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An economic model of contagion in interbank lending markets

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  • Dan Ladley

Abstract

This paper considers the stability of a financial system in which heterogenous banks interact through a lending market. We analyse a discrete time model in which households and banks are located on a circular city. Households present banks with risky investment opportunities, which banks fund through deposits and interbank borrowing. In the event of bankruptcy, a bank defaults on its interbank loans potentially resulting in contagion and losses for other banks. Through simulation we examine the vulnerability of the financial system to systemic events, demonstrating the non-linear relationship between market concentration, shock severity and bankruptcies. The role and effect of regulatory actions such as reserve requirements, minimum bank capitalisation and constraints on the size of borrowing relationships, are considered in limiting these effects.

Suggested Citation

  • Dan Ladley, 2010. "An economic model of contagion in interbank lending markets," Discussion Papers in Economics 11/06, Division of Economics, School of Business, University of Leicester, revised Dec 2010.
    • Handle: RePEc:lec:leecon:11/06
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    References listed on IDEAS

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    1. Delli Gatti, Domenico & Gallegati, Mauro & Greenwald, Bruce & Russo, Alberto & Stiglitz, Joseph E., 2006. "Business fluctuations in a credit-network economy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 68-74.
    2. Antoni Bosch-Domenech & Shyam Sunder, 2000. "Tracking the Invisible Hand: Convergence of Double Auctions to Competitive Equilibrium," Computational Economics, Springer;Society for Computational Economics, vol. 16(3), pages 257-284, December.
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    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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