17 Pages Posted: 18 Oct 2012 Last revised: 31 Oct 2012
Date Written: October 18, 2012
We use the Shiller CAPE Model proposed by Mebane Faber as a template for the exploration of a variety of portfolio optimization methods. By virtue of the Model's systematic allocation to the 'cheapest' markets with the highest theoretical risk premia, the model has the potential to extract high costs from 'behavioural taxes' related to the model’s extreme volatility and drawdown character. We apply several portfolio optimization techniques with the objective of maximizing portfolio Sharpe ratios and minimizing drawdowns, including dynamic volatility weighting, risk parity, target risk and minimum variance. Consistent with recent published research on robust portfolio optimization, return to risk ratios improve broadly, with the greatest impact achieved from procedures that manage positions and/or portfolios to an ex ante target volatility. A theoretical framework is also proposed.
Keywords: CAPE, Shiller, Faber, Butler, Philbrick, Gordillo, GestaltU, Portfolio Optimization, Volatility, Risk Parity, Minimum Variance, Target Volatility, Risk Budget, Volatility Budget, Low Volatility Anomaly
Suggested Citation: Suggested Citation
Butler, Adam and Philbrick, Mike and Gordillo, Rodrigo and Faber, Meb, Global CAPE Model Optimization (October 18, 2012). Available at SSRN: https://ssrn.com/abstract=2163486 or http://dx.doi.org/10.2139/ssrn.2163486