XVA metrics for CCP optimization

Claudio Albanese, Armenti Yannick () and Crépey Stéphane ()
Additional contact information
Armenti Yannick: BNP Paribas, RISK Department, Grands Moulins de Pantin, 93500, Pantin, France
Crépey Stéphane: LaMME, Univ Evry, CNRS, Université Paris-Saclay, 91037, Evry, France

Statistics & Risk Modeling, 2020, vol. 37, issue 1-2, 25-53

Abstract: Based on an XVA analysis of centrally cleared derivative portfolios, we consider two capital and funding issues pertaining to the efficiency of the design of central counterparties (CCPs). First, we consider an organization of a clearing framework, whereby a CCP would also play the role of a centralized XVA calculator and management center. The default fund contributions would become pure capital at risk of the clearing members, remunerated as such at some hurdle rate, i.e. return-on-equity. Moreover, we challenge the current default fund Cover 2 EMIR sizing rule with a broader risk based approach, relying on a suitable notion of economic capital of a CCP. Second, we compare the margin valuation adjustments (MVAs) resulting from two different initial margin raising strategies. The first one is unsecured borrowing by the clearing member. As an alternative, the clearing member delegates the posting of its initial margin to a so-called specialist lender, which, in case of default of the clearing member, receives back from the CCP the portion of IM unused to cover losses. The alternative strategy results in a significant MVA compression. A numerical case study shows that the volatility swings of the IM funding expenses can even be the main contributor to an economic capital based default fund of a CCP. This is an illustration of the transfer of counterparty risk into liquidity risk triggered by extensive collateralization.

Keywords: Central counterparty (CCP); initial margin; default fund; cost of funding initial margin (MVA); cost of capital (KVA) (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/strm-2017-0034 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
Working Paper: XVA Metrics for CCP Optimisation (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:strimo:v:37:y:2020:i:1-2:p:25-53:n:1

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/strm/html

DOI: 10.1515/strm-2017-0034

Access Statistics for this article

Statistics & Risk Modeling is currently edited by Robert Stelzer

More articles in Statistics & Risk Modeling from De Gruyter
Bibliographic data for series maintained by Peter Golla ().