IDEAS home Printed from https://ideas.repec.org/a/eee/ecofin/v68y2023ics1062940823000773.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1062940823000773
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.najef.2023.101954?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Solomon, David H. & Soltes, Eugene & Sosyura, Denis, 2014. "Winners in the spotlight: Media coverage of fund holdings as a driver of flows," Journal of Financial Economics, Elsevier, vol. 113(1), pages 53-72.
    2. Andersen, Torben G & Bollerslev, Tim, 1998. "Answering the Skeptics: Yes, Standard Volatility Models Do Provide Accurate Forecasts," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(4), pages 885-905, November.
    3. Han, Xing & Li, Youwei, 2017. "Can investor sentiment be a momentum time-series predictor? Evidence from China," Journal of Empirical Finance, Elsevier, vol. 42(C), pages 212-239.
    4. John, Kose & Li, Jingrui, 2021. "COVID-19, volatility dynamics, and sentiment trading," Journal of Banking & Finance, Elsevier, vol. 133(C).
    5. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2021. "Investor sentiment and stock returns: Global evidence," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 365-391.
    6. Fu, Junhui & Wu, Xiang & Liu, Yufang & Chen, Rongda, 2021. "Firm-specific investor sentiment and stock price crash risk," Finance Research Letters, Elsevier, vol. 38(C).
    7. Zhifang He & Linjie He & Fenghua Wen, 2019. "Risk Compensation and Market Returns: The Role of Investor Sentiment in the Stock Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(3), pages 704-718, February.
    8. Audrino, Francesco & Tetereva, Anastasija, 2019. "Sentiment spillover effects for US and European companies," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 542-567.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhou, Xuewei & Ouyang, Zisheng & Lu, Min & Ouyang, Zhongzhe, 2024. "Multilayer network analysis of idiosyncratic volatility connectedness: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 88(C).
    2. Yuan, Ying & Du, Xinyu, 2023. "Dynamic spillovers across global stock markets during the COVID-19 pandemic: Evidence from jumps and higher moments," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 628(C).
    3. 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).
    4. 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).
    5. 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).
    6. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang Gao & Chengjie Zhao & Bianxia Sun & Wandi Zhao, 2022. "Effects of investor sentiment on stock volatility: new evidences from multi-source data in China’s green stock markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    2. Gao, Yang & Zhao, Chengjie & Wang, Yaojun, 2024. "Investor sentiment and stock returns: New evidence from Chinese carbon-neutral stock markets based on multi-source data," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 438-450.
    3. Bei, Zeyun & Lin, Juan & Zhou, Yinggang, 2024. "No safe haven, only diversification and contagion — Intraday evidence around the COVID-19 pandemic," Journal of International Money and Finance, Elsevier, vol. 143(C).
    4. Li, Wenlan & Cheng, Yuxiang & Fang, Qiang, 2020. "Forecast on silver futures linked with structural breaks and day-of-the-week effect," The North American Journal of Economics and Finance, Elsevier, vol. 53(C).
    5. Kong, Xiaowei & Jin, Yifan & Liu, Lihua & Xu, Jialu, 2023. "Firms' exposures on COVID-19 and stock price crash risk: Evidence from China," Finance Research Letters, Elsevier, vol. 52(C).
    6. Rameeza Andleeb & Arshad Hassan, 2023. "Impact of Investor Sentiment on Contemporaneous and Future Equity Returns in Emerging Markets," SAGE Open, , vol. 13(3), pages 21582440231, August.
    7. Xu, Yongan & Wang, Jianqiong & Chen, Zhonglu & Liang, Chao, 2021. "Economic policy uncertainty and stock market returns: New evidence," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    8. Cui, Yueting & Gavriilidis, Konstantinos & Gebka, Bartosz & Kallinterakis, Vasileios, 2024. "Numerological superstitions and market-wide herding: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 93(C).
    9. Xiao, Jihong & Wen, Fenghua & Zhao, Yupei & Wang, Xiong, 2021. "The role of US implied volatility index in forecasting Chinese stock market volatility: Evidence from HAR models," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 311-333.
    10. Hu, Zhijun & Sun, Ping-Wen, 2024. "Salience theory, investor sentiment, and commonality in sentiment: Evidence from the Chinese stock market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 42(C).
    11. Song, Ziyu & Gong, Xiaomin & Zhang, Cheng & Yu, Changrui, 2023. "Investor sentiment based on scaled PCA method: A powerful predictor of realized volatility in the Chinese stock market," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 528-545.
    12. Qian, Binsheng & Tan, Yusen, 2024. "Firm-specific investor sentiment and stock price informativeness," Finance Research Letters, Elsevier, vol. 66(C).
    13. Wang, Wenzhao & Su, Chen & Duxbury, Darren, 2022. "The conditional impact of investor sentiment in global stock markets: A two-channel examination," Journal of Banking & Finance, Elsevier, vol. 138(C).
    14. Li, Xiafei & Liao, Yin & Lu, Xinjie & Ma, Feng, 2022. "An oil futures volatility forecast perspective on the selection of high-frequency jump tests," Energy Economics, Elsevier, vol. 116(C).
    15. Huynh, Toan Luu Duc & Foglia, Matteo & Nasir, Muhammad Ali & Angelini, Eliana, 2021. "Feverish sentiment and global equity markets during the COVID-19 pandemic," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 1088-1108.
    16. Cui, Xin & Sensoy, Ahmet & Nguyen, Duc Khuong & Yao, Shouyu & Wu, Yiyao, 2022. "Positive information shocks, investor behavior and stock price crash risk," Journal of Economic Behavior & Organization, Elsevier, vol. 197(C), pages 493-518.
    17. Hillebrand, Eric & Schnabl, Gunther & Ulu, Yasemin, 2009. "Japanese foreign exchange intervention and the yen-to-dollar exchange rate: A simultaneous equations approach using realized volatility," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 19(3), pages 490-505, July.
    18. Christophe Chorro & Florian Ielpo & Benoît Sévi, 2017. "The contribution of jumps to forecasting the density of returns," Post-Print halshs-01442618, HAL.
    19. Gkillas, Konstantinos & Gupta, Rangan & Pierdzioch, Christian, 2020. "Forecasting realized oil-price volatility: The role of financial stress and asymmetric loss," Journal of International Money and Finance, Elsevier, vol. 104(C).
    20. Woerner Jeannette H. C., 2003. "Variational sums and power variation: a unifying approach to model selection and estimation in semimartingale models," Statistics & Risk Modeling, De Gruyter, vol. 21(1), pages 47-68, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecofin:v:68:y:2023:i:c:s1062940823000773. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620163 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.