Clarus Financial Technology

NDF Clearing Update

Open Interest in Cleared NDFs

Open Interest in Cleared NDFs from CCPView

Since our previous update, we can see that Open Interest in cleared NDFs now resides above $600bn equivalent. This Open Interest has held at this level since March 2017. The growth phase that we have been previously blogging about may be beginning to transition towards a more mature market.

Due to the short-dated nature of NDFs, it is likely that large amounts of notional mature each month at the Clearing Houses. The steady open interest suggests that these maturing positions are being replaced by new trading, which is a reassuring sign for the Cleared market.

Volumes in NDFs

When we look at volumes that are being cleared (from CCPView) and/or traded by US Persons (SDRView), we find that market volumes have been static during most of Q2 2017:

CCPView Cleared NDF Volumes
SDRView US Persons NDF Volumes

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In light of which, this could prove a bit of a dull blog this week! From the data, it looks like clearing is now a de-facto “business as usual” operation for a significant sector of the market. Similar to the early days of Rates clearing, this also appears to be a post-trade process.

Calibration

In light of fairly static market activity, I thought I would take the opportunity to calibrate our data. This is an important process as the data should be resilient across various calibration techniques.

As previously, we have to contend with the fact that our SDR data does not cover the whole market. We estimate that SDR trade reporting accounts for 38% of total market activity. We therefore need to scale our SDRView (uncleared) volume data by this scalar to estimate total market activity.

Now to the (newly calibrated) data:

NDFs reported to SDRs are mainly Uncleared. Trades are novated to the Clearing house post-trade, typically on a T+1 basis.

Fortunately, we can identify our margin for error. We can do this by assuming that either:

  1. SDR data has no cleared trades. We therefore need to scale all of the SDR market by 38% to calculate overall market size.
  2. SDR data has 100% of the cleared trades. We therefore need to subtract the Cleared volumes from the SDR total, and only then scale by 38% to calculate total market size.

Using the above process gives us a range of estimates for each month of how much of the market is being cleared:

Percentage of the NDF market being cleared each month

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This calibration exercise therefore gives us an error range of less than 3.5%. Put another way, we could say that in May 2017, 13.6% of volumes were cleared (+/- 1.5%).

Dealer To Dealer Volumes

Should we perform the same analysis for our SEFView data (i.e. strip out all Cleared volumes before we scale up)? It is tempting, but ultimately I don’t trust this part of the calibration to be accurate, due to the much smaller sample size.

On average, around 35% of NDF volumes reported to SDRs have been executed on a SEF. This means that SEFView represents around 17% of the entire market. Whilst we can accurately propose that this is mainly D2D activity (due to the venues reporting NDF volumes) it is not fair to say that all cleared trades are therefore transacted over a SEF.

We can however strip out 38% of cleared volumes before scaling the D2D market. That sits more comfortably with me, but it does not really change our numbers. We still estimate that 35% of D2D volumes globally are being cleared:

Percentage of Dealer to Dealer NDF volumes being cleared each month

In Summary

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