A Risk Based Approach to Tactical Asset Allocation
University of Turin
November 28, 2011
Faber’s 'A Quantitative Approach to Tactical Asset Allocation' (2009) proposes the use of a very simple trading rule to improve the risk-adjusted returns across various asset classes. The purpose of this paper is to present an alternative and simple quantitative risk based portfolio management that improves the risk-adjusted portfolio returns across various asset classes. This approach, based on the conclusions of Brandolini D. – Colucci S. 'Backtesting Value-at-Risk: A comparison between Filtered Bootstrap and Historical Simulation', has been tested since 1974 for calibration and since 2000 in a real backtest. The asset allocation framework is using a combination of indices, including the Standard&Poors 500, Topix, Dax, MSCI United Kingdom, MSCI France, Italy Comit Globale, MSCI Canada, MSCI Emerging Markets , RJ/CRB, Merril Lynch U.S. Treasuries, 7-10 Yrs , and all indices are expressed in US Dollar. Since 2000 the empirical results present equity-like returns with lower volatility and drawdown and only one negative year both in gross and net of costs returns.
Number of Pages in PDF File: 27
Keywords: asset allocation, expected shortfall, filtered bootstrap, VaR, GDP
JEL Classification: G11, G23, C15
Date posted: November 28, 2011 ; Last revised: December 8, 2011
© 2016 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollobot1 in 0.219 seconds