Asset Allocation - 2 Flashcards
Optimizer
Most appropriate asset allocation/asset mix
Mean Variance Analysis
-Choose from the efficient portfolios consistent with the investors risk tolerance
-Efficient Frontier
Drawback:
- Highly sensitive to changes in inputs - estimation error.
-The Importance of Quality of Inputs
- Selecting an Efficient Portfolio
Efficient Portfolios
Maximum return for a given level of variance or standard deviation
Minimum Variance Portfolio
“represents the portfolio with the smallest variance of return for its level of expected return”
Global Minimum Variance Portfolio
“has the smallest variance of all minimum-variance portfolios.”
Efficient Frontier
“The portion of the minimum-variance frontier beginning with and continuing above the GMV portfolio is the efficient frontier”
Unconstrained Optimization
Sum of the asset class weights should equal 1 Uses the black two fund theorm
Black two fund theorem
Asset weight of any minimum variance portfolios = linear combination of asset weights of any other two minimum variance portfolios
Sign Constrained Optimization
Asset class weight be non negative and sum be equal to one. No short selling
Corner Portfolio Theorem
- Portfolios hold identical assets 2. the rate of change of asset weight moving from one portfolio to other is constant.
It helps in creating other minium variance portfolios.
The Standard deviation is also the weighted average of the two corner portfolios
Resampled Efficient Portfolio
“Average weights on each asset class
for simulated efficient portfolios with that return rank”
Adv: More diversified and stable
Disadv: Lack of theoretical underpinning for the method and use of historical data
Black Litterman Approach
A. Unconstrained (UBL): Neutral starting point - MSCI World and use Bayensian procedure to determine the weights based on investors preference
Adv: Direct method, well diversified, improved model of MVO (non-unintitutive portfolios)
b. BL: Reverse engineer returns from market portfolio and combines with investor’s views and view adjusted used with MVO and other short selling constraints.
BL model
- Asset allocation is well diversified
- Incorporates investors views and strengthens those views
Steps in BL Model
- Define equilibrium market weights and covariance of the asset classes
- Back solve the equilibrium expected returns
- Express views and confidence of each views - expressed as variance
- Calculate the view adjusted market equilibrium return
- Run mean-variance optimisation
Montecarlo Simulation
Practical issues that are difficult can be grappled using this method
- Terminal wealth path dependent we could use Monte carlo simulation where analytical approach is not feasiable
- Longer time horizon, this method is appropriate