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Counter-cyclical Margins for Option Portfolios

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  • CHEN, Yuanyuan
  • WU, Qi
  • LI, Duan

Abstract

We propose a counter-cyclical initial margin model for option portfolios. Our model explores the intrinsic netting within a given portfolio of European options and outputs a constant upper bound of the maximum possible loss. This feature would allow option clearinghouses and regulators to gauge the tightest margin levels that are stable. We compare our model with the scenario-based SPAN model and the sensitivity-based SIMM model in terms of the netting efficiency and the procyclical property. Using the SPX options and the interest rate swaptions as examples, we quantify the minimum amount of additional margins needed to make them fully counter-cyclical. We then show how to strike a balance between risk-sensitivity and counter-cyclicality if needed by mixing our model flexibly with a prevailing risk-sensitive margin model.

Suggested Citation

  • CHEN, Yuanyuan & WU, Qi & LI, Duan, 2023. "Counter-cyclical Margins for Option Portfolios," Journal of Economic Dynamics and Control, Elsevier, vol. 146(C).
    • Handle: RePEc:eee:dyncon:v:146:y:2023:i:c:s0165188922002755
    DOI: 10.1016/j.jedc.2022.104572
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    References listed on IDEAS

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    1. Darrell Duffie, 2018. "Financial Regulatory Reform After the Crisis: An Assessment," Management Science, INFORMS, vol. 64(10), pages 4835-4857, October.
    2. D. Matsypura & V.G. Timkovsky, 2013. "Integer programs for margining option portfolios by option spreads with more than four legs," Computational Management Science, Springer, vol. 10(1), pages 51-76, February.
    3. Andrew Rudd & Mark Schroeder, 1982. "The Calculation of Minimum Margin," Management Science, INFORMS, vol. 28(12), pages 1368-1379, December.
    4. Constantinos Antoniou & John A. Doukas & Avanidhar Subrahmanyam, 2016. "Investor Sentiment, Beta, and the Cost of Equity Capital," Management Science, INFORMS, vol. 62(2), pages 347-367, February.
    5. AARDAL, Karen & WOLSEY, Laurence A., 2010. "Lattice based extended formulations for integer linear equality systems," LIDAM Reprints CORE 2192, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Murphy, David & Vasios, Michalis & Vause, Nicholas, 2016. "A comparative analysis of tools to limit the procyclicality of initial margin requirements," Bank of England working papers 597, Bank of England.
    7. Garratt, Rodney & Zimmerman, Peter, 2020. "Centralized netting in financial networks," Journal of Banking & Finance, Elsevier, vol. 112(C).
    8. Paul Glasserman & Qi Wu, 2018. "Persistence and Procyclicality in Margin Requirements," Management Science, INFORMS, vol. 64(12), pages 5705-5724, December.
    9. Darrell Duffie & Haoxiang Zhu, 2011. "Does a Central Clearing Counterparty Reduce Counterparty Risk?," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 1(1), pages 74-95.
    Full references (including those not matched with items on IDEAS)

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