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e-Forex July 22

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TRADING OPERATIONS<br />

Bringing more transparency and efficiency to the FX Liquidity Management process<br />

“Over the last five to ten years we’ve seen an increase in the<br />

level of detail in liquidity management reports. It is so much<br />

more complex because of the amount of data.”<br />

Geoff Jones<br />

because of the volume of data. People<br />

are not only using more liquidity<br />

providers but the market data also<br />

changes faster.”<br />

The profile of liquidity providers has<br />

also moved beyond those early days<br />

when there was a difference between<br />

bank and non-bank liquidity. “It is no<br />

longer a fair statement to say banks<br />

are good or execute one way or nonbanks<br />

are not and execute in others.<br />

Many non-banks are genuine liquidity<br />

providers,” says Jones.<br />

“There was a period when a number<br />

of third parties were building<br />

platforms that enabled takers to<br />

bypass measures designed to protect<br />

liquidity providers and maintain good<br />

liquidity. So whilst the focus of the<br />

industry has been on liquidity provider<br />

behaviour, there is a responsibility<br />

on platforms and clients to ensure<br />

good market practice. Some of this<br />

technology was imported from other<br />

asset classes with centralised rather<br />

than over-the-counter trading. In OTC<br />

markets is not just about technology<br />

but also about relationships,” says<br />

Jones. “As a liquidity manager, we<br />

have the ability to see everything<br />

which means we can facilitate<br />

effective conversations between<br />

liquidity providers and takers.<br />

Good liquidity providers set out<br />

their expectations and good clients<br />

understand what is expected of them.<br />

Not all firms have access to the data to<br />

support these conversations but there<br />

are a lot of independent firms out<br />

there that can support smaller firms.<br />

Clients and liquidity providers are<br />

doing themselves a disservice by not<br />

using this data.”<br />

“Markout data plays the biggest role,<br />

it gives you an idea of how both sides<br />

behave. Transaction cost analysis (TCA)<br />

and peer analysis is also powerful.<br />

The data and analytics help support<br />

conversations that should be taking<br />

place” says Jones.<br />

“Liquidity management can be done<br />

without independent providers but<br />

the question is ‘what do I not know?’.<br />

That peer analysis cannot be done on<br />

a bilateral basis. That level of analysis<br />

really lends itself to providers like<br />

Refintiv supporting the FX liquidity<br />

management process. It can help the<br />

Liquidity Provider realise when they are<br />

an anomaly,” he says.<br />

GREAT RESPONSIBILITY<br />

When it comes to the evolution<br />

of liquidity management, one of<br />

the biggest changes has been a<br />

much greater awareness by market<br />

participants of their responsibilities<br />

when they engage with their liquidity<br />

providers.<br />

“Liquidity managers at tier 2 banks<br />

are cognisant that they are part of a<br />

wider ecosystem and that to get the<br />

best pricing from the best liquidity<br />

providers, you have to take more<br />

responsibility for your flow,” says John<br />

Stead, Global Head of Pre-Sales at<br />

smartTrade. “If you are just smashing<br />

the market, you will get wide spreads<br />

or just cut off.”<br />

An important development on the technology side has been the use of artifi cial intelligence and machine learning<br />

to produce predictive analytics<br />

There are a number of drivers that<br />

have accelerated the evolution of<br />

liquidity management, says Stead.<br />

“Firstly, there is less ‘fat’ in the<br />

industry as a whole. Tier 1 banks<br />

are facing ever tighter margins and<br />

are looking more closely at liquidity<br />

and the trading patterns of their<br />

counterparties. Secondly, there is also<br />

more technology available to liquidity<br />

providers to identify bad behaviour<br />

from underlying price takers. For<br />

example, technology such as<br />

smartTrade’s AI Analytics allows banks<br />

to analyse clients’ trading patterns<br />

<strong>22</strong> JULY 20<strong>22</strong> e-FOREX

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