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Managing Diversification

Attilio Meucci
Bloomberg ALPHA, Portfolio Analytics and Risk


March 12, 2009


Abstract:     
We propose a unified, fully general methodology to analyze and act on diversification in any environment, including long-short trades in highly correlated markets. First, we build the diversification distribution, i.e. the distribution of the uncorrelated bets in the portfolio that are consistent with the portfolio constraints. Next, we summarize the wealth of information provided by the diversification distribution into one single diversification index, the effective number of bets, based on the entropy of the diversification distribution. Then, we introduce the mean-diversification efficient frontier, a diversification approach to portfolio optimization. Finally, we describe how to perform mean-diversification optimization in practice in the presence of transaction and market impact costs, by only trading a few optimally chosen securities. Fully documented code illustrating our approach can be downloaded from MATLAB Central File Exchange

Keywords: entropy, mean-diversification frontier, transaction costs, market impact, selection heuristics, systematic risk, idiosyncratic risk, principal component analysis, principal portfolios, r-square, risk contributions, random matrix theory

JEL Classifications: C1, G11

Working Paper Series

Date posted: March 13, 2009 ; Last revised: March 17, 2009

Suggested Citation

Meucci, Attilio, Managing Diversification (March 12, 2009). Available at SSRN: http://ssrn.com/abstract=1358533


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Contact Information

Attilio Meucci (Contact Author)
Bloomberg ALPHA, Portfolio Analytics and Risk ( email )
731 Lexington Avenue
New York, NY 10022
United States
HOME PAGE: http://www.symmys.com
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