Chapter 5: Portfolio Theory Flashcards
Modern portfolio theory
Specifies a method for an investor to construct a portfolio that gives the maximum return for a specified risk, or the minimum risk for a specified return.
Actuarial risk
Risk that the investor fails to meet his or her liabilities.
7 Assumptions of Mean-variance Portfolio Theory
- All expected returns, variances and covariances of pairs of assets are known
- Investors make their decisions purely on the basis of expected return and variance
- Investors are non-satiated
- Investors are risk-averse
- fixed single-step time period
- no taxes or transaction costs
- Assets may be held in any amounts
2 Assumptions of Efficient portfolio theory
- Investors are never staited
- Investors dislike risk
Inefficient portfolio
If the investor can find another portfolio with the same/higher expected return and lower variance, or the same/lower variance and higher expected return.
Efficient portfolio
If the investor cannot find a portfolio with a higher expected return and the same/lower variance or a lower variance and the same/higher expected return.
Opportunity set
The set of points in E-V space that are attainable by the investor based on the available combinations of securities.
Indifference curves
join points of equal expected utility in E-V space.
Optimal portfolio
The portfolio that maximises the investor’s expected utility.
7 Key factors that might influence the investment decision
- Expected return & variance
- Higher moments of the distribution of returns such as skewness and kurtosis
- Suitability of the asset for an investor’s liabilities
- taxes & investment expenses
- Marketability of the asset
- restrictions imposed by legislation
- restrictions imposed by the fund’s trustees
State 2 conditions that need to be met in order for mean-variance portfolio theory to be consistent with utility theory.
- Investors have quadratic utility functions
- Investment returns are normally distributed (or elliptically symmetrically distributed)
Explain 2 Benefits of diversification
- Return on the portfolio is less exposed to the specific risks of any one component.
- the correlation components become less important, therefore variance of return is minimised.
Outline the limitations of CAPM
- Empirical studies don’t support it
- It does not account for taxes, inflation, or situations in which no riskless asset exists
- It does not consider multiple time periods or optimisation of consumption over time.
Key defining properties of brownian motion
- Independent increments
- Stationary increments
- Gaussian increments
- Continuous sample paths
- B0 = 0
- Cov(Bs, Bt) = min(s, t)
- {Bt, t>= 0} is a Markov process
- {Bt, t>= 0} is a Martingale
- {Bt, t>= 0} returns infinitely often to 0 (or indeed to any other level)
- Scaling property
- Time inversion property