Abstract

http://ssrn.com/abstract=911512
 
 

References (52)



 
 

Citations (14)



 


 



1/N


Victor DeMiguel


London Business School - Department of Management Science and Operations

Lorenzo Garlappi


University of British Columbia (UBC) - Sauder School of Business

Raman Uppal


EDHEC Business School; Centre for Economic Policy Research (CEPR)

June 22, 2006

EFA 2006 Zurich Meetings

Abstract:     
In this paper, we evaluate the out-of-sample performance of the portfolio policy from the sample-based mean-variance portfolio model and the various extensions of this model, designed to reduce the impact of estimation error relative to the benchmark strategy of investing a fraction 1/N of wealth in each of the N assets available. Of the fourteen models of optimal portfolio choice that we evaluate across seven empirical datasets, we find that none is consistently better than the 1/N rule in terms of Sharpe ratio, certainty-equivalent return, or turnover. This finding indicates that, out of sample, the gain from optimal diversification is more than offset by estimation error. To gauge the severity of estimation error, we derive analytically the length of the estimation window needed for the sample-based mean-variance strategy to outperform the 1/N benchmark; for parameters calibrated to U.S. stock market data, we find that, for a portfolio with only 25 assets, the estimation window needed is more than 3,000 months, and for a portfolio with 50 assets, it is more than 6,000 months, although in practice these parameters are estimated using 120 months of data. Using simulated data, we further document that even the various extensions to the sample-based mean-variance model designed to deal with estimation error reduce only moderately the estimation window needed to outperform the naive 1/N benchmark. This suggests that there are still many "miles to go" before the gains promised by optimal portfolio choice can actually be realized out of sample.

Number of Pages in PDF File: 54

Keywords: Portfolio choice, asset allocation, investment management

JEL Classification: G11

working papers series


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Date posted: June 23, 2006  

Suggested Citation

DeMiguel, Victor and Garlappi, Lorenzo and Uppal , Raman, 1/N (June 22, 2006). EFA 2006 Zurich Meetings. Available at SSRN: http://ssrn.com/abstract=911512 or http://dx.doi.org/10.2139/ssrn.911512

Contact Information

Victor DeMiguel
London Business School - Department of Management Science and Operations ( email )
Sussex Place
Regent's Park
London, London NW1 4SA
United Kingdom
Lorenzo Garlappi (Contact Author)
University of British Columbia (UBC) - Sauder School of Business ( email )
2053 Main Mall
Vancouver, BC V6T 1Z2
Canada
Raman Uppal
EDHEC Business School ( email )
10 Fleet Place, Ludgate
London, EC4M 7RB
United Kingdom
+44 20 7871 6744 (Phone)
90-98 Goswell Road
London, EC1V 7RR
United Kingdom
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