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Machine learning

Artificial Intelligence Policy Uncertainty Impacts China's Financial Market

Strategic Insights

— 1 min read

A recent study published in Finance Research Letters explores the effect of policy uncertainty on China's financial market, specifically focusing on artificial intelligence, carbon emissions, green energy, and high-tech sectors. The research, conducted by a team of Southeast University experts, utilized wavelet coherence analysis to examine the dynamic relationships between policy uncertainties and the Chinese stock market from 2000 to 2023. The study found that artificial intelligence policy uncertainty (AIPU) has the most pronounced long-term impact, while carbon emissions policy uncertainty (CEPU) exerted the strongest and most consistent influence in the medium term.

Key Takeaways:

  • The study investigates the impact of policy uncertainty in carbon emissions, green energy, and high-tech sectors on China's financial market.
  • Four specific indices were developed to measure policy uncertainty: artificial intelligence policy uncertainty (AIPU), carbon emissions policy uncertainty (CEPU), green energy policy uncertainty (GEPU), and high-tech policy uncertainty (HTPU).
  • AIPU has the most pronounced long-term impact (32-64 months), while CEPU exerts the strongest and most consistent influence in the medium term (12-16 months).
  • GEPU is more prominent in the short term, with HTPU presenting a fragmented, less stable pattern.
  • The research provides new insights into the dynamic relationships between policy uncertainties and the Chinese stock market.
  • The study highlights the importance of considering policy uncertainty in developing strategies for the financial market.

Statistics:

  • The study examines the dynamic relationships between policy uncertainties and the Chinese stock market from 2000 to 2023.
  • AIPU has the most pronounced long-term impact, with a duration of 32-64 months.
  • CEPU exerts the strongest and most consistent influence in the medium term, with a duration of 12-16 months.
  • GEPU is more prominent in the short term, with HTPU presenting a fragmented, less stable pattern.

Sources:

  • Impact of Carbon Emissions, Green Energy, Artificial Intelligence and High-tech Policy Uncertainty On China's Financial Market. Finance Research Letters, 2025;82.

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