Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/45354 
Year of Publication: 
2011
Series/Report no.: 
Discussion Papers in Statistics and Econometrics No. 2/11
Publisher: 
University of Cologne, Seminar of Economic and Social Statistics, Cologne
Abstract: 
We introduce a measure of diversification for portfolios comprising d risky assets. This measure relates the smallest possible return variance among these d assets to the overall portfolio return variance, yielding the portion of non-diversifiable risk. In the context of normally distributed asset returns, its estimator and finite-sample properties are explored when being applied to the trivial asset allocation strategy. An overview of different previous approaches towards the measurement of diversification is provided, and the shortcomings of some of these approaches are illustrated. A categorization of tests regarding the portfolio return variance is given, especially for comparing naively allocated with minimum-variance portfolios. The empirical part of this work is carried out on monthly return data for the S&P500 constituents, with a return history spanning the last five decades. When measuring the diversification of naively allocated 40-asset portfolios, the average degree of diversification barely exceeds 60%. This result indicates that - for the mutual fund manager as well as for the private investor - well-founded selection of assets indeed leads to better portfolio diversification than naive allocation does.
Subjects: 
Diversification
Portfolio Management
Naive Portfolio
Variance Estimation
Finite-Sample Distribution
S&P500
JEL: 
C13
C16
C58
G11
Document Type: 
Working Paper

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