Choices under uncertainty and the investment horizon

Abstract Mean–Variance (M–V) is the most popular investment rule employed by both practitioners and researches. For a short-planned investment horizon, this rule generally conforms with expected utility paradigm. However, for a relatively long horizon, generally more than one year, the distributions of returns become positively skewed, hence the M–V rule loses ground. As the horizon increases, by the M–V rule one needs (mistakenly) to increase the weight of bonds in the stock–bond portfolio, e.g., almost 100% in bonds for a 30-year horizon. Expected utility maximization recommending almost 100% in stocks for long horizons. This, gap is of crucial importance, because life expectancy is increasing, implying longer investment horizons. For long horizons the mean–coefficient-of-variance rule conforms with expected utility, as the distributions are close to log-normal. For intermediate horizons one should employ stochastic dominance or direct expected utility maximization.

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Publication Details

Journal
Annals of Operations Research
Published
2024-10-14
DOI
https://doi.org/10.1007/s10479-024-06317-6
Citations
1
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
0.54

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article

Choices under uncertainty and the investment horizon

Haim Levy
1 citations
Annals of Operations Research
Financial Markets and Investment Strategies
0.54
article

Choices under uncertainty and the investment horizon

Haim Levy
article en
1 citations

Abstract

Abstract Mean–Variance (M–V) is the most popular investment rule employed by both practitioners and researches. For a short-planned investment horizon, this rule generally conforms with expected utility paradigm. However, for a relatively long horizon, generally more than one year, the distributions of returns become positively skewed, hence the M–V rule loses ground. As the horizon increases, by the M–V rule one needs (mistakenly) to increase the weight of bonds in the stock–bond portfolio, e.g., almost 100% in bonds for a 30-year horizon. Expected utility maximization recommending almost 100% in stocks for long horizons. This, gap is of crucial importance, because life expectancy is increasing, implying longer investment horizons. For long horizons the mean–coefficient-of-variance rule conforms with expected utility, as the distributions are close to log-normal. For intermediate horizons one should employ stochastic dominance or direct expected utility maximization.

Annals of Operations Research
Hebrew University of Jerusalem (IL)
Hebrew University of Jerusalem
Openalex Percentile: Top 30%
Financial Markets and Investment Strategies
0.54
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