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This article is cited in 2 scientific papers (total 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.
Citation:
V. N. Gridin, A. Yu. Golubin, “Design of efficient investment portfolios with a shortfall probability as a measure of risk”, Avtomat. i Telemekh., 2023, no. 4, 131–144; Autom. Remote Control, 84:4 (2023), 434–442
Linking options:
https://www.mathnet.ru/eng/at16167 https://www.mathnet.ru/eng/at/y2023/i4/p131
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