Clarus Financial Technology

CCP Quantitative Disclosures 3Q19 – Skin in the Game

Clearing Houses 3Q 2019 CPMI-IOSCO Quantitative Disclosures are now available, so lets look at what the data shows, similar to my CCP Disclosures 2Q 2019 article. Summary:

Background

Under the voluntary CPMI-IOSCO Public Quantitative Disclosures, CCPs publish over two hundred quantitative data fields covering margin, default resources, credit risk, collateral, liquidity risk, back-testing and more.

CCPView has 4 years of these quarterly disclosures for thirty-six Clearing Houses, each with multiple Clearing Services, covering the period from 30 Sep 2015 to 30 Sep 2019. This disclosure data provides insights into trends over time at one CCP and comparisons between CCPs.

Initial Margin for IRS

Initial margin at major IRS CCPs (usd millions)

For 2Q 2019, we noted that Total IM had increased by the largest amount in a quarter for some time, well that increase has been blown away by 3Q 2019. Every one of these CCPs increasing IM significantly QoQ and YoY, so certainly a quarter with more risk-on positions and higher price volatility, which results in higher margin.

LCH Client IM increased more than House IM and now represents 60% of Total IM. We know there was an LCH IM model change that increased client IM in the quarter, which accounts for some of the growth, but a large part must be due to higher volatility and more risk in positions held.

CME Client IM also with significant increases QoQ, so without doubt it was a very good quarter for FCMS/Clearing Brokers, whose fees are linked to client IM balances.

Initial Margin for CDS

Initial margin for CDS (usd millions)

In 2Q 2019 CDS IM was down or flat QoQ, so the 3Q is a nice contrast with increases at each of the CCPs, however growth rates in cleared credit far lower than in cleared rates.

Initial Margin for ETD

Initial Margin for selected ETD CCPs (usd millions)

So these selected ETD CCPs showing good IM increases across the board, but not as high as the IRS CCPs.

For the first time the total IM of the four major IRS CCPs at $235 billion is neck and neck with the $236 billion of these selected ETD CCPs, which is interesting as a year ago there was a $40 billion difference.

Topics to consider in detail on another day, but if you have an opinion, please send our way.

Skin in the Game

Next lets turn to the topic of Skin in the Game, one that was big on the conference circuit a few years ago and while it never really went away, an October 2019 paper by nine global financial institutions, “A Path Forward for CCP Resilience, Recovery and Resolution“, has brought the debate back into the open and onto agendas.

While I would encourage you to read the full paper, for today I am interested in the following section:

Extract from the Paper

Most interesting, it proposes that for-profit CCPs (which most are these days) should maintain a meaningful amount of SITG e.g. 20% in two equal tranches, before and after the Default fund.

No reasoning is given for the 20% number and I am sure most CCPs would reject a methodology that set’s their contribution as a percentage of the overall default fund, but nevertheless lets look at a few sample SITG ratios from quantitative disclosures data.

Prefunded Default Resources

Showing a wide variance indeed of the CCP capital before to member capital (referred to as junior tranche in the paper) with LCH SwapClear, LCH CDSClear and JSCC at 1%, many in the 2-6% range (CME, ICE), ICE US 9%, SGX-DC at 19% and ASX CLF at 38%. So only ICE US F&O close to the 10% proposed in the paper.

ASX in particular stands out with 38% and in addition has more SITG with $150 million of pre-funded own capital alongside the DF, $180 million of pre-funded capital after and $450 million of committed capital.

The only other CCP in our list with pre-funded own capital after DF is SGX-DC with $43 million and the only other CCP with committed own/parent capital is Eurex Clearing with $655 million. Each of the ICE CCPs has Committed – Other, not sure what the other means here, except for not own or parent and Eurex Clearing also has Committed – Other.

We could also calculate other SITG ratios by looking at both prefunded an committed default resources.

CCPView has data for many more CCPs, but even this sample of twelve large CCPs shows a lot of variance, no doubt including others will show even more variance.

Other Disclosures of Interest

There are lots of disclosures for clearing houses and other measures such as margin, default fund, credit risk, liquidity, margin models, back-testing and more; let’s highlight a few from the many CCPs we cover:

I could go on but after jumping from D to L to O to S, there are so many more clearing services to delve into. The current list is now:

Surely there must be some with names starting with U, V, W, X, Y, Z, if so we will get to them eventually…

More Disclosures

CCPView has disclosures from thirty six Clearing Houses, each with many Clearing Services, so there is a lot more data to look at covering Equities, Bond, Futures, Options and OTC Derivatives.

With over 200 quantitative data fields and quarterly figures from September 2015 to September 2019, that is a lot of data to analyse.

If you are interested in this data please contact us for a CCPView subscription.

If your firm is not already a subscriber, it would be great for you to become one.

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