Performance evlaution and portfolio analytics Flashcards
Describe the sharpe ratio and advantages and disadvantages
measures return compensation per unit of total risk, with risk, measured by std. dev. -> slope of CAL
Advantages
Simple to use
Allows comparison across asset classes
Intuitive conceptual interpretation (reward per unit of total risk)
Not affected by leverage
Disadvantages
Assumes that returns follow normal distribution
Does not distinguish between good and bad volatility
Does not distinguish between systematic and idiosyncratic risk
Comparison needed
Describe the sortino ratio and lists advantages and disadvantages
Measures return compensation per unit of bad riks, which is measured by downside deviation (stdev of all returns that are lower than RF)
Advantages
Distinguishes between good and bad volatility
Does not assume that returns follow normal distribution
Allows comparison across asset classes
Intuitive conceptual interpretation
Disadvantages
Noisier than Sharpe ratio when return distribution is symmetric
Does not distinguish between systematic and idiosyncratic risk
Comparison needed
Describe the traynor ratio, and what are advantages and disadvantages
Return compensation per unit of systematic risk, measured by market beta
Advantages
Distinguishes between systematic and idiosyncratic risk
Intuitive conceptual interpretation
Disadvantages
Assumes that beta is positive and constant
Does not distinguish between good and bad beta
Requires beta estimation -> sensitive to chosen benchmark
Comparison needed
Describe jensen’s alpha, and list advantages and disadvantages
Excess return of the portfolio above CAPM
Alpha is the difference between actual return and predicted return
Appropriate when portfolio is part of broader, fully diversified portfolio
Advantages
Simply to compute
Statistical significance easy to test
Level has intuitive interpretation
Direct measure of return added by manager
Disadvantages
Noise in beta estimation leads to noise in alpha estimation
Beta may vary over time due to timing or style switching
Does not distinguish between god and bad beta
Alpha depends on benchmark (factors) in models
Alpha can be simply boosted by using
What are problems for performance measurement?
-Survivorship bias
-Luck
-‘‘Beta in disguise’’
-Lack of data/data manipulation
-> smoothing of returns, non-linear strategies, deviating from proclaimed investment style (style drift)
Why do HF managers increase risk?
Flow-performance relationship: outflows from bad performance are smaller than inflows from good performance -> may give poorly performing managers incentive to gamble
Why do we want to measure performance?
-identifies talent
-Criteria for compensation (only for abnormal returns that cannot be achieved through passive investing)
-Incentivizes HF managers to decide well
What is the information ratio, and its advantages and disadvtages?
Alpha divided by idiosyncratic risk
Pros:
accounts for idiosyncratic risk (deviation from benchmark)
Intuitive conceptual interpretation (active return/active risk)
Cons:
Same as for any measure that uses alpha as input, the same drawbacks as jensen’s alpha
It needs to be compared, it doesn’t say much by itself. IN practice IR of 0.5 is good, IR of >1 is excetional
Describe style analysis, and the steps
We choose style analysis to evaluate funds comapred to passive similar styles. So to evaluate fund strategies, in some cases to replicate them, to build liquid alternatives and to manage risk exposure.
The process
1. regress fund returns on passive style portfolios/benchmarks
2.Regression coefficients constrainted to be nonnegative (MFs cannot short sell) and sum to 1 -> solver required
a. benchmark coefficients reveal implicit weight of each asset class
b. intercept measures average return due to security selection and timing
c r2 measures % of returrn variation due to style choice rather than selection -> style choice matters more than security selection specifics
Describe style analysis issues
-Ambiguity on definitions: what is a value style?
-Style drift
-Depends on appropriate selection of benchmarks
-Not immune to manipulation (return smoothing)
-Statistical testing is difficult, bnechmarks are strongly correlateid
-Yields average style but does not capture rapid style change
Style analysis pros
-Can handle any strategy for which passive indices exist
-Uses only return information (no holding needed)
-Powerful analysis which detects style drift
-Gives insights in how to replicate the funds returns
If alpha is 2%, what is the expected return of a market neutral position?
Alpha + RF