IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v97y2025ics1059056024007378.html

Multi-media sentiment to systemic risk: Evidence from COVID-19

Author

Listed:
  • Bai, Chenjiang
  • Duan, Yuejiao
  • Goodell, John W.

Abstract

Using 8.8 million pieces of textual information between February to April 2020 from multi-media platforms, including the official news media, the Sina Weibo blog, and WeChat, we develop daily COVID-19 sentiment indices to examine whether it affects systemic risk based on depositors' perspective. The study finds that rising media sentiment reduces systemic risk by mitigating depositor runs. Further research finds differences in the impact of sentiment from different media platforms on systemic risk and that widening sentiment divergence exacerbates systemic risk. This paper points to the need to revisit the association between sentiment and financial markets from a multi-source media platform divergence perspective. The findings hold when considering endogeneity issues and multiple robustness tests.

Suggested Citation

  • Bai, Chenjiang & Duan, Yuejiao & Goodell, John W., 2025. "Multi-media sentiment to systemic risk: Evidence from COVID-19," International Review of Economics & Finance, Elsevier, vol. 97(C).
    • Handle: RePEc:eee:reveco:v:97:y:2025:i:c:s1059056024007378
    DOI: 10.1016/j.iref.2024.103745
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056024007378
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.iref.2024.103745?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Fang, Yi & Wang, Qi & Wang, Yanru & Yuan, Yan, 2024. "Media sentiment, deposit stability and bank systemic risk: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 1150-1172.
    2. Cortés, Kristle & Duchin, Ran & Sosyura, Denis, 2016. "Clouded judgment: The role of sentiment in credit origination," Journal of Financial Economics, Elsevier, vol. 121(2), pages 392-413.
    3. Huang, Yun & Luk, Paul, 2020. "Measuring economic policy uncertainty in China," China Economic Review, Elsevier, vol. 59(C).
    4. Harrison Hong & Jeremy C. Stein, 1999. "A Unified Theory of Underreaction, Momentum Trading, and Overreaction in Asset Markets," Journal of Finance, American Finance Association, vol. 54(6), pages 2143-2184, December.
    5. Anand, Abhinav & Basu, Sankarshan & Pathak, Jalaj & Thampy, Ashok, 2021. "The impact of sentiment on emerging stock markets," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 161-177.
    6. Cao, Charles & Chang, Eric C. & Wang, Ying, 2008. "An empirical analysis of the dynamic relationship between mutual fund flow and market return volatility," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2111-2123, October.
    7. Duan, Yuejiao & Fan, Xiaoyun & Wang, Yu, 2022. "Economic policy uncertainty and bank systemic risk: A cross-country analysis," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
    8. Jiang, Fuwei & Lee, Joshua & Martin, Xiumin & Zhou, Guofu, 2019. "Manager sentiment and stock returns," Journal of Financial Economics, Elsevier, vol. 132(1), pages 126-149.
    9. Siganos, Antonios & Vagenas-Nanos, Evangelos & Verwijmeren, Patrick, 2017. "Divergence of sentiment and stock market trading," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 130-141.
    10. Jinfeng Wang & Ran Zhu, 2022. "Economic Policy Uncertainty, Corporate Risk-Taking and Abnormal Audit Fees," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(12), pages 1-28, December.
    11. Isakin, Maksim & Pu, Xiaoling, 2023. "Dispersion in news sentiment and corporate bond returns," International Review of Financial Analysis, Elsevier, vol. 89(C).
    12. Viral V. Acharya & Lasse H. Pedersen & Thomas Philippon & Matthew Richardson, 2017. "Measuring Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 30(1), pages 2-47.
    13. Malcolm Baker & Jeffrey Wurgler, 2006. "Investor Sentiment and the Cross‐Section of Stock Returns," Journal of Finance, American Finance Association, vol. 61(4), pages 1645-1680, August.
    14. Chen, Yanghan & Lin, Juan, 2024. "Measuring systemic risk in Asian foreign exchange markets," Journal of International Money and Finance, Elsevier, vol. 146(C).
    15. Wang, Jiqian & Lu, Xinjie & He, Feng & Ma, Feng, 2020. "Which popular predictor is more useful to forecast international stock markets during the coronavirus pandemic: VIX vs EPU?," International Review of Financial Analysis, Elsevier, vol. 72(C).
    16. Paul C. Tetlock, 2007. "Giving Content to Investor Sentiment: The Role of Media in the Stock Market," Journal of Finance, American Finance Association, vol. 62(3), pages 1139-1168, June.
    17. Douglas W. Diamond & Philip H. Dybvig, 2000. "Bank runs, deposit insurance, and liquidity," Quarterly Review, Federal Reserve Bank of Minneapolis, vol. 24(Win), pages 14-23.
    18. Wang, Jie & Xue, Weina & Song, Jiashan, 2022. "Economic policy uncertainty and industry risk on China’s stock market," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    19. Fraiberger, Samuel P. & Lee, Do & Puy, Damien & Ranciere, Romain, 2021. "Media sentiment and international asset prices," Journal of International Economics, Elsevier, vol. 133(C).
    20. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "An alternative approach to predicting bank credit risk in Europe with Google data," Finance Research Letters, Elsevier, vol. 35(C).
    21. Chen, Yugang & Lu, Jihua & Ma, Weidong & Kumar, Satish & Shahab, Yasir, 2024. "Dispersion in news sentiment and M&As outcomes," Research in International Business and Finance, Elsevier, vol. 71(C).
    22. Itay Goldstein & Ady Pauzner, 2005. "Demand–Deposit Contracts and the Probability of Bank Runs," Journal of Finance, American Finance Association, vol. 60(3), pages 1293-1327, June.
    23. Rizwan, Muhammad Suhail, 2021. "Macroprudential regulations and systemic risk: Does the one-size-fits-all approach work?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    24. Todd Keister, 2016. "Bailouts and Financial Fragility," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 83(2), pages 704-736.
    25. Laeven, Luc & Ratnovski, Lev & Tong, Hui, 2016. "Bank size, capital, and systemic risk: Some international evidence," Journal of Banking & Finance, Elsevier, vol. 69(S1), pages 25-34.
    26. Mbarki, Imen & Omri, Abdelwahed & Naeem, Muhammad Abubakr, 2022. "From sentiment to systemic risk: Information transmission in Asia-Pacific stock markets," Research in International Business and Finance, Elsevier, vol. 63(C).
    27. Hailiang Chen & Prabuddha De & Yu (Jeffrey) Hu & Byoung-Hyoun Hwang, 2014. "Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1367-1403.
    28. Edmans, Alex & Fernandez-Perez, Adrian & Garel, Alexandre & Indriawan, Ivan, 2022. "Music sentiment and stock returns around the world," Journal of Financial Economics, Elsevier, vol. 145(2), pages 234-254.
    29. Ho, Kin-Yip & Shi, Yanlin & Zhang, Zhaoyong, 2020. "News and return volatility of Chinese bank stocks," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 1095-1105.
    30. Smales, Lee A., 2016. "News sentiment and bank credit risk," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 37-61.
    31. Irresberger, Felix & Mühlnickel, Janina & Weiß, Gregor N.F., 2015. "Explaining bank stock performance with crisis sentiment," Journal of Banking & Finance, Elsevier, vol. 59(C), pages 311-329.
    32. Duan, Yuejiao & El Ghoul, Sadok & Guedhami, Omrane & Li, Haoran & Li, Xinming, 2021. "Bank systemic risk around COVID-19: A cross-country analysis," Journal of Banking & Finance, Elsevier, vol. 133(C).
    33. Viral Acharya & Robert Engle & Matthew Richardson, 2012. "Capital Shortfall: A New Approach to Ranking and Regulating Systemic Risks," American Economic Review, American Economic Association, vol. 102(3), pages 59-64, May.
    34. Duan, Yuejiao & Liu, Lanbiao & Wang, Zhuo, 2021. "COVID-19 Sentiment and the Chinese Stock Market: Evidence from the Official News Media and Sina Weibo," Research in International Business and Finance, Elsevier, vol. 58(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. Zhao, Yikai & Dai, Runyu & Nagayasu, Jun, 2025. "Generative AI: The transformative impact of ChatGPT on systemic financial risk in Chinese banks," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    2. Zhao, Xia & Hu, Qing & Song, Yuping & Huang, Jiefei, 2025. "Systemic risk spillovers incorporating investor sentiment: Evidence from an improved TENET analysis," Economic Modelling, Elsevier, vol. 151(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. Fang, Yi & Wang, Qi & Wang, Yanru & Yuan, Yan, 2024. "Media sentiment, deposit stability and bank systemic risk: Evidence from China," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 1150-1172.
    2. Hasan, Md. Tanvir, 2022. "The sum of all SCARES COVID-19 sentiment and asset return," The Quarterly Review of Economics and Finance, Elsevier, vol. 86(C), pages 332-346.
    3. Lu, Yiming & Wang, Yu, 2023. "Bank liquidity hoarding and bank systemic risk: The moderating effect of economic policy uncertainty," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    4. Di, Li & Shaiban, Mohammed Sharaf & Hasanov, Akram Shavkatovich, 2021. "The power of investor sentiment in explaining bank stock performance: Listed conventional vs. Islamic banks," Pacific-Basin Finance Journal, Elsevier, vol. 66(C).
    5. Prajwal Eachempati & Praveen Ranjan Srivastava, 2021. "Accounting for unadjusted news sentiment for asset pricing," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 13(3), pages 383-422, May.
    6. Shah, Syed Faisal & Albaity, Mohamed, 2022. "The role of trust, investor sentiment, and uncertainty on bank stock return performance: Evidence from the MENA region," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    7. Fuwei Jiang & Yumin Liu & Lingchao Meng & Huajing Zhang, 2025. "Deep learning, textual sentiment, and financial market," Information Technology and Management, Springer, vol. 26(4), pages 441-465, December.
    8. Bai, Chenjiang & Duan, Yuejiao & Fan, Xiaoyun & Tang, Shuai, 2023. "Financial market sentiment and stock return during the COVID-19 pandemic," Finance Research Letters, Elsevier, vol. 54(C).
    9. Zhao, Yikai & Dai, Runyu & Nagayasu, Jun, 2025. "Generative AI: The transformative impact of ChatGPT on systemic financial risk in Chinese banks," Pacific-Basin Finance Journal, Elsevier, vol. 93(C).
    10. Hadhri, Sinda & Younus, Mehak & Naeem, Muhammad Abubakr & Yarovaya, Larisa, 2025. "Listening to the Market: Music sentiment and cryptocurrency returns," Journal of International Money and Finance, Elsevier, vol. 157(C).
    11. Lachana, Ioanna & Schröder, David, 2025. "Investor sentiment and stock returns: Wisdom of crowds or power of words? Evidence from Seeking Alpha and Wall Street Journal," Journal of Financial Markets, Elsevier, vol. 74(C).
    12. Obaid, Khaled & Pukthuanthong, Kuntara, 2022. "A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news," Journal of Financial Economics, Elsevier, vol. 144(1), pages 273-297.
    13. Narayan, Shivani & Kumar, Dilip, 2024. "Macroprudential policy and systemic risk in G20 nations," Journal of Financial Stability, Elsevier, vol. 75(C).
    14. Sun, Licheng & Najand, Mohammad & Shen, Jiancheng, 2016. "Stock return predictability and investor sentiment: A high-frequency perspective," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 147-164.
    15. Xiao, Jihong & Jiang, Jiajie & Zhang, Yaojie, 2024. "Policy uncertainty, investor sentiment, and good and bad volatilities in the stock market: Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 84(C).
    16. Michel Alexandre & Thiago Christiano Silva & Colm Connaughton & Francisco A. Rodrigues, 2021. "The Role of (non-)Topological Features as Drivers of Systemic Risk: a machine learning approach," Working Papers Series 556, Central Bank of Brazil, Research Department.
    17. Gao, Xiang & Koedijk, Kees & Walther, Thomas & Wang, Zhan, 2025. "Relative investor sentiment," International Review of Economics & Finance, Elsevier, vol. 100(C).
    18. Anastasiou, Dimitrios & Katsafados, Apostolos G., 2020. "Bank Deposits Flows and Textual Sentiment: When an ECB President's speech is not just a speech," MPRA Paper 99729, University Library of Munich, Germany.
    19. Tran, Vu Le, 2023. "Sentiment and covariance characteristics," International Review of Financial Analysis, Elsevier, vol. 86(C).
    20. Gambarelli, Luca & Muzzioli, Silvia, 2025. "News sentiment indicators and the cross-section of stock returns in the European stock market," International Review of Economics & Finance, Elsevier, vol. 101(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:reveco:v:97:y:2025:i:c:s1059056024007378. 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/620165 .

    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.