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Contagious Bank Runs: Experimental Evidence

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  • Brown, Martin
  • Trautmann, Stefan T.
  • Vlahu, Razvan

Abstract

We conduct a laboratory experiment to examine under which circumstances a depositor-run at one bank may lead to a depositor-run at another bank. We implement two-person coordination games which capture the essence of the Diamond-Dybvig (1983) bank-run model. Subjects in the roles of followers observe the deposit withdrawal decisions of leaders before they make their own deposit withdrawal decisions. In one treatment followers know that there are no economic linkages between the leaders’ and the followers’ banks. In a second treatment followers know that there are economic linkages between the leaders’ and the followers’ banks. Our results suggest that deposit withdrawals are strongly contagious across banks only when depositors know that there are economic linkages between banks’. The contagion of withdrawals is by a change in beliefs about bank asset quality and in beliefs about the behavior of other depositors, with the latter channel being more pronounced. Our results reconcile panic-based and information-based explanations of bank runs.

Suggested Citation

  • Brown, Martin & Trautmann, Stefan T. & Vlahu, Razvan, 2012. "Contagious Bank Runs: Experimental Evidence," Working Papers on Finance 1207, University of St. Gallen, School of Finance.
  • Handle: RePEc:usg:sfwpfi:2012:07
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    2. Klarita Sadiraj & Arthur Schram, 2018. "Inside information in Ponzi schemes," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 4(1), pages 29-45, July.
    3. Brown, Martin & Guin, Benjamin & Morkoetter, Stefan, 2013. "Deposit Withdrawals from Distressed Commercial Banks: The Importance of Switching Costs," Working Papers on Finance 1319, University of St. Gallen, School of Finance, revised Dec 2017.
    4. Jasmina Arifovic & Janet Hua Jiang, 2014. "Do Sunspots Matter? Evidence from an Experimental Study of Bank Runs," Staff Working Papers 14-12, Bank of Canada.
    5. Shakina, Ekaterina & Angerer, Martin, 2018. "Coordination and communication during bank runs," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 115-130.
    6. Bosch-Rosa, Ciril, 2018. "That's how we roll: An experiment on rollover risk," Journal of Economic Behavior & Organization, Elsevier, vol. 145(C), pages 495-510.
    7. Kiss, Hubert Janos & Rodriguez-Lara, Ismael & Rosa-García, Alfonso, 2014. "Do social networks prevent or promote bank runs?," Journal of Economic Behavior & Organization, Elsevier, vol. 101(C), pages 87-99.
    8. John Duffy & Aikaterini Karadimitropoulou & Melanie Parravano, 2019. "Financial Contagion in the Laboratory: Does Network Structure Matter?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 51(5), pages 1097-1136, August.
    9. Chakravarty, Surajeet & Fonseca, Miguel A. & Kaplan, Todd R., 2014. "An experiment on the causes of bank run contagions," European Economic Review, Elsevier, vol. 72(C), pages 39-51.
    10. Guin, Benjamin & Brown, Martin & Morkötter, Stefan, 2015. "Deposit Withdrawals from Distressed Commercial Banks," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113081, Verein für Socialpolitik / German Economic Association.
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    12. Martin Dufwenberg, 2014. "Banking on Experiments?," Working Papers 534, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.

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    More about this item

    Keywords

    Contagion; Bank runs; Systemic risk.;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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