Normal Asset Allocations and Their Statistical Properties

Author:

Ghezzi Luca1ORCID

Affiliation:

1. Department of Integrated Business Management, LIUC Università Carlo Cattaneo, Corso Matteotti 22, 21053 Castellanza, Italy

Abstract

This study focuses on efficient asset allocations that properly include T-bills, T-bonds, and the S&P 500 stock index. It checks that their annual real rates of linear return are both normal and almost lognormal. It reexamines how efficient portfolios based on the rates of linear return may turn into efficient portfolios based on the rates of logarithmic return. It finds that each efficient asset allocation has the lowest possible standard deviation as well as the highest possible arithmetic and geometric means. It eventually reconsiders the relationship between the confidence interval of a geometric mean and an expected long-run capital accumulation. As a consequence, it bridges a gap in the scientific literature by enabling financial advisors to trade off the mean rate of return on a portfolio more rigorously against the value at risk.

Publisher

MDPI AG

Reference36 articles.

1. Abate, Guido, Bonafini, Tommaso, and Ferrari, Pierpaolo (2022). Portfolio constraints: An empirical analysis. International Journal of Financial Studies, 10.

2. What rate of return can you reasonably expect … or what can the long run tell us about the short run?;Bernstein;Financial Analysts Journal,1997

3. Estimating expected return;Black;Financial Analysts Journal,1993

4. Maginn, John L., Tuttle, Donald L., McLeavey, Dennis W., and Pinto, Jerald E. (2007). Managing individual investor portfolios. Managing Investment Portfolios. A Dynamic Process, Wiley. [3rd ed.].

5. Asset allocation with nonnegative weights and lognormal portfolio returns;Buzzacchi;International Review of Business Research Papers,2020

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