Monthly swaps data review: basis swaps galore

When analysing flows in the over-the-counter derivatives market, it is easy to focus on the most widely traded products such as plain vanilla interest rate swaps, overnight index swaps (OIS) and credit index swaps. 

However there is more to the derivatives markets than these products. Basis swaps in particular are important segments of the market in a number of currencies, so it is worth taking a deeper dive to see what trends can be identified.

US derivatives

US swap data repository (SDR) data can be used to aggregate trade counts for all interest rate derivatives products traded by US entities. Doing this for the six largest currencies for the first three weeks in September gives us the following results.

Table A shows:

• Fixed-to-floating interest rate swaps are the most well-traded products in each currency.
• US dollar-denominated trades dominate for all products, as this is data reported by US entities.
• Australian and Canadian dollar, sterling and yen trades are all fairly similar, while euro trade counts are substantially higher. 
• OISs are significant in US dollar, euro and sterling, as I have mentioned in previous articles. 
• Swaptions are well traded, as I mentioned in April.  

It is useful to look at some of these categories in greater detail. 

Interest rate basis swaps

These are interest rate swaps where both sides are floating and linked to a different index. The 804 US dollar-denominated trades in this three-week period can be categorised into the following types: one-month Libor vs three-month Libor with 322 trades; Fed funds vs three-month Libor with 271 trades; and three-month Libor vs six-month Libor with 186 trades.

Other US dollar indexes such as the Securities Industry and Financial Markets Association (Sifma) and Bond Market Association’s (BMA) muni swap indexes and the Prime index each have fewer than five trades.

Figure 1 shows:

• Trade counts by tenor for one-month Libor vs three-month Libor. 
• Five years is the most common tenor, followed by one year.
• A Libor one-month curve can be derived out to 30 years from a Libor three-month curve.

Cross-currency basis swaps

The most common cross-currency swaps are euro/US dollar, where one side references three-month Euribor and the other references three-month Libor.

Figure 2 shows:

• One, two, five and 10 years are the most traded tenors.
• There were a total of 490 trades and over $92 billion in gross notionals.
• This trading activity is shown in the movement of the euro/US dollar cross-currency basis. As of September 22, the basis spread was –3bp at the short end, –38bp at 10 years and –21bp at 30 years.

Inflation swaps

In the inflation swap market, the US consumer price index, UK retail price index and Europe’s harmonised index of consumer prices ex-tobacco are the major indexes traded.

Figure 3 shows:

• The range of tenors that traded from one year to 30 years in the three-week period.
• One, five and 10 years are the most traded tenors.
• A total of 368 trades were executed, with more than $18 billion in gross notionals.

Caps and floors

Caps and floors are strips of interest rate options that reference an interest rate index. A surprisingly decent number of these are traded in US dollars; surprising as US dollar swaptions are such a large market that they dominate option trading in the asset class.

Table B shows:

• One-month Libor is by far the most common reference index.
• Collars, floors and caps are the types traded.
• Isda Fix, which is now known as Ice Swap rate, also has a reasonable number of trades.
• There are a handful of trades in other indexes.

Exotics

Anything with the name ‘exotic’ is bound to attract attention. Unfortunately, while there are 1,027 trades specified as exotic, the data format and data published on these is lacking in detail.

Among the types that can be distinguished are:

• Variable notional swaps.
• Constant maturity swaps – which includes constant maturity treasuries.
• Spread options.
• Callable swaps.
• Embedded options.
• Indexes. 

However, the data does not allow meaningful characteristics and counts of these to be collated – we can only analyse the numbers of trades that take place and generic fields like execution time and notional.

Regulatory reporting needs a feedback loop, so that as the industry starts to understand and make use of public data, it drives a process to improve formats and quality of disclosure. Is that too much to ask? Probably. 

Amir Khwaja is chief executive of Clarus Financial Technology.