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This article is cited in 1 scientific paper (total in 1 paper)
Theoretical foundations of continuous VaR criterion optimization in the collection of markets
G. A. Agasandyan A. A. Dorodnicyn Computing Center, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 40 Vavilov Str., Moscow 119333, Russian Federation
Abstract:
The work continues studying the problems of using continuous
VaR criterion (CC-VaR) in
financial markets. The application of CC-VaR in a collection of theoretical markets of different
dimensions that are mutually connected by their underliers is concerned. In a typical model of the
collection of one two-dimensional market and two one-dimensional markets, the most general case
of their conjoint functioning is considered. The rule of constructing a combined portfolio optimal on
CC-VaR in these markets is submitted. This rule is founded on misbalance in returns relative
between markets with maintaining optimality on CC-VaR. The optimal combined portfolio with
three components is constructed from basis instruments of all markets and by using ideas of
randomization in their composition. Also, the idealistic and surrogate versions of this combined
portfolio, which are useful in testing all algorithmic calculations and in graphic illustrating
portfolio's payoff functions, are adduced. The model can be extended without academic difficulties
onto markets of greater dimensions. Also, two truncated variants of problem setting with excluded
either one of one-dimensional markets or the two-dimensional market are fully justified.
Keywords:
underliers, risk preferences function, continuous VaR criterion, cost and forecast densities, return relative function, Newman–Pearson procedure, combined portfolio, randomization, surrogate portfolio, idealistic portfolio.
Received: 27.03.2019
Citation:
G. A. Agasandyan, “Theoretical foundations of continuous VaR criterion optimization in the collection of markets”, Inform. Primen., 13:4 (2019), 36–41
Linking options:
https://www.mathnet.ru/eng/ia626 https://www.mathnet.ru/eng/ia/v13/i4/p36
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Abstract page: | 123 | Full-text PDF : | 32 | References: | 22 |
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