Model of a minimal risk portfolio under hybrid uncertainty

Q4 Engineering Control and Cybernetics Pub Date : 2021-06-01 DOI:10.2478/candc-2021-0016
A. Yazenin, I. Soldatenko
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Abstract

Abstract The article is devoted to the development and study of a model of a minimal risk portfolio under conditions of hybrid uncertainty of possibilistic-probabilistic type. In this model, the interaction of fuzzy parameters is described by both the strongest and the weakest triangular norms. The formula for variance of a portfolio is given that allows for estimating its risk. Models of acceptable portfolios are based on the principle of expected possibility or on the basis of fulfilling the restriction on the possibility/necessity and probability of the level of portfolio return that is acceptable to an investor. Equivalent deterministic analogues of the models are constructed and their solution methods are developed. Theorems describing a set of investment opportunities are proven. The obtained results are demonstrated on a model example.
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混合不确定性下的最小风险投资组合模型
摘要本文致力于可能性概率型混合不确定性条件下最小风险投资组合模型的开发和研究。在该模型中,模糊参数的相互作用由最强和最弱的三角范数来描述。给出了一个投资组合的方差公式,用于估计其风险。可接受投资组合的模型基于预期可能性原则,或基于满足对投资者可接受的投资组合回报水平的可能性/必要性和概率的限制。建立了模型的等效确定性类似物,并发展了它们的求解方法。描述一组投资机会的定理得到了证明。所获得的结果在一个模型示例上进行了验证。
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来源期刊
Control and Cybernetics
Control and Cybernetics 工程技术-计算机:控制论
CiteScore
0.50
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0.00%
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0
期刊介绍: The field of interest covers general concepts, theories, methods and techniques associated with analysis, modelling, control and management in various systems (e.g. technological, economic, ecological, social). The journal is particularly interested in results in the following areas of research: Systems and control theory: general systems theory, optimal cotrol, optimization theory, data analysis, learning, artificial intelligence, modelling & identification, game theory, multicriteria optimisation, decision and negotiation methods, soft approaches: stochastic and fuzzy methods, computer science,
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