IDEAS home Printed from https://ideas.repec.org/a/eee/ecolet/v228y2023ics0165176523001957.html
   My bibliography  Save this article

Panic bank runs, global market contagion and the financial consequences of social media

Author

Listed:
  • Dosumu, Oluwatoyin Esther
  • Sakariyahu, Rilwan
  • Oyekola, Olayinka
  • Lawal, Rodiat

Abstract

This paper provides empirical analysis on how social media amplifies bank runs, using the recent bank turmoil in the US. Employing data for 94 countries, our findings show that social media provides a conduit through which an immediate negative and significant impact of the bank crisis transmits across global investor sentiments and market outcomes. The results also indicate a significant spill-over influence of the turmoil on European and G7 economies, while there appears to be no significant impact on major markets in Asia and Africa.

Suggested Citation

  • Dosumu, Oluwatoyin Esther & Sakariyahu, Rilwan & Oyekola, Olayinka & Lawal, Rodiat, 2023. "Panic bank runs, global market contagion and the financial consequences of social media," Economics Letters, Elsevier, vol. 228(C).
    • Handle: RePEc:eee:ecolet:v:228:y:2023:i:c:s0165176523001957
    DOI: 10.1016/j.econlet.2023.111170
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0165176523001957
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.econlet.2023.111170?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. Rui Fan & Oleksandr Talavera & Vu Tran, 2020. "Social media bots and stock markets," European Financial Management, European Financial Management Association, vol. 26(3), pages 753-777, June.
    2. Mark Gertler & Nobuhiro Kiyotaki, 2015. "Banking, Liquidity, and Bank Runs in an Infinite Horizon Economy," American Economic Review, American Economic Association, vol. 105(7), pages 2011-2043, July.
    3. Sakariyahu, Rilwan & Lawal, Rodiat & Oyekola, Olayinka & Dosumu, Oluwatoyin Esther & Adigun, Rasheed, 2023. "Natural disasters, investor sentiments and stock market reactions: Evidence from Turkey–Syria earthquakes," Economics Letters, Elsevier, vol. 228(C).
    4. Uhlig, Harald, 2010. "A model of a systemic bank run," Journal of Monetary Economics, Elsevier, vol. 57(1), pages 78-96, January.
    5. He, Feng & Feng, Yaqian & Hao, Jing, 2022. "Information disclosure source, investors’ searching and stock price crash risk," Economics Letters, Elsevier, vol. 210(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. Rilwan Sakariyahu & Audrey Paterson & Eleni Chatzivgeri & Rodiat Lawal, 2024. "Chasing noise in the stock market: an inquiry into the dynamics of investor sentiment and asset pricing," Review of Quantitative Finance and Accounting, Springer, vol. 62(1), pages 135-169, January.
    2. Sakariyahu, Rilwan & Johan, Sofia & Lawal, Rodiat & Paterson, Audrey & Chatzivgeri, Eleni, 2023. "Dynamic connectedness between investors’ sentiment and asset prices: A comparison between major markets in Europe and USA," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    3. Aharon, David Y. & Ali, Shoaib, 2024. "A high-frequency data dive into SVB collapse," Finance Research Letters, Elsevier, vol. 59(C).
    4. Bales, Stephan & Burghof, Hans-Peter, 2024. "Public attention, sentiment and the default of Silicon Valley Bank," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    5. Sakariyahu, Rilwan & Lawal, Rodiat & Yusuf, Abdulmueez & Olatunji, Abdulganiyu, 2023. "Mass shootings, investors’ panic, and market anomalies," Economics Letters, Elsevier, vol. 231(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. Mark Egan & Ali Hortaçsu & Gregor Matvos, 2017. "Deposit Competition and Financial Fragility: Evidence from the US Banking Sector," American Economic Review, American Economic Association, vol. 107(1), pages 169-216, January.
    2. Keiichiro Kobayashi & Tomoyuki Nakajima, 2014. "A macroeconomic model of liquidity crises," KIER Working Papers 876, Kyoto University, Institute of Economic Research.
    3. Hamed Ghiaie, 2018. "Macroeconomic Consequences of Bank’s Assets Reallocation After Mortgage Defaults," THEMA Working Papers 2018-12, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    4. Daniel Garcia-Macia & Alonso Villacorta, 2023. "Macroprudential Policy with Liquidity Panics," The Review of Financial Studies, Society for Financial Studies, vol. 36(5), pages 2046-2090.
    5. Manuel Amador & Javier Bianchi, 2024. "Bank Runs, Fragility, and Credit Easing," American Economic Review, American Economic Association, vol. 114(7), pages 2073-2110, July.
    6. Gertler, M. & Kiyotaki, N. & Prestipino, A., 2016. "Wholesale Banking and Bank Runs in Macroeconomic Modeling of Financial Crises," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1345-1425, Elsevier.
    7. Mark Gertler & Nobuhiro Kiyotaki & Andrea Prestipino, 2020. "Credit Booms, Financial Crises, and Macroprudential Policy," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 37, pages 8-33, August.
    8. Kristian Blickle & Markus K. Brunnermeier & Stephan Luck, 2022. "Who Can Tell Which Banks Will Fail?," NBER Working Papers 29753, National Bureau of Economic Research, Inc.
    9. Simon, Luis, 2021. "Capital requirements in a model of bank runs: The 2008 run on repo," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 2(3).
    10. Anil K. Kashyap & Dimitrios P. Tsomocos & Alexandros P. Vardoulakis, 2014. "How does macroprudential regulation change bank credit supply?," NBER Working Papers 20165, National Bureau of Economic Research, Inc.
    11. McInerney, Niall, 2019. "Macroprudential Policy, Banking and the Real Estate Sector," MPRA Paper 91777, University Library of Munich, Germany.
    12. Frédéric Boissay & Fabrice Collard & Frank Smets, 2016. "Booms and Banking Crises," Journal of Political Economy, University of Chicago Press, vol. 124(2), pages 489-538.
    13. Kristian Blickle & Markus Brunnermeier & Stephan Luck, 2020. "Micro-evidence from a System-wide Financial Meltdown: The German Crisis of 1931," Working Papers 275, Princeton University, Department of Economics, Center for Economic Policy Studies..
    14. Hamed Ghiaie, 2017. "Credit Crunch On Financial Intermediary," THEMA Working Papers 2017-09, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    15. Christian Bittner & Diana Bonfim & Florian Heider & Farzad Saidi & Glenn Schepens & Carla Soares, 2022. "The Augmented Bank Balance-Sheet Channel of Monetary Policy," ECONtribute Discussion Papers Series 149, University of Bonn and University of Cologne, Germany.
    16. Hirano, Tomohiro & Inaba, Masaru & Yanagawa, Noriyuki, 2015. "Asset bubbles and bailouts," Journal of Monetary Economics, Elsevier, vol. 76(S), pages 71-89.
    17. Nicole Boyson & Jean Helwege & Jan Jindra, 2014. "Crises, Liquidity Shocks, and Fire Sales at Commercial Banks," Financial Management, Financial Management Association International, vol. 43(4), pages 857-884, December.
    18. Carlos A. Arango & Oscar M. Valencia, 2015. "Macro-Prudential Policy under Moral Hazard and Financial Fragility," Borradores de Economia 878, Banco de la Republica de Colombia.
    19. Jewitt, Ian & Mukerji, Sujoy, 2017. "Ordering ambiguous acts," Journal of Economic Theory, Elsevier, vol. 171(C), pages 213-267.
    20. Ferrante, Francesco, 2019. "Risky lending, bank leverage and unconventional monetary policy," Journal of Monetary Economics, Elsevier, vol. 101(C), pages 100-127.

    More about this item

    Keywords

    Bank run; Investor sentiment; Global markets; Social media; Contagion;
    All these keywords.

    JEL classification:

    • C7 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory
    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:ecolet:v:228:y:2023:i:c:s0165176523001957. 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/ecolet .

    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.