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Geometric Return and Portfolio Analysis

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Author Info
Brian McCulloch () (The Treasury)

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Abstract

Expected geometric return is routinely reported as a summary measure of the prospective performance of asset classes and investment portfolios. It has intuitive appeal because its historical counterpart, the geometric average, provides a useful annualised measure of the proportional change in wealth that actually occurred over a past time series, as if there had been no volatility in return. However, as a prospective measure, expected geometric return has limited value and often the expected annual arithmetic return is a more relevant statistic for modelling and analysis. Despite this, the distinction between expected annual arithmetic return and expected geometric return is not well understood, both in respect of individual asset classes and in respect of portfolios. This confusion persists even though it is explained routinely in finance textbooks and other reference sources. Even the supposedly straightforward calculation of weighted average portfolio return becomes somewhat complicated, and can produce counterintuitive results, if the focus of futureorientated reporting is expected geometric return. This paper explains these issues and applies them in the context of the calculations underlying the projections for the New Zealand Superannuation Fund.

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File URL: http://www.treasury.govt.nz/publications/research-policy/wp/2003/03-28/twp03-28.pdf
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Publisher Info
Paper provided by New Zealand Treasury in its series Treasury Working Paper Series with number 03/28.

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Length: 16
Date of creation: Dec 2003
Date of revision:
Handle: RePEc:nzt:nztwps:03/28

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Postal: New Zealand Treasury, PO Box 3724, Wellington, New Zealand
Phone: +64-4-472 2733
Fax: +64-4-473 0982
Web page: http://www.treasury.govt.nz
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Related research
Keywords: Arithmetic geometric returns portfolio lognormal distribution.

Find related papers by JEL classification:
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications
D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
H55 - Public Economics - - National Government Expenditures and Related Policies - - - Social Security and Public Pensions

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This page was last updated on 2008-11-13.


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