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Impact of Contingent Payments on Systemic Risk in Financial Networks

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  • Tathagata Banerjee
  • Zachary Feinstein

Abstract

In this paper we study the implications of contingent payments on the clearing wealth in a network model of financial contagion. We consider an extension of the Eisenberg-Noe financial contagion model in which the nominal interbank obligations depend on the wealth of the firms in the network. We first consider the problem in a static framework and develop conditions for existence and uniqueness of solutions as long as no firm is speculating on the failure of other firms. In order to achieve existence and uniqueness under more general conditions, we introduce a dynamic framework. We demonstrate how this dynamic framework can be applied to problems that were ill-defined in the static framework.

Suggested Citation

  • Tathagata Banerjee & Zachary Feinstein, 2018. "Impact of Contingent Payments on Systemic Risk in Financial Networks," Papers 1805.08544, arXiv.org, revised Dec 2018.
  • Handle: RePEc:arx:papers:1805.08544
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    Cited by:

    1. Bardoscia, Marco & Ferrara, Gerardo & Vause, Nicholas & Yoganayagam, Michael, 2021. "Simulating liquidity stress in the derivatives market," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    2. Ghamami, Samim & Glasserman, Paul & Young, Hobart, 2022. "Collateralized networks," LSE Research Online Documents on Economics 107496, London School of Economics and Political Science, LSE Library.
    3. Tathagata Banerjee & Zachary Feinstein, 2018. "Pricing of debt and equity in a financial network with comonotonic endowments," Papers 1810.01372, arXiv.org, revised Sep 2021.
    4. Steffen Schuldenzucker & Sven Seuken & Stefano Battiston, 2020. "Default Ambiguity: Credit Default Swaps Create New Systemic Risks in Financial Networks," Management Science, INFORMS, vol. 66(5), pages 1981-1998, May.
    5. Samim Ghamami & Paul Glasserman & H. Peyton Young, 2022. "Collateralized Networks," Management Science, INFORMS, vol. 68(3), pages 2202-2225, March.

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