Stress Indicator for Clearing Houses Cover Image

Stress Indicator for Clearing Houses
Stress Indicator for Clearing Houses

Author(s): Edina Berlinger, Barbara Dömötör, Ferenc Illés, Kata Váradi
Subject(s): Economy
Published by: Vysoká škola ekonomická v Praze - Fakulta podnikohospodářská
Keywords: Financial stability; central counterparty; EMIR; agent-based simulation; logit regression; Gini-coefficient

Summary/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 U.S. 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.

  • Issue Year: 5/2016
  • Issue No: 4
  • Page Range: 47-60
  • Page Count: 14
  • Language: English