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Counterparty Trading Limits Revisited:CSAs, IM, SwapAgent(r), from PFE to PFL

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  • Chris Kenyon
  • Mourad Berrahoui
  • Benjamin Poncet

Abstract

The utility of Potential Future Exposure (PFE) for counterparty trading limits is being challenged by new market developments, notably widespread regulatory Initial Margin (using 99% 10-day exposure), and netting of trade and collateral flows. However PFE has pre-existing challenges w.r.t. portfolios/distributions, collateralization, netting set seniority, and overlaps with CVA. We introduce Potential Future Loss (PFL) which combines expected shortfall (ES) and loss given default (LGD) as a replacement for PFE. With two additional variants Adjusted PFL (aPFL) and Protected Adjusted PFL (paPFL) these deal with both new and pre-existing challenges. We provide a theoretical background and numerical examples.

Suggested Citation

  • Chris Kenyon & Mourad Berrahoui & Benjamin Poncet, 2017. "Counterparty Trading Limits Revisited:CSAs, IM, SwapAgent(r), from PFE to PFL," Papers 1710.03161, arXiv.org, revised Nov 2018.
  • Handle: RePEc:arx:papers:1710.03161
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    References listed on IDEAS

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    1. Hui Chen & Rui Cui & Zhiguo He & Konstantin Milbradt, 2018. "Quantifying Liquidity and Default Risks of Corporate Bonds over the Business Cycle," The Review of Financial Studies, Society for Financial Studies, vol. 31(3), pages 852-897.
    2. Bjerksund, Petter & Stensland, Gunnar, 2006. "Closed form spread option valuation," Discussion Papers 2006/20, Norwegian School of Economics, Department of Business and Management Science.
    3. Ruggero Caldana & Gianluca Fusai & Alessandro Gnoatto & Martino Grasselli, 2016. "General closed-form basket option pricing bounds," Quantitative Finance, Taylor & Francis Journals, vol. 16(4), pages 535-554, April.
    4. Chris Kenyon & Andrew Green & Mourad Berrahoui, 2015. "Which measure for PFE? The Risk Appetite Measure, A," Papers 1512.06247, arXiv.org.
    5. Petter Bjerksund & Gunnar Stensland, 2014. "Closed form spread option valuation," Quantitative Finance, Taylor & Francis Journals, vol. 14(10), pages 1785-1794, October.
    6. Jankowitsch, Rainer & Nagler, Florian & Subrahmanyam, Marti G., 2014. "The determinants of recovery rates in the US corporate bond market," Journal of Financial Economics, Elsevier, vol. 114(1), pages 155-177.
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