Portfolio Theories and Models Flashcards
Modern Portfolio Theory (MPT)
Theory based on research by Harry Markowitz and others. Created a model for investment.
seeks to create efficient portfolios by maximizing portfolio returns for a given or acceptable level of risk. The benefits of (low and negative) correlations between investments in the portfolio led to key characteristic of MPT being diversification. Efficiently constructed portfolios
You may maximize returns for a given level of risk or you may minimize risk for a target amount of return.
Assumptions of MPT
Normal return distributions Fixed asset correlations Investors are rational Investors are risk averse Risk is known and constant All information is public No taxes or transactions costs
Market Risk Premium
The risk premium on the market portfolio will be proportional to its risk and the degree of risk aversion of the investor: E(Rm)-Rf = A(SDm)^2
where (SDm)^2 is the variance of the market portolio and A is the average degree of risk aversion across investors
The risk premium on individual securities
is a function of the individual security’s contribution to the risk of the market portfolio.
Mean Variance Optimization
developed by Harry Markowitz and considered a core tenant of MPT, MVO is a quantitative model designed to select securities for inclusion in an “optimal” portfolio that maximizes return for a stated level of risk
Technically speaking, “Portfolios on the mean variance efficient frontier are found by searching for the portfolio with the least variance given some minimum return.”
MVO inputs
• Inputs necessary:
Security’s expected returns
Expected risk (e.g., standard deviations)
Expected cross security correlations
The Efficient Frontier
a set of optimal portfolios with the highest expected return for a set (or defined) amount or risk as measured by standard deviation
- theoretically demonstrates the best use of investment capital “IF” optimizing for risk adjusted return is the objective
- optimal portfolios that lie on the efficient frontier demonstrate more effective diversification
Capital Allocation Line (CAL)
sometimes called the Capital Asset Line
• Defined: this line represents all possible combinations of risk free and risky assets; represents possible returns by taking on different levels of risk
CML (capital market line) is a special case of the capital allocation line (CAL) where the risk portfolio is the market portfolio.
Criticisms of MPT
- Investment returns are not normally distributed
- Asset correlations are not fixed
- Investors are not rational
- behavioral economics
- technical analysis
- Investors are not exclusively risk averse
- Risk is not known and constant
- All information is not publicly known
- Taxes and transactions costs are real
The slope of the CAL
If you choose the CAL with the highest slope, that is the Sharpe ratio of the portfolio
A “kinked” CAL
indicates that:
a. leverage is being used, and
b. the rate to borrow exceeds the lending rate
Markowitz Portfolio Selection Model - which portfolios to take on the efficient frontier?
All portfolios that lie on the minimum variance frontier from the global minimum variance portfolio and upward provide the best risk return combinations (don’t select portfolios on the lower portion of the parabola… duh)
Markowitz Portfolio Selection Model
Everyone invests in P, regardless of their degree of risk aversion.
–More risk averse investors put more in the risk free asset.
–Less risk averse investors put more in P.
P is the Optimal Risky Portfolio
Brinson Beebower & Hood (study)
1986 study of 91 of the largest pension funds
Conclusion: regarding the determinants of portfolio performance
–Asset allocation is the primary determinant of a portfolio’s return variability
–Security selection and market timing played only a minor role in portfolio performance
The Black Litterman Model
- Created by Fischer Black and Robert Litterman
- Combines CAPM, MPT, and MVO
- Creates return forecasts that allows one to employ tactical asset allocation.
- Overcomes return sensitivity issues with prior models.
- Allows the user flexibility to change data (e.g., risk and return assumptions) and add more data points (e.g., asset classes, invest styles, etc.).
- Is subject to input error and faulty assumptions made by the user.