Standard

The Genesis of Uncertainty: Structural Analysis of Stochastic Chaos in Finance Markets. / Мусаев, Александр Азерович; Макшанов, Андрей; Григорьев, Дмитрий Алексеевич.

в: Complexity, Том 2023, 1302220 , 30.03.2023.

Результаты исследований: Научные публикации в периодических изданияхстатьяРецензирование

Harvard

APA

Vancouver

Author

Мусаев, Александр Азерович ; Макшанов, Андрей ; Григорьев, Дмитрий Алексеевич. / The Genesis of Uncertainty: Structural Analysis of Stochastic Chaos in Finance Markets. в: Complexity. 2023 ; Том 2023.

BibTeX

@article{a75c5c1d35d94008b2cb9b46957f774f,
title = "The Genesis of Uncertainty: Structural Analysis of Stochastic Chaos in Finance Markets",
abstract = "The presented article is methodological in nature and is devoted to the analysis of observation series of financial asset quotation changes in capital markets. The most important feature of these processes is their instability, which manifests itself in high sensitivity to seemingly minor disturbing factors. This phenomenon is well-studied in the theory of nonlinear dynamical systems and is described by models of deterministic chaos. However, for the processes considered in the article, the dynamic instability of the immersion environment is exacerbated by stochastic uncertainty caused by random fluctuations in the pricing process. As a result, describing observation series of quotations of financial assets is difficult because it involves stochastic chaos. This article analyzes and classifies chaotic series of observations to help model and forecast related processes.",
author = "Мусаев, {Александр Азерович} and Андрей Макшанов and Григорьев, {Дмитрий Алексеевич}",
year = "2023",
month = mar,
day = "30",
doi = "10.1155/2023/1302220",
language = "English",
volume = "2023",
journal = "Complexity",
issn = "1076-2787",
publisher = "Hindawi ",

}

RIS

TY - JOUR

T1 - The Genesis of Uncertainty: Structural Analysis of Stochastic Chaos in Finance Markets

AU - Мусаев, Александр Азерович

AU - Макшанов, Андрей

AU - Григорьев, Дмитрий Алексеевич

PY - 2023/3/30

Y1 - 2023/3/30

N2 - The presented article is methodological in nature and is devoted to the analysis of observation series of financial asset quotation changes in capital markets. The most important feature of these processes is their instability, which manifests itself in high sensitivity to seemingly minor disturbing factors. This phenomenon is well-studied in the theory of nonlinear dynamical systems and is described by models of deterministic chaos. However, for the processes considered in the article, the dynamic instability of the immersion environment is exacerbated by stochastic uncertainty caused by random fluctuations in the pricing process. As a result, describing observation series of quotations of financial assets is difficult because it involves stochastic chaos. This article analyzes and classifies chaotic series of observations to help model and forecast related processes.

AB - The presented article is methodological in nature and is devoted to the analysis of observation series of financial asset quotation changes in capital markets. The most important feature of these processes is their instability, which manifests itself in high sensitivity to seemingly minor disturbing factors. This phenomenon is well-studied in the theory of nonlinear dynamical systems and is described by models of deterministic chaos. However, for the processes considered in the article, the dynamic instability of the immersion environment is exacerbated by stochastic uncertainty caused by random fluctuations in the pricing process. As a result, describing observation series of quotations of financial assets is difficult because it involves stochastic chaos. This article analyzes and classifies chaotic series of observations to help model and forecast related processes.

UR - https://www.mendeley.com/catalogue/53f85cde-28eb-3c73-9e09-b0c479d4d9b6/

U2 - 10.1155/2023/1302220

DO - 10.1155/2023/1302220

M3 - Article

VL - 2023

JO - Complexity

JF - Complexity

SN - 1076-2787

M1 - 1302220

ER -

ID: 103946074