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Investor sentiment and stock price jumps: A network analysis based on China’s carbon–neutral sectors

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  • Gao, Yang
  • Zhao, Chengjie

Abstract

In this paper, we analyze the interconnectedness between investor sentiment and stock price jumps based on the two-layer network models. We first use the Diebold and Yilmaz (DY) and Baruník and Křehlík (BK) spillover indexes to analyze the interactive effects of investor sentiment and price jumps between different industries in China's carbon–neutral sectors from the time and frequency domains. The results verify strong two-way spillover effects of investor sentiment and jump volatility among green industries. The connectedness in the short-term risk network of stock volatility is significantly higher than that of the Internet sentiment network, and the short-term risk spillover effect of the network plays a leading role in the total risk spillover. Subsequently, we further study the dynamic spillover between investor sentiment and jump volatility using the rolling time window. The dynamic network reveals significant heterogeneity in the spillover of Internet sentiment, and the interaction effect of investor sentiment and jump volatility displays time-varying characteristics. The green industrials and energy industries are systemically important sectors in the two-layer network system. The empirical results show the complex risk contagion mode in the green stock market and provide a reference for investors and market regulators on the risk management of the green stock market.

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  • Gao, Yang & Zhao, Chengjie, 2023. "Investor sentiment and stock price jumps: A network analysis based on China’s carbon–neutral sectors," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
    • Handle: RePEc:eee:ecofin:v:68:y:2023:i:c:s1062940823000773
    DOI: 10.1016/j.najef.2023.101954
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    3. Zhou, Zhengnan, 2025. "The impact of investor sentiment fluctuations on stock market liquidity and volatility: Implications for market returns," Finance Research Letters, Elsevier, vol. 86(PF).
    4. Sobti, Neharika, 2025. "What triggers intraday price jumps and co-jumps in gold?," International Review of Financial Analysis, Elsevier, vol. 105(C).
    5. Huang, Leping & Zhang, Kuo & Wang, Jingxin & Zhu, Yingfu, 2023. "Examining the interplay of green bonds and fossil fuel markets: The influence of investor sentiments," Resources Policy, Elsevier, vol. 86(PA).
    6. Nahiyan Faisal Azad & Apostolos Serletis, 2025. "Stock Market Uncertainty and Business Optimism in Major Emerging Economies," Open Economies Review, Springer, vol. 36(3), pages 873-900, July.
    7. Di Sha & Xianyi Zeng & Arne Johannssen & Ruolin Wang & Kim Phuc Tran, 2026. "A Two‐Stage NLP‐Driven Framework for Interval‐Valued Carbon Price Prediction Using Sentiment Analysis and Error Correction," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 45(2), pages 806-818, March.
    8. Chen, Xinxin & Guo, Yanhong & Song, Yingying, 2024. "Multiple time scales investor sentiment impact the stock market index fluctuation: From margin trading business perspective," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    9. Jiang, Haiyang & Yang, Zeyu, 2025. "Green financial policies and executive opportunistic share reduction," Finance Research Letters, Elsevier, vol. 85(PB).
    10. Naeem, Muhammad Abubakr & Senthilkumar, Arunachalam & Arfaoui, Nadia & Mohnot, Rajesh, 2024. "Mapping fear in financial markets: Insights from dynamic networks and centrality measures," Pacific-Basin Finance Journal, Elsevier, vol. 85(C).
    11. Bouteska, Ahmed & Cardillo, Giovanni & Harasheh, Murad, 2023. "Is it all about noise? Investor sentiment and risk nexus: evidence from China," Finance Research Letters, Elsevier, vol. 57(C).
    12. Tamoghna Mukherjee, 2025. "Investor Sentiment and Market Movements: A Granger Causality Perspective," Papers 2510.15915, arXiv.org.

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