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.
