2020
DOI: 10.1155/2020/8821156
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A Study on the Complexity of a New Chaotic Financial System

Abstract: The interaction of elements in a financial system can exhibit complex dynamic behaviours. In this article, we use a system of differential equations to model the evolution of a financial system and study its complexity. Numerical simulations show that the system exhibits a variety of rich dynamic behaviours, including chaos. Bifurcation diagrams show that the system behaves chaotically over a wide range of system parameters.

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Cited by 14 publications
(26 citation statements)
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“…In 2020, Liao et al [32] presented a new financial model in order to take into account the interaction between the interest rate x(t), the investment demand y(t), and the price index z(t). e system is defined as follows:…”
Section: Propertymentioning
confidence: 99%
See 3 more Smart Citations
“…In 2020, Liao et al [32] presented a new financial model in order to take into account the interaction between the interest rate x(t), the investment demand y(t), and the price index z(t). e system is defined as follows:…”
Section: Propertymentioning
confidence: 99%
“…e study of dynamic behavior, and the control of chaos in financial and economic systems have also been approached in order to understand the dynamic behavior of these systems and stabilize them in order to eliminate undesirable behavior [10,[26][27][28][29][30][31]. In 2020, Liao et al [32] presented a new model to take into account the interaction between the various state variables of the system. e numerical study of this model revealed that it presents complex dynamic behaviors such as period doubling and chaos [32].…”
Section: Introductionmentioning
confidence: 99%
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“…In [9], Chen et al designed simple linear feedback controllers to control and synchronize a fractional order financial system. In 2020, Liao et al [23] presented an alternative model to consider the interplay between the interest rate x(t), the investment demand y(t), and the price index z(t). The authors investigated this model using numerical simulations.…”
Section: Introductionmentioning
confidence: 99%