Economics

Dynamic analysis and application of network structure control in risk conduction in the industrial chain

X. Xi, X. Gao, et al.

This study, conducted by Xian Xi, Xiangyun Gao, Xiaotian Sun, Huiling Zheng, and Congcong Wu, delves into the complexities of price fluctuation risk in the mining stock market. It uncovers how industry dynamics influence risk conduction and emphasizes the importance of monitoring key risk nodes for effective regulation.

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Playback language: English

Index

Abstract

This study uses the GARCH, DCC, and network structure control theory to analyze price fluctuation risk in the mining stock market. Key findings include a strong industry-driving effect on risk conduction, with upper and middle stocks exhibiting stronger risk conduction ability. Risk control costs (regulation, time, and node number) are higher for whole-industry chains than two-tier chains, highlighting the relationship between network complexity and risk control. Monitoring key risk nodes is crucial for timely risk control. The research offers valuable insights for market regulators and policymakers.

Publisher

Humanities and Social Sciences Communications

Published On

Nov 05, 2024

Authors

Xian Xi, Xiangyun Gao, Xiaotian Sun, Huiling Zheng, Congcong Wu

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