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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2023 Issue 4, Pages 131–144 (Mi at16167)

This article is cited in 2 papers

Control in Social Economic Systems

Design of efficient investment portfolios with a shortfall probability as a measure of risk

V. N. Gridina, A. Yu. Golubinba

a Center of Information Technologies in Design of the Russian Academy of Sciences, Odintsovo, Moscow Oblast, Russia
b National Research University Higher School of Economics, Moscow, Russia

Abstract: The paper presents a constructive description of the set of all efficient (Pareto-optimal) investment portfolios in a new setting, where the risk measure named “shortfall probability” (SP) is understood as the probability of a shortfall of investor's capital below a prescribed level. Under a normality assumption, it is shown that SP has a generalized convexity property, the set efficient portfolios is constructed. Relations between the set of mean-SP and the set of mean-variance efficient portfolios as well as between mean-SP and mean-Value-at-Risk (VaR) sets of efficient portfolios are studied. It turns out that mean-SP efficient set is a proper subset of the mean-variance efficient set; interrelation with the mean-VaR efficient set is more complicated, however, mean-SP efficient set is proved to be a proper subset of mean-VaR efficient set under a sufficiently high confidence level. Besides a normal distribution, elliptic distributions are considered as an alternative for modeling the investor's total return distribution. The obtained results provides the investor with a risk measure, that is more vivid than the variance and Value-at-Risk, and with determination of the corresponding set of effective portfolios.

Keywords: risk analysis, portfolio optimization, value at risk, shortfall probability.

Presented by the member of Editorial Board: F. T. Aleskerov

Received: 21.04.2022
Revised: 05.07.2022
Accepted: 28.07.2022

DOI: 10.31857/S0005231023040086


 English version:
Automation and Remote Control, 2023, 84:4, 434–442


© Steklov Math. Inst. of RAS, 2026