THROUGH 30 RELATE TO PERFORMANCE ATTRIBUTION. MALCOLM O’K...

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.