Article: Numerical simulation of financial fluctuation period based on non-linear equation of motion Journal: International Journal of Computer Applications in Technology (IJCAT) 2024 Vol.74 No.3 pp.171 - 185 Abstract: The traditional numerical simulation method of financial fluctuation cycle does not focus on the study of non-linear financial fluctuation but has problems such as high numerical simulation error and long time. To solve this problem, this paper introduces the non-linear equation of motion to optimise the numerical simulation method of financial fluctuation cycle. A comprehensive analysis of the components of the financial market, the establishment of a financial market network model and the acquisition of relevant financial data under the support of the model. Based on the collection of financial data, set up financial volatility index, measuring cycle, the financial wobbles, to establish the non-linear equations of motion, the financial wobbles, the influence factors of the financial volatility cycle as variables in the equation of motion, through the analysis of different influence factors under the action of financial volatility cycle change rule, it is concluded that the final financial fluctuation cycle, the results of numerical simulation. The simulation results show that, compared with the traditional method, the numerical simulation of the proposed method has high precision, low error and short time, which provides relatively accurate reference data for the stable development of regional economy. Inderscience Publishers - linking academia, business and industry through research

Title: Numerical simulation of financial fluctuation period based on non-linear equation of motion

Authors: Guixian Tian

Addresses: School of Finance and Economics, Guangdong University of Science and Technology, Dongguan, Guangdong, China; School of Business, Pingxiang University, Pingxiang, Jiangxi, China

Abstract: The traditional numerical simulation method of financial fluctuation cycle does not focus on the study of non-linear financial fluctuation but has problems such as high numerical simulation error and long time. To solve this problem, this paper introduces the non-linear equation of motion to optimise the numerical simulation method of financial fluctuation cycle. A comprehensive analysis of the components of the financial market, the establishment of a financial market network model and the acquisition of relevant financial data under the support of the model. Based on the collection of financial data, set up financial volatility index, measuring cycle, the financial wobbles, to establish the non-linear equations of motion, the financial wobbles, the influence factors of the financial volatility cycle as variables in the equation of motion, through the analysis of different influence factors under the action of financial volatility cycle change rule, it is concluded that the final financial fluctuation cycle, the results of numerical simulation. The simulation results show that, compared with the traditional method, the numerical simulation of the proposed method has high precision, low error and short time, which provides relatively accurate reference data for the stable development of regional economy.

Keywords: non-linear equation of motion; financial fluctuation; fluctuation period; numerical simulation.

DOI: 10.1504/IJCAT.2024.141942

International Journal of Computer Applications in Technology, 2024 Vol.74 No.3, pp.171 - 185

Received: 21 Jun 2023
Accepted: 09 Oct 2023
Published online: 03 Oct 2024 *

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Title: Numerical simulation of financial fluctuation period based on non-linear equation of motion

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