Questions 25 through 30 relate to Performance Attribution.
Malcolm O’Kelly Case Scenario
Malcolm O’Kelly is a performance evaluation consultant working for the Board of
Trustees of the Rutherford University (RU) Pension Fund. The Board has asked O’Kelly
to conduct a macro attribution analysis for the pension fund. O’Kelly gathered the data
shown in Exhibit 1 and Exhibit 2. The one-month return on a U.S. Treasury bill is 0.41
percent.
Exhibit 1
RU Pension Fund Investment Policy Allocations and Benchmark Assignments
Asset Category Policy Allocations Benchmark
Domestic equities
S&P 500
70%
Large-cap Growth Index
60%
Equity Manager A
40%
Equity Manager B
Large-cap Value Index
Lehman Govt./Credit Index
30%
Domestic fixed income
Lehman Int’l. Govt./Credit Index
Fixed-income Manager C
65%
Lehman Treasury Index
35%
Fixed-income Manager D
Exhibit 2
RU Pension Fund One-month Actual and Benchmark Returns
Asset Category Actual Return Benchmark Return
4.46%
4.55%
4.61%
4.84%
4.31%
4.10%
2.56%
2.32%
1.72%
1.99%
2.55%
3.43%
3.90%
Total Fund
3.94%
The Board is considering adding Cottonwood Equity Advisors as their third domestic
equity manager. In their proposal to the Board, Cottonwood claims to generate positive
alpha by overweighting sectors that they expect will outperform the overall benchmark
portfolio. Cottonwood also attempts to enhance overall return by overweighting
securities their analysts have identified as undervalued. The Board asked O’Kelly to
perform a micro attribution analysis of Cottonwood’s equity portfolio. O’Kelly’s
analysis is shown in Exhibit 3.
By accessing this mock exam, you agree to the following terms of use: This mock exam is provided to
Exhibit 3
Micro Attribution Analysis for Cottonwood Equity Advisors Portfolio
Performance Attribution
Sector
Benchma
Total
Portfol
Pure
Within
Allocatio
Valu
io
rk
rk Return
n/
Economic
Weight
e-
Return
(%)
Selection
Selecti
Sectors
Adde
on
Interacti
d
8.7
0.061
0.033
–0.002
0.030
–3.60
9.3
–3.95
Capital goods
Consumer
0.025
1.77
36.2
40.6
–0.007
nondurables
1.92
–0.029
0.001
0.017
0.005
–0.021
0.14
Energy
9.5
0.37
7.3
24.3
–0.004
0.202
2.92
2.05
23.8
–0.005
0.211
Financial
20.5
0.130
0.014
0.147
0.004
18.5
Technology
1.30
2.00
0.002
0.0
Cash/equivale
1.3
–0.014
0.000
–
nts
0.012
100.0 100.0 1.52
1.10 –0.035 0.008 0.451 0.424
Buy/hold +
cash
–0.15
Trading &
other
1.37 1.10 0.27
Total
portfolio
The discussion then turns to fixed-income attribution analysis. Board member Carolyn
Tripp asks O’Kelly about the determinants of fixed-income portfolio returns. O’Kelly
responds that fixed-income portfolio returns can be attributed to an external interest rate
effect and the management effect. Then Tripp asks O’Kelly about analyzing the
management effect. O’Kelly responds that the management effect can be decomposed
into the following components:
• Interest rate management effect
: indicates how well the manager predicts interest
rate changes. Each security must be priced as a default-free security. Then the
Treasury bill rate is added to the returns on the repriced securities to obtain the
interest rate management effect.
•
Sector/quality effect
: measures the manager’s ability to select outperforming
sectors and quality groups. The sector/quality return is estimated by repricing
each security in the portfolio using the average yield premium in its respective
category. A gross return can be then calculated based on this price. The return
from the sector/quality effect is calculated by subtracting the external effect and
the interest rate management effect from this gross return.
Security selection effect: measures how the return on specific securities within a
sector relates to the average performance of the sector. The security selection
effect for each security is the total return for that security less all the other
components. The portfolio’s security selection effect is the arithmetic average of
all the individual security selection effects.
• Trading activity : measures the effect of sales and purchases of securities and is
calculated as the total portfolio return less all the other components.
25. Based on a macro attribution analysis of the information given in Exhibits 1 and
2, the incremental return contribution attributed to the Asset Category investment
strategy is closest to:
A. –0.09%.
B. 3.48%.
C. 3.89%.
26. Based on a macro attribution analysis of the information given in Exhibits 1 and
2, the incremental return contribution attributed to misfit return (i.e., style bias) is
closest to:
B. 0.08%.
C. 0.32%.
27. Based on a macro attribution analysis of the information given in Exhibits 1 and
2, the incremental return contribution attributed to the investment managers is
C. 0.49%.
28. Based on the micro attribution analysis presented in Exhibit 3, which part or parts
of Cottonwood’s strategy most likely succeeded?
A. Sector selection.
B. Securities selection.
C. Neither securities nor sector selection.
29. O’Kelly’s descriptions of the interest rate management effect and sector/quality
effect are most likely correct with respect to:
A. both effects.
B. the interest rate management effect but not the sector/quality effect.
C. the sector/quality effect but not the interest rate management effect.
30. O’Kelly’s descriptions of the security selection effect and trading activity are
most likely correct with respect to:
A. both.
B. the security selection effect, but not the trading activity.
C. the trading activity, but not the security selection effect.
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