Investment Analysis Flashcards
What is the expected return formula?
What is the excess return formula?
What is the Sharpe ratio?
A measure of the performance of an investment such as a security or portfolio compared to a risk-free asset, after adjusting for its risk
What is the Sharpe ratio formula?
*Solving the maximisation problem
What is the capital allocation line?
A line created on a graph that contains all of the possible combinations of risk-free and risky assets
Also known as Capital Market Line
What is the formula for rate of return of a portfolio?
What is the formula for variance?
What is the correlation coefficient?
What is the utility function?
Shows level of satisfaction associated with all possible outcomes, whether they result in shortfall or surplus
What is the utility function formula?
What is an optimal complete portfolio?
A portfolio where the utility of the investor is maximised
(Dependent on Risk Averse coefficient A)
What is an optimal risky portfolio?
A portfolio that offers the highest reward-to-risk (reward to volatility) ratio among the feasible portfolios
Sharpe ratio is maximised
What doesn’t matter when constructing an optimal risky portfolio?
Risk averse level
(Separation property)
What is separation property?
Clients all use same optimal risky portfolio as their investment vehicle
Risk averse clients invest in the risk-free asset more than risky
Optimal complete portfolio reflect’s clients risk aversion level - optimal risky doesn’t
Risky managers can design optimal portfolio without considering client risk aversion
What is the solution for two risky assets?
Where Wd + We = 1
What is the solution for two risky assets?
Where Wd + We = 1
For an optimal risky portfolio, what is the optimal Sharpe ratio?
Markowitz procedure is the generalised version of this process
For an optimal risky portfolio, what is the optimal Sharpe ratio?
Markowitz procedure is the generalised version of this process
What is the formula for the optimal capital allocation line? (CAL)
We assume that asset allocation is already done and we are working with the optimal CAL
What is the formula for the optimal capital allocation line? (CAL)
We assume that asset allocation is already done and we are working with the optimal CAL
What are the steps for working out the optimal complete portfolio?
- Specify return characteristics (expected returns, variances)
- Establish risky portfolio (asset allocation - Calculated optimal risky portfolio and properties using weights from the ORP)
- Allocate funds between risky portfolio and risk-free asset
- Calculate fraction of complete portfolio allocated to risky portfolio and risk-free
- Calculate share of the complete portfolio invested in each risky asset and risk-free asset
What is numerical optimisation?
Letting the computer solve for optimal weights
What is risk-return analysis?
Analyse the assets to be included in the risky portfolio and derive estimates for expected returns and covariance matrix (estimates used are for the Opimtal Sharpe ratio)
What is the minimum variance frontier?
It is the graph for the lowest possible portfolio variance that is attainable for a given portfolio expected return
What is the global minimum variance portfolio?
The portfolio with lowest variance among all feasible portfolios
How to find the complete portfolio?
- Identify risk-return combinations available from the set of risky assets
- Identify optimal portfolio of risky assets by finding weights that result in highest Sharpe ratio (steepest CAL)
- Choose appropriate complete portfolio by mixing the risk-free asset with optimal risky portfolio
How do you find the covariance matrix using excel?
Data -> Data analysis -> Covariance fills in the lower half
Need to adjust for degree of freedom -> 60/59
How do you find the efficient frontier and optimal CAL?
- Find global minimum variance portfolio G (find minimum variance portfolio)
- Complete efficient frontier (load setting efficient frontier)
- Calculate the optimal CAL
What’s a drawback of the Markowitz procedure?
There are too many estimates needed
(50 stocks = 1325 estimates / 3000 stocks would need 4.5 million estimates)
What do we need to estimate for the Single-index model + its formula?
Regression equation
What is the single-index model?
Alternative to the Markowitz procedure that requires less (3n+2) estimates compared to 5 for each