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Systemic Risk in Networks with a Central Node

Author

Listed:
  • Hamed Amini

    (J. Mack Robinson College of Business)

  • Damir Filipović

    (Ecole Polytechnique Fédérale de Lausanne; Swiss Finance Institute)

  • Andreea Minca

    (Cornell University)

Abstract

We examine the effects on a financial network of clearing all contracts though a central node (CN) thereby transforming the original network into a star-shaped one. The CN is capitalized with external equity and a guaranty fund. We introduce a structural systemic risk measure that captures the shortfall of end users. We show that it is possible to simultaneously improve the expected surplus of the banks and the CN as well as decrease the shortfall of end users. We determine the CN's equity and guaranty fund policies as a Nash bargaining solution. We illustrate our findings on simulated Credit Default Swap networks compatible with aggregate market data.

Suggested Citation

  • Hamed Amini & Damir Filipović & Andreea Minca, 2020. "Systemic Risk in Networks with a Central Node," Swiss Finance Institute Research Paper Series 20-04, Swiss Finance Institute.
    • Handle: RePEc:chf:rpseri:rp2004
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    Citations

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    Cited by:

    1. Amini, Hamed & Feinstein, Zachary, 2023. "Optimal network compression," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1439-1455.
    2. Injun Hwang & Baeho Kim, 2022. "A systemic change of measure from central clearing," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(9), pages 1738-1754, September.
    3. Wenqian Huang & Albert J. Menkveld & Shihao Yu, 2021. "Central Counterparty Exposure in Stressed Markets," Management Science, INFORMS, vol. 67(6), pages 3596-3617, June.
    4. Bardoscia, Marco & Caccioli, Fabio & Gao, Haotian, 2022. "Efficiency of central clearing under liquidity stress," Bank of England working papers 1002, Bank of England.
    5. Hamed Amini & Zachary Feinstein, 2020. "Optimal Network Compression," Papers 2008.08733, arXiv.org, revised Jul 2022.
    6. Dorinel Bastide & Stéphane Crépey & Samuel Drapeau & Mekonnen Tadese, 2022. "Derivatives Risks as Costs in a One-Period Network Model," Post-Print hal-03910144, HAL.
    7. Hałaj, Grzegorz & Hipp, Ruben, 2024. "Decomposing systemic risk: the roles of contagion and common exposures," Working Paper Series 2929, European Central Bank.

    More about this item

    Keywords

    Star-shaped Networks; Central Node; Market Design; Financial Network; Contagion; Systemic Risk; Credit Default Swap Markets;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
    • C62 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Existence and Stability Conditions of Equilibrium
    • G01 - Financial Economics - - General - - - Financial Crises
    • G18 - Financial Economics - - General Financial Markets - - - Government Policy and Regulation
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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