Journal of Financial Market Infrastructures
ISSN:
2049-5404 (print)
2049-5412 (online)
Editor-in-chief: Manmohan Singh
A network model for central counterparty liquidity risk stress testing under incomplete information
Need to know
- The model incorporates a richer scenarios set compared to the industry standard.
- The model combines the market risk and credit risk in stress testing.
- The model provides a dynamic risk-based approach for the sizing of financial resources.
- The model accounts for liquidity spillover effects and wrong-way risks.
Abstract
Most network models in the literature are academic in nature and assume perfect knowledge of nodes and linkages; the result is often simulations that do not reflect the limitations of real-world data. Such research can often make generic statements about the behavior of the entire system, but it is less useful in terms of risk management for a single institution that is part of the network. In practice, a central counterparty (CCP) ecosystem has a simpler network than the interbank network, because many bilateral linkages are replaced by direct many-to-one linkages to the CCP as the central clearer. In addition, the CCP is often the regulator in the ecosystem and thus has information visibility (of both exposures and financial resources) of all the participants. We put forth a realistic network model that maximizes the use of data available to a CCP in order to simulate credit default contagion. We study the resulting liquidity needs of the CCP required to avert the default of the CCP itself. This model combines default simulations and a bipartite network to give a loss distribution that is conditional on a stress state. This risk-based approach has many advantages over the Cover 2 standard approach of the CCP industry.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net