用于CCP优化的XVA指标

IF 1.3 Q2 STATISTICS & PROBABILITY
C. Albanese, Yannick Armenti, S. Crépey
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引用次数: 14

摘要

基于对中央清算衍生品投资组合的XVA分析,我们考虑了与中央交易对手(ccp)设计效率相关的两个资本和融资问题。首先,我们考虑一个清算框架的组织,其中CCP也将扮演集中式XVA计算器和管理中心的角色。违约基金缴款将成为清算成员承担风险的纯资本,按一定的门槛率(即股本回报率)获得相应报酬。此外,我们以更广泛的基于风险的方法挑战当前的违约基金Cover 2 EMIR规模规则,该方法依赖于CCP经济资本的合适概念。其次,我们比较了两种不同的初始保证金提高策略导致的保证金估值调整(MVAs)。第一种是清算成员的无担保借款。作为一种替代办法,清算成员将其初始保证金委托给所谓的专业贷款机构,在清算成员违约的情况下,该机构将从结算方那里收回未用于弥补损失的部分保证金。替代策略导致显著的MVA压缩。一个数值案例研究表明,IM融资费用的波动性波动甚至可能是CCP基于经济资本的违约基金的主要贡献者。这是一个由广泛担保引发的交易对手风险向流动性风险转移的例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
XVA metrics for CCP optimization
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.
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来源期刊
Statistics & Risk Modeling
Statistics & Risk Modeling STATISTICS & PROBABILITY-
CiteScore
1.80
自引率
6.70%
发文量
6
期刊介绍: Statistics & Risk Modeling (STRM) aims at covering modern methods of statistics and probabilistic modeling, and their applications to risk management in finance, insurance and related areas. The journal also welcomes articles related to nonparametric statistical methods and stochastic processes. Papers on innovative applications of statistical modeling and inference in risk management are also encouraged. Topics Statistical analysis for models in finance and insurance Credit-, market- and operational risk models Models for systemic risk Risk management Nonparametric statistical inference Statistical analysis of stochastic processes Stochastics in finance and insurance Decision making under uncertainty.
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