Patterns of returns
  • are returns concave to benchmark?
  • Patterns of security holdings

48
Forensic Finance
  • Implications of concave payoff strategies
  • Patterns of returns
  • are returns concave to benchmark?
  • Patterns of security holdings
  • do security holdings produce concave payouts?

49
Forensic Finance
  • Implications of concave payoff strategies
  • Patterns of returns
  • are returns concave to benchmark?
  • Patterns of security holdings
  • do security holdings produce concave payouts?
  • Patterns of trading

50
Forensic Finance
  • Implications of concave payoff strategies
  • Patterns of returns
  • are returns concave to benchmark?
  • Patterns of security holdings
  • do security holdings produce concave payouts?
  • Patterns of trading
  • does pattern of trading lead to concave payouts?

51
Conclusion
  • Value of information interpretation of standard
    performance measures
  • New procedures for style analysis
  • Return based performance measures only tell part
    of the story
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