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Contemporary Mathematics and Its Applications, 2015, Volume 95, Pages 3–10
(Mi cma1)
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This article is cited in 1 scientific paper (total in 1 paper)
Problem of selecting an optimal portfolio with a probabilistic risk function
V. A. Gorelika, T. V. Zolotovab a Dorodnitsyn Computing Center of RAS, Moscow, Russia
b Financial University under the Government of the Russian Federation, Moscow, Russia
Abstract:
In this paper, we examine the problem of finding an optimal portfolio of securities by using the probability function of portfolio risk as a constraint. We obtain the value of the risk coefficient for which the problem of maximizing the expectation of the portfolio return with a probabilistic risk function constraint is equivalent to the maximizing the linear convolution of the criteria “expectation—variance”.
Citation:
V. A. Gorelik, T. V. Zolotova, “Problem of selecting an optimal portfolio with a probabilistic risk function”, Contemporary Mathematics and Its Applications, 95 (2015), 3–10; Journal of Mathematical Sciences, 216:5 (2016), 603–611
Linking options:
https://www.mathnet.ru/eng/cma1 https://www.mathnet.ru/eng/cma/v95/p3
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Abstract page: | 167 | Full-text PDF : | 366 |
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