Portfolio Risk and Return
9 important questions on Portfolio Risk and Return
Under what beliefs about market pricing would an investor choose a passive investment strategy versus active portfolio management?
An investor would choose active portfolio management if they believe market prices are mispriced. Active managers deviate from market weights by overweighting undervalued securities and underweighting overvalued securities.
Why does unsystematic risk not increase expected returns under CAPM?
How can beta be calculated (through covariance and correlation), and what does beta measure?
Have a look Los 84.e for both equations:
So you can do it through covariance and with correlation
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Interpret the following beta values:
β = 1
β > 1
β < 1
β = 0
- β = 1 → same systematic risk as the market
- β > 1 → more sensitive than the market (higher systematic risk)
- β < 1 → less sensitive than the market (lower systematic risk)
- β = 0 → no correlation with the market
1 = market, >1 = aggressive, <1 = defensive, 0 = no market link.
Just take a look, so you know:
CAPM describes how prices would look in a perfect, simplified world.
The assumptions are there to:
- remove noise,
- remove unfair advantages,
- and isolate one thing only: how risk is priced.
The capital asset pricing model (CAPM) requires several assumptions:
- Markets are free of frictions like costs and taxes.
- All investors plan using the same time period.
- All investors have the same expectations of security returns.
- Investments are ininitely divisible.
- Prices are unaffected by an investor’s trades.
What is the Security Market Line (SML)?
The security market line (SML) is a graphical representation of the CAPM that plots expected return versus beta for any security.
How do CAPM and the SML help determine whether a security is overvalued or undervalued?
Compare it to the analyst’s expected return:
- Expected > Required → Undervalued
- Expected = Required → Fairly valued
- Expected < Required → Overvalued
What does the Sharpe ratio measure, and how is it calculated?
- E(R p ) = expected return of the portfolio
- Rf = risk-free rate
- σp = standard deviation of portfolio returns
Intuition with an example (no math)
- Portfolio A: high return, very high volatility
- Portfolio B: slightly lower return, much lower volatility
B may be better because it gives more return per unit of risk.
That’s exactly what the Sharpe ratio captures.
What is attribution analysis and why is it used?
The question on the page originate from the summary of the following study material:
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