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Stress Indicator for Clearing Houses

Author

Listed:
  • Edina Berlinger
  • Barbara Dömötör
  • Ferenc Illés
  • Kata Váradi

Abstract

As a regulatory answer to the crisis, financial instruments are increasingly forced to be cleared centrally even in the OTC markets; therefore, risk management of central clearinghouses has become a central issue. A key term of the regulation is a stress event; however, it is not specified in the legislation what should be meant under stress in the case of a clearinghouse. To find an objective stress indicator, we built up a micro-simulation model of a hypothetical clearinghouse operating on the US equity market between 2007 and 2015. Based on this, we developed a logit regression model to specify an appropriate stress indicator and we showed that our "tailor-made" stress index calibrated to the position of the clearinghouse performs significantly better than the usual market proxies for financial stress.

Suggested Citation

  • Edina Berlinger & Barbara Dömötör & Ferenc Illés & Kata Váradi, 2016. "Stress Indicator for Clearing Houses," Central European Business Review, Prague University of Economics and Business, vol. 2016(4), pages 47-60.
  • Handle: RePEc:prg:jnlcbr:v:2016:y:2016:i:4:id:166:p:47-60
    DOI: 10.18267/j.cebr.166
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    References listed on IDEAS

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    1. Daniel Heller & Nicholas Vause, 2012. "Collateral requirements for mandatory central clearing of over-the-counter derivatives," BIS Working Papers 373, Bank for International Settlements.
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    Cited by:

    1. Berlinger, Edina & Dömötör, Barbara & Illés, Ferenc, 2019. "Anti-cyclical versus risk-sensitive margin strategies in central clearing," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 62(C), pages 117-131.
    2. Friesz, Melinda, 2020. "The Financial System’s Resilience is Everything, But at what Cost?," Public Finance Quarterly, Corvinus University of Budapest, vol. 65(4), pages 472-484.

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    More about this item

    Keywords

    Financial stability; central counterparty; EMIR; agent-based simulation; logit regression; Gini-coefficient;
    All these keywords.

    JEL classification:

    • G01 - Financial Economics - - General - - - Financial Crises
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • 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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