MIP CH 12: Evaluating Portfolio Perfomance Flashcards
1
Q
Roles of performance measurment, performance attribution, and performance appraisal
A
- Performance measurement calculates the rates of return on the account
- Performance attribution inestigates the source of the account’s performance relative to a specific benchmark
- Performance appraisal attempts to draw conclusions on the quality (magnitude and consistency) of the account’s relative performance
2
Q
Time-Weighted Rate of Return (TWR)
A
- Subeperiod returns are calculated every time external cashflows occur, and then are linked together over the entire evaluation period
- Refledts the compound rate of growth over a stated evaluation period of one unit of money initially invested in the account
3
Q
Money-Weighted Rate of Retunr (MWR)
A
- Measures the compound growth rate in the value of all funds invested in the account over the evaluation period
- it is an internal rate of return (IRR) calculation
4
Q
TWR vs. MWR
A
- MWR is the average growth rate of all the money in the account
- TWR is the average growth rate of a signle unit initially invested in the account
- MWR and TWR are close when external CFs under normal econ conditions and external CFs are normal
- MWR and TWR can be materially different if external CFs occur before a period of strong or weak performance
- MWR is sensitive to the size and timing of CFs
- TWR is unaffected by external cashflows
5
Q
Linked Internal Rate of Retunr (LIRR)
A
- LIRR attempts to estimate TWR by calculating the MWR over reasonably frequent time intervals and then chain-linking these returns together.
- LIRR approximation is valid as long as there are no large external cash flows and volitle swings in subperiod performance.
- LIRR is a workaround for the TWR drawback of requiring frequent valutions at each date there is an external cash flow
6
Q
Matrix Pricing
A
- Used for performance valuation of accounts with illiquid assets
- Used to estimate prices for thinly trader fixed income sercurites that are derived from dealer quoted prices for securities with similar attributes (i.e. sector, crediting rating)
7
Q
Breakdown of Portfolio Return
A
P = (P - B) + (B - M) + M = A+ S + M
- B = the return of the benchmark
- M = the return of the market index
- S = B - M = return that reflects the manager’s investment style
- A = P - B = returns from active management decisions
8
Q
Properties of a Valid Benchmark
A
- Unambiguous (identity and weights of securities are clearly defined)
- Investable (it’s possible to hold the benchmark as a portfolio)
- Measurable (benchmark return can be calculated on a frequent basis)
- Appropriate (consistent with the manager’s style)
- Reflective of current investment opinions
- Specified in advance (before the start of an evaluation period)
- Owned (the investment manager should accept the performance of the benchmark)
9
Q
Types of Benchmarks
A
- Absolute: Could be a minimum return target
- Manager Universes: Frequently uses the median fund manager return as a benchmark
- Broad Market Indexes: Includes S&P
- Style Indexes: Represent specific portions of an asset category (e.g., Large-cap)
- Facrtor-Model-Based: The manager’s beta is the basis for the benchmark that specifies the level of return that the account is expected to generate in the absense of any value added by active management.
- Return-Based: Weighted average of the investment style indexes that most closely tracks the manager’s account returns.
- Custom-Security Based: A benchmart that weights a manager’s research universe of investable securities in a particular fashion
10
Q
Problems with Types of Benchmarks
A
- Absolute: Does not satisfy the benchmark validity criteria because it is not investable
- Manager Universe: Fails all tests of benchmark validity except for being measurable
- Broad Market Indexes: They do not work if the manager has a style that is not reflected well in the market index
- Style Indexes: Some style indexes may have too large of a weighting in certain sectors, or not accurately represent the manager’s style
- Factor-Model-Based: Not always intuitive and may not be investable
- Also ambiguous, as it is possible to build multiple benchmarks with the same factor exposures, but generate different returns
- Return-Based:
- Some style indexes might have unacceptable positions for managers
- Requires many months of historical observations to establish a statistically reliable estimate of the weights to each style index
- Custom Security-based: Expensive to construct and maintain, and can have the perception of a lack of transparency
11
Q
Tests of Benchmark Quality
A
- Systematic Biases: Should be minimal systematic biases in the benchmark relative to the account
- Tracking Error: should be low for a good benchmark, and less the volatility of the account’s returns relative to alternative benchmarks
- Risk Characteristics: An account’s exposure to systemic sources of risk should be similar to those of the benchmark over time
- Coverage: proportion or percentage of the account’s market value that is contained in the benchmark (higher the better)
- Turnover: proportion of the benchmark’s market value allocated to purchases during a periodic rebalancing of the benchmark (shouldn’t be excessive)
- Positive Active Positions: A lot of negative active positions indicate the benchmark does not correctly capture the style of the manager.
12
Q
Hedge Funds and Hedge Fund Benchmarks
A
- Because hedge funds are allowed to have short positions in stocks (i.e. negative allocation), our standard return calculation can give crazy results when the long and short positions tend to cancel out, thus making the market value (MV) close to zero)
- One way to create a benchmark for a hedge fund is to have separate benchmarks be set for the long and short positions, and then combine them in appropriate proportions
- Relative benchmarks might not be appropriate for hedge funds with absolute return mandate
13
Q
Sharpe Ratio as Hedge Fund Manager Performance
A
- Used because of the ambiguity of a hedge fund manager’s investable universe of securities
- Can be calculated without reference to the manager’s underlying investment universe
- Has the same benchmark validity criticisms that apply any time we compare a fund’s performance to a universe of other manager’s performances
- Not an accurate performance measure when the investment strategy incorporates a high degree of optionality (skewness)
14
Q
Ways in which a manager can have a positive impact on an account’s returns relative to the benchmark
A
- Selecting superior (or avoiding inferior) performing assets
- Owning the superior (or inferior) assets in greater (lesser) proportions than or held in the benchmark
15
Q
Two main forms of performance attribution
A
- Macro Attribution (conducted on the fund sponsor level)
- Micro Attribution (conducted on the investment manager level)
16
Q
Macro Attribution Inputs
A
-
Policy Allocations:
- fund sponsor determines normal asset allocation weightings, as well as weightings to individual managers within the asset categories
- Normal weightings are based on the fund sponsor’s risk tolerance, long-term expecations, and liabilities of the fund
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Benchmark Portfolio Returns:
- Broad market indexes are normally used as benchmarks for asset categories
- More narrowly focused indexes are used to represent the manager styles
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Fund Returns, Valuations, and External Cash Flows:
- Returns must be calculated at the manager level for each asset category
- if macro attribution is extended to include a value-metric approach, then account valuation and external cash flow data are needed to compute the value impacts of the fund sponsor’s investement decisions