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Derivatives Risks as Costs in a One-Period Network Model

Author

Listed:
  • Dorinel Bastide

    (UEVE, LaMME)

  • St'ephane Cr'epey

    (LPSM)

  • Samuel Drapeau

    (SAIF)

  • Mekonnen Tadese

Abstract

We present a one-period XVA model encompassing bilateral and centrally cleared trading in a unified framework with explicit formulas for most quantities at hand. We illustrate possible uses of this framework for running stress test exercises on a financial network from a clearing member's perspective or for optimizing the porting of the portfolio of a defaulted clearing member.

Suggested Citation

  • Dorinel Bastide & St'ephane Cr'epey & Samuel Drapeau & Mekonnen Tadese, 2022. "Derivatives Risks as Costs in a One-Period Network Model," Papers 2202.03248, arXiv.org, revised Feb 2022.
    • Handle: RePEc:arx:papers:2202.03248
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    References listed on IDEAS

    as
    1. Acerbi, Carlo & Tasche, Dirk, 2002. "On the coherence of expected shortfall," Journal of Banking & Finance, Elsevier, vol. 26(7), pages 1487-1503, July.
    2. Alexander J. McNeil & Rüdiger Frey & Paul Embrechts, 2015. "Quantitative Risk Management: Concepts, Techniques and Tools Revised edition," Economics Books, Princeton University Press, edition 2, number 10496.
    3. Umar Faruqui & Wenqian Huang & Előd Takáts, 2018. "Clearing risks in OTC derivatives markets: the CCP-bank nexus," BIS Quarterly Review, Bank for International Settlements, December.
    4. Murphy, David & Nahai-Williamson, Paul, 2014. "Financial Stability Paper 30: Dear Prudence, won’t you come out to play? Approaches to the analysis of CCP default fund adequacy," Bank of England Financial Stability Papers 30, Bank of England.
    5. Claudio Albanese & Stéphane Crépey & Rodney Hoskinson & Bouazza Saadeddine, 2021. "XVA analysis from the balance sheet," Quantitative Finance, Taylor & Francis Journals, vol. 21(1), pages 99-123, January.
    6. Dr. Robert Oleschak, 2019. "Central Counterparty Auctions and Loss Allocation," Working Papers 2019-06, Swiss National Bank.
    7. Bora Durdu & Rochelle M. Edge & Daniel Schwindt, 2017. "Measuring the Severity of Stress-Test Scenarios," FEDS Notes 2017-05-05, Board of Governors of the Federal Reserve System (U.S.).
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