Estimating the Joint Tail Risk Under the Filtered Historical Simulation. An Application to the CCP's Default and Waterfall Fund

Giovanni Barone-Adesi, Kostas Giannopoulos and Les Vosper
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Giovanni Barone-Adesi: University of Lugano and Swiss Finance Institute
Kostas Giannopoulos: Neapolis University, Pafos
Les Vosper: London Metal Exchange

No 15-12, Swiss Finance Institute Research Paper Series from Swiss Finance Institute

Abstract: To ensure that central counterparties (“CCPs”) are safe in all market conditions the European Union (EU) has adopted legislation, commonly known as the European Market Infrastructure Regulation (“EMIR”) that deals with their organisational requirements, including prudential requirements in relations to margins and the waterfall and default funds. It has published in a single Regulation (EU) No 153/2013, the technical standards required to be adopted by all CCPs operating in the EU. EMIR requires a mandatory clearing of certain standardised OTC (i.e. over-the-counter) derivatives transactions through central counterparties. A risk methodology that can meet some of the most challenging technical requirements, such as sensitivity testing, estimating the probability of joint member defaults and reverse stress testing, is the Filtered Historical Simulation (FHS). In this study we extend the use of Filtered Historical Simulation in estimating the potential losses the CCP would face from a multiple default. The proposed methodology provides a probabilistic estimation of defaulting of named members, the expected size of losses, i.e. the joint expected shortfall (JES), and confidence intervals around the JES. This in turn provides an estimate of financial resources needed to absorb multiple defaults. Our methodology is carrying a full re-pricing of all instruments in the portfolio. It takes into account positions that expire before the profits and losses (P&L) horizon. Order statistics tell us that estimates on the tails are unreliable. To improve their reliability we carry out a bootstrapping of 5,000,000 simulation trials. The bootstrapping of 5,000,000 trials is repeated 5,000 times to generate the density of the JES.

Keywords: Central counterparty risk management; filtered historical simulation; stress testing; tail dependency (search for similar items in EconPapers)
JEL-codes: C4 G21 G23 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2015-02
New Economics Papers: this item is included in nep-rmg
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Persistent link: https://EconPapers.repec.org/RePEc:chf:rpseri:rp1512

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