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Portfolios and Optimization. Andrew Mullhaupt. Maximize profit with risk bound:. In ‘unit risk’ coordinates:. Mean-variance portfolio. Portfolio Selection. THE END. Transaction Costs. Commissions and Fees. Taxes. Slippage -. Slippage. Induced Costs. Expected Costs.
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Portfolios and Optimization Andrew Mullhaupt
Maximize profit with risk bound: In ‘unit risk’ coordinates: Mean-variance portfolio Portfolio Selection THE END
Transaction Costs Commissions and Fees Taxes Slippage -
Induced Costs Expected Costs Proportional Costs Trade size
Total Loss Risk relative to optimal mean-variance portfolio Cost relative to Initial Portfolio Loss Mean-variance portfolio Initial Portfolio Portfolio Optimal Portfolio
Loss Portfolio
Mean-variance Portfolio OriginalPortfolio
Trading cannot reduce the loss Mean-variance Portfolio Original Portfolio
No Trade Region = Optimality for Proportional Costs Optimality for Superproportional Costs Contains The No Trade Region
Who Says Say’s Law? • Say’s Law: Supply Creates Demand • In the large? (Supply Side Economics). • In the small? Look for sublinear transaction costs (‘volume attracts volume’). • Not frequent enough to explain the expectation but it could be a variance component.
Modified Steepest Descent Alternate between: Move as far as feasible 1) toward the vertex 2) Toward the minimum along the gradient direction
Time Comparison – 5 instances3000x150 The unstructured method is too slow to compare for enough instances
Question Time Yes, you have questions.