Research output: Contribution to journal › Article › peer-review
The Genesis of Uncertainty: Structural Analysis of Stochastic Chaos in Finance Markets. / Мусаев, Александр Азерович; Макшанов, Андрей; Григорьев, Дмитрий Алексеевич.
In: Complexity, Vol. 2023, 1302220 , 30.03.2023.Research output: Contribution to journal › Article › peer-review
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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