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

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  • 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
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    References listed on IDEAS

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    1. 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).
    2. 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.
    3. 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.
    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

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    Cited by:

    1. Jianglin Dennis Ding & George G. Pennacchi, 2024. "The effects of social media use by bank depositors," Annals of Finance, Springer, vol. 20(3), pages 289-300, September.
    2. 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.
    3. 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).
    4. Sakariyahu, Rilwan & Lawal, Rodiat & Yusuf, Abdulmueez & Olatunji, Abdulganiyu, 2023. "Mass shootings, investors’ panic, and market anomalies," Economics Letters, Elsevier, vol. 231(C).
    5. Sakariyahu, Rilwan & Lawal, Rodiat & Adigun, Rasheed & Paterson, Audrey & Johan, Sofia, 2024. "One crash, too many: Global uncertainty, sentiment factors and cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 94(C).
    6. 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).
    7. Aharon, David Y. & Ali, Shoaib, 2024. "A high-frequency data dive into SVB collapse," Finance Research Letters, Elsevier, vol. 59(C).
    8. Lawal, Rodiat & Sakariyahu, Rilwan, 2024. "Investor heterogeneity and global stock market participation," Economics Letters, Elsevier, vol. 242(C).

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    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

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