Portfolio Optimization
Portfolio Optimization Lecture
$r=w^\prime r$ and $\sigma^2 = w^\prime \Sigma w$
Constrained Optimization
- Objective
- Constraints
- Leverage
- Concentration
- Tracking Error
- Challenges
- Relative returns
- Covariance Matrix
Kelly Criterion
$K=p-\frac{(1-p)}{r}$
- Betting Odds vs Returns
- Assumptions
Risk Parity Portfolios
Example on GitHub
- Challenges
- Leverage
- Asset Class Correlations