IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v47y2022ipas1544612321005201.html
   My bibliography  Save this article

Going green: Insight from asymmetric risk spillover between investor attention and pro-environmental investment

Author

Listed:
  • Deng, Chao
  • Zhou, Xiaoying
  • Peng, Cheng
  • Zhu, Huiming

Abstract

This article develops multi-quantile VaR Granger causality to investigate the extreme risk spillover of investor attention to energy-intensive and green enterprises in China. We construct investor attention indices from the Baidu index by crawling each stock's code and abbreviation. Our findings are outlined as follows. First, investor attention could effectively predict enterprise performance under extreme conditions, and the extreme comovement is prone to occur in the same direction. Second, investor attention is more likely to exert adverse effects on energy-intensive enterprises. Finally, the occurrence of environmental events would significantly affect individual attention and eventually reinforce pro-environmental investment.

Suggested Citation

  • Deng, Chao & Zhou, Xiaoying & Peng, Cheng & Zhu, Huiming, 2022. "Going green: Insight from asymmetric risk spillover between investor attention and pro-environmental investment," Finance Research Letters, Elsevier, vol. 47(PA).
  • Handle: RePEc:eee:finlet:v:47:y:2022:i:pa:s1544612321005201
    DOI: 10.1016/j.frl.2021.102565
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612321005201
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2021.102565?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. Stelios Bekiros & Rangan Gupta & Clement Kyei, 2016. "A non-linear approach for predicting stock returns and volatility with the use of investor sentiment indices," Applied Economics, Taylor & Francis Journals, vol. 48(31), pages 2895-2898, July.
    2. Bertrand Candelon & Sessi Tokpavi, 2016. "A Nonparametric Test for Granger Causality in Distribution With Application to Financial Contagion," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 240-253, April.
    3. Neto, David, 2021. "Are Google searches making the Bitcoin market run amok? A tail event analysis," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    4. Chen, Shuning & Zhang, Wei & Feng, Xu & Xiong, Xiong, 2020. "Asymmetry of retail investors’ attention and asymmetric volatility: Evidence from China," Finance Research Letters, Elsevier, vol. 36(C).
    5. Xiao, Zhijie & Koenker, Roger, 2009. "Conditional Quantile Estimation for Generalized Autoregressive Conditional Heteroscedasticity Models," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1696-1712.
    6. Piñeiro-Chousa, Juan & López-Cabarcos, M.Ángeles & Caby, Jérôme & Šević, Aleksandar, 2021. "The influence of investor sentiment on the green bond market," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    7. Simon Gervais & Ron Kaniel & Dan H. Mingelgrin, 2001. "The High‐Volume Return Premium," Journal of Finance, American Finance Association, vol. 56(3), pages 877-919, June.
    8. repec:bla:jfinan:v:53:y:1998:i:6:p:1839-1885 is not listed on IDEAS
    9. Dastgir, Shabbir & Demir, Ender & Downing, Gareth & Gozgor, Giray & Lau, Chi Keung Marco, 2019. "The causal relationship between Bitcoin attention and Bitcoin returns: Evidence from the Copula-based Granger causality test," Finance Research Letters, Elsevier, vol. 28(C), pages 160-164.
    10. Peng, Cheng & Zhu, Huiming & Guo, Yawei & Chen, Xiuyun, 2018. "Risk spillover of international crude oil to China's firms: Evidence from granger causality across quantile," Energy Economics, Elsevier, vol. 72(C), pages 188-199.
    11. Juan Piñeiro-Chousa & M.Ángeles López-Cabarcos & Jérôme Caby & Aleksandar Šević, 2021. "The influence of investor sentiment on the green bond market," Post-Print hal-02960892, HAL.
    12. Xiaojun Chu & Chongfeng Wu & Jianying Qiu, 2016. "A nonlinear Granger causality test between stock returns and investor sentiment for Chinese stock market: a wavelet-based approach," Applied Economics, Taylor & Francis Journals, vol. 48(21), pages 1915-1924, May.
    13. Guo, Mengmeng & Kuai, Yicheng & Liu, Xiaoyan, 2020. "Stock market response to environmental policies: Evidence from heavily polluting firms in China," Economic Modelling, Elsevier, vol. 86(C), pages 306-316.
    14. Zhang, Yihao & Tao, Lingfeng, 2019. "Haze, investor attention and China's stock markets: Evidence from internet stock forum," Finance Research Letters, Elsevier, vol. 31(C).
    15. Su, Fei & Wang, Xinyi, 2021. "Investor co-attention and stock return co-movement: Evidence from China’s A-share stock market," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    16. Liu, Fengqi & Kang, Yuxin & Guo, Kun & Sun, Xiaolei, 2021. "The relationship between air pollution, investor attention and stock prices: Evidence from new energy and polluting sectors," Energy Policy, Elsevier, vol. 156(C).
    17. Bertrand Candelon & Sessi Tokpavi, 2016. "A Nonparametric Test for Granger Causality in Distribution With Application to Financial Contagion," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 34(2), pages 240-253, April.
    18. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    19. Fang, Jianchun & Gozgor, Giray & Lau, Chi-Keung Marco & Lu, Zhou, 2020. "The impact of Baidu Index sentiment on the volatility of China's stock markets," Finance Research Letters, Elsevier, vol. 32(C).
    20. Tzouvanas, Panagiotis & Mamatzakis, Emmanuel C., 2021. "Does it pay to invest in environmental stocks?," International Review of Financial Analysis, Elsevier, vol. 77(C).
    21. Zhang, Yongjie & Chu, Gang & Shen, Dehua, 2021. "The role of investor attention in predicting stock prices: The long short-term memory networks perspective," Finance Research Letters, Elsevier, vol. 38(C).
    22. Zhang, Bing & Wang, Yudong, 2015. "Limited attention of individual investors and stock performance: Evidence from the ChiNext market," Economic Modelling, Elsevier, vol. 50(C), pages 94-104.
    23. Wang, Gaoshan & Yu, Guangjin & Shen, Xiaohong, 2021. "The effect of online environmental news on green industry stocks: The mediating role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    24. Li, Rong & Li, Sufang & Yuan, Di & Zhu, Huiming, 2021. "Investor attention and cryptocurrency: Evidence from wavelet-based quantile Granger causality analysis," Research in International Business and Finance, Elsevier, vol. 56(C).
    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. Wen, Bohui & Yan, Yulin & Hao, Jing & He, Feng, 2023. "Investors’ online searching and green knowledge dissemination," Finance Research Letters, Elsevier, vol. 54(C).
    2. Sisi Zheng & Shanyue Jin, 2023. "Can Enterprises in China Achieve Sustainable Development through Green Investment?," IJERPH, MDPI, vol. 20(3), pages 1-25, January.
    3. Fabrice Hervé & Sylvain Marsat, 2023. "Eco-Anxiety, Connectedness to Nature & Green Equity Investments," Post-Print hal-04150758, HAL.
    4. Ming, Yaxin & Li, Yubo & Liu, Nian & Li, Jing, 2023. "Retail investor attention and corporate environmental performance: Evidence from china," Finance Research Letters, Elsevier, vol. 56(C).
    5. Qiao, Xingzhi & Zhu, Huiming & Tang, Yiding & Peng, Cheng, 2023. "Time-frequency extreme risk spillover network of cryptocurrency coins, DeFi tokens and NFTs," Finance Research Letters, Elsevier, vol. 51(C).
    6. Fabrice Hervé & Sylvain Marsat, 2023. "Eco-anxiety, connectedness to nature, and green equity investments," Economics Bulletin, AccessEcon, vol. 43(3), pages 1485-1492.
    7. Zhang, Yunhan & Li, Yan & Zhao, Wanli & Ji, Qiang, 2024. "Climate risk performance and returns integration of Chinese listed energy companies," Energy Economics, Elsevier, vol. 129(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. Qiao, Xingzhi & Zhu, Huiming & Tang, Yiding & Peng, Cheng, 2023. "Time-frequency extreme risk spillover network of cryptocurrency coins, DeFi tokens and NFTs," Finance Research Letters, Elsevier, vol. 51(C).
    2. Wei Zhang & Pengfei Wang, 2020. "Investor attention and the pricing of cryptocurrency market," Evolutionary and Institutional Economics Review, Springer, vol. 17(2), pages 445-468, July.
    3. Wenwen Liu & Jinyu Yang & Jingrui Chen & Lei Xu, 2023. "How Social-Network Attention and Sentiment of Investors Affect Commodity Futures Market Returns: New Evidence From China," SAGE Open, , vol. 13(1), pages 21582440231, January.
    4. Jingjian, Si & Xiangyun, Gao & Jinsheng, Zhou & Anjian, Wang & Xiaotian, Sun & Yiran, Zhao & Hongyu, Wei, 2023. "The impact of oil price shocks on energy stocks from the perspective of investor attention," Energy, Elsevier, vol. 278(PB).
    5. Deng, Chao & Su, Xiaojian & Wang, Gangjin & Peng, Cheng, 2022. "The existence of flight-to-quality under extreme conditions: Evidence from a nonlinear perspective in Chinese stocks and bonds' sectors," Economic Modelling, Elsevier, vol. 113(C).
    6. Li, Jianping & Li, Jingyu & Zhu, Xiaoqian & Yao, Yinhong & Casu, Barbara, 2020. "Risk spillovers between FinTech and traditional financial institutions: Evidence from the U.S," International Review of Financial Analysis, Elsevier, vol. 71(C).
    7. Ren, Xiaohang & Li, Yiying & yan, Cheng & Wen, Fenghua & Lu, Zudi, 2022. "The interrelationship between the carbon market and the green bonds market: Evidence from wavelet quantile-on-quantile method," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    8. Pham, Linh & Cepni, Oguzhan, 2022. "Extreme directional spillovers between investor attention and green bond markets," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 186-210.
    9. Matteo Farnè & Angela Montanari, 2022. "A Bootstrap Method to Test Granger-Causality in the Frequency Domain," Computational Economics, Springer;Society for Computational Economics, vol. 59(3), pages 935-966, March.
    10. Tang, Yumei & Chen, Xihui Haviour & Sarker, Provash Kumer & Baroudi, Sarra, 2023. "Asymmetric effects of geopolitical risks and uncertainties on green bond markets," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    11. Dhasmana, Samriddhi & Ghosh, Sajal & Kanjilal, Kakali, 2023. "Does investor sentiment influence ESG stock performance? Evidence from India," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    12. Bonaccolto, Giovanni & Caporin, Massimiliano & Panzica, Roberto, 2019. "Estimation and model-based combination of causality networks among large US banks and insurance companies," Journal of Empirical Finance, Elsevier, vol. 54(C), pages 1-21.
    13. Chia-Lin Chang & Michael McAleer, 2017. "A Simple Test for Causality in Volatility," Econometrics, MDPI, vol. 5(1), pages 1-5, March.
    14. Leong, Soon Heng, 2021. "Global crude oil and the Chinese oil-intensive sectors: A comprehensive causality study," Energy Economics, Elsevier, vol. 103(C).
    15. Peng, Cheng & Zhu, Huiming & Guo, Yawei & Chen, Xiuyun, 2018. "Risk spillover of international crude oil to China's firms: Evidence from granger causality across quantile," Energy Economics, Elsevier, vol. 72(C), pages 188-199.
    16. Zribi, Wissal & Boufateh, Talel & Lahouel, Bechir Ben & Urom, Christian, 2024. "Uncertainty shocks, investor sentiment and environmental performance: Novel evidence from a PVAR approach," International Review of Financial Analysis, Elsevier, vol. 93(C).
    17. Foglia, Matteo & Addi, Abdelhamid & Wang, Gang-Jin & Angelini, Eliana, 2022. "Bearish Vs Bullish risk network: A Eurozone financial system analysis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 77(C).
    18. Wang, Gaoshan & Yu, Guangjin & Shen, Xiaohong, 2021. "The effect of online environmental news on green industry stocks: The mediating role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
    19. Bouri, Elie & Gök, Remzi & Gemi̇ci̇, Eray & Kara, Erkan, 2024. "Do geopolitical risk, economic policy uncertainty, and oil implied volatility drive assets across quantiles and time-horizons?," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 137-154.
    20. Sullivan HUE & Yannick LUCOTTE & Sessi TOKPAVI, 2018. "Measuring Network Systemic Risk Contributions: A Leave-one-out Approach," LEO Working Papers / DR LEO 2608, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.

    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:finlet:v:47:y:2022:i:pa:s1544612321005201. 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/frl .

    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.