Clarus Financial Technology

What Would a Liberation Index Look Like?

Today is meant to be Trump’s so-called “Liberation Day” with tariffs potentially being activated with some of the largest trading partners of the US. It is surely no coincidence that it is happening on April Fool’s Day.

Just for the sake of it, I wondered what a “Liberation Index” might look like. What are the chances of these tariffs actually happening and sticking around? Are reciprocal actions being priced in from different countries?

Why An Index?

I cannot be alone in getting bored of Trump headlines, leading me to consciously discount each new Trump announcement regarding tariffs. I would prefer to just follow a number rather than wade through the headlines (and let’s face it there is very little substance behind the headlines during a Trump Presidency).

So I will construct a very basic index. The index amalgamates three measures of market activity, looking to assess the current market consensus on tariffs. Good, bad, ugly or just noise?

What Elements Could be in an Index?

First up – what should we even be looking at? I suggest:

Volumes

SDRView provides trade-level details for these four currency pairs traded by US Persons. The data may be a little patchy for USDCNY, but the other three currency pairs should be really well represented. What do we see?

Number of vanilla FX option trades reported per month to SDRs. Source: SDRView

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Notionals

Half of the market is transacted on-SEF. We can therefore use SEFView to monitor the volumes in these four currency pairs.

Notionals in $m of FX Options per month. Source: SEFView

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Prices

SDR data includes both notional amounts and premiums paid for options. We are just trying to build a crude index here, so let’s keep it simple. I will track the overall percentage of notional paid as premium:

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Constructing the Index

If we arbitrarily base December 2023 at an Index level of 100, we can combine number of trades, notional and prices in a simplistic way:

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Data

This is a simple exercise to demonstrate why transparency data is so powerful. This is all public data, and yet can be combined in unique and interesting ways to create potentially powerful monitoring tools.

In Summary

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