Postroenie effektivnykh investitsionnykh portfeley s veroyatnost'yu padeniya final'nogo kapitala investora nizhe ustanovlennogo urovnya v kachestve mery riska
- Authors: Gridin V.N1, Golubin A.Y.1,2
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Affiliations:
- Center of Information Technologies in Design, Russian Academy of Sciences
- National Research University Higher School of Economics
- Issue: No 4 (2023)
- Pages: 131-144
- Section: Control in Social Economic Systems
- URL: https://ruspoj.com/0005-2310/article/view/646782
- DOI: https://doi.org/10.31857/S0005231023040086
- EDN: https://elibrary.ru/QILIGV
- ID: 646782
Cite item
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.
About the authors
V. N Gridin
Center of Information Technologies in Design, Russian Academy of Sciences
Email: info@ditc.ras.ru
Odintsovo, Moscow oblast, Russia
A. Yu Golubin
Center of Information Technologies in Design, Russian Academy of Sciences; National Research University Higher School of Economics
Author for correspondence.
Email: agolubin@hse.ru
Odintsovo, Moscow oblast, Russia; Moscow, Russia
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