Study on the evolution characteristics of stock prices under continuous interference of external events

Abstract Motivated by the increase in external uncertainty in economic and financial systems, the evolution characteristics of stock prices under continuous external disturbances are analyzed. A new model with the direct stochastic and indirect nonlinear effects of external events is constructed to comprehensively reflect the randomness and nonlinearity of stock prices. It is found that the equilibrium price decreases with external uncertainty. Under certain conditions, the equilibrium in the deterministic skeleton is asymptotically stable; when stability is lost, the stock price exhibits either a high-low oscillatory pattern or a closed-loop cycle. Depending on the evolutionary characteristics of the deterministic skeleton, the volatility of the financial system may increase gradually or sharply with the external risk level. In addition, two distinct mechanisms are identified through which external events induce volatility clustering. Finally, evolution characteristics are verified by empirical data.

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Publication Details

Journal
Journal of Nonlinear Complex and Data Science
Published
2026-07-27
DOI
https://doi.org/10.1515/jncds-2025-0077
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
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article

Study on the evolution characteristics of stock prices under continuous interference of external events

Zhanbing Guo, Yufan Ma, Panpan Zhang
Journal of Nonlinear Complex and Data Science
Complex Systems and Time Series Analysis
article

Study on the evolution characteristics of stock prices under continuous interference of external events

Zhanbing Guo, Yufan Ma, Panpan Zhang
article en

Abstract

Abstract Motivated by the increase in external uncertainty in economic and financial systems, the evolution characteristics of stock prices under continuous external disturbances are analyzed. A new model with the direct stochastic and indirect nonlinear effects of external events is constructed to comprehensively reflect the randomness and nonlinearity of stock prices. It is found that the equilibrium price decreases with external uncertainty. Under certain conditions, the equilibrium in the deterministic skeleton is asymptotically stable; when stability is lost, the stock price exhibits either a high-low oscillatory pattern or a closed-loop cycle. Depending on the evolutionary characteristics of the deterministic skeleton, the volatility of the financial system may increase gradually or sharply with the external risk level. In addition, two distinct mechanisms are identified through which external events induce volatility clustering. Finally, evolution characteristics are verified by empirical data.

Journal of Nonlinear Complex and Data Science
Hebei University of Technology (CN)
Decent work and economic growth
Openalex Percentile: Top 4%
Complex Systems and Time Series Analysis
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