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Uncertainty in an Interconnected Financial System, Contagion, and Market Freezes

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  • MEI LI
  • FRANK MILNE
  • JUNFENG QIU

Abstract

This paper studies contagion and market freezes caused by uncertainty in financial network structures. Our model demonstrates that in a financial system where financial institutions are interconnected, a negative shock to an individual financial institution could spread to other institutions, causing market freezes because of creditors' uncertainty about the financial network structure. Our model also reveals that when both a large creditor and a continuum of small creditors are present, the size of the large creditor will affect the severity of market freezes substantially. Moreover, our model is used to examine central bank policies to alleviate market freezes.

Suggested Citation

  • Mei Li & Frank Milne & Junfeng Qiu, 2016. "Uncertainty in an Interconnected Financial System, Contagion, and Market Freezes," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(6), pages 1135-1168, September.
    • Handle: RePEc:wly:jmoncb:v:48:y:2016:i:6:p:1135-1168
    DOI: 10.1111/jmcb.12329
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    Cited by:

    1. Mei Li & Frank Milne & Junfeng Qiu, 2022. "Central bank screening, moral hazard, and the lender of last resort policy," Journal of Banking Regulation, Palgrave Macmillan, vol. 23(3), pages 244-264, September.
    2. Guidolin, Massimo & Hansen, Erwin & Pedio, Manuela, 2019. "Cross-asset contagion in the financial crisis: A Bayesian time-varying parameter approach," Journal of Financial Markets, Elsevier, vol. 45(C), pages 83-114.
    3. Samitas, Aristeidis & Kampouris, Elias & Polyzos, Stathis, 2022. "Covid-19 pandemic and spillover effects in stock markets: A financial network approach," International Review of Financial Analysis, Elsevier, vol. 80(C).
    4. Mei Li & Frank Milne & Junfeng Qiu, 2020. "The LOLR Policy and its Signaling Effect in a Time of Crisis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 57(3), pages 231-252, June.
    5. Jose Fique, 2017. "Retrieving Implied Financial Networks from Bank Balance-Sheet and Market Data," Staff Working Papers 17-30, Bank of Canada.
    6. Samitas, Aristeidis & Kampouris, Elias & Kenourgios, Dimitris, 2020. "Machine learning as an early warning system to predict financial crisis," International Review of Financial Analysis, Elsevier, vol. 71(C).

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    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G2 - Financial Economics - - Financial Institutions and Services

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