About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Brits Say HFT Does Not Lead to Volatility

Subscribe to our newsletter

A report published by the U.K. government says that there is no evidence that high frequency trading leads to increased volatility, which is a key driver of market data rates.

The report – The Future of Computer Trading in Financial Markets – by the U.K. government’s Office for Science – which is not a regulator – finds “Economic research thus far provides no direct evidence that high frequency computer based trading has increased volatility.”

The report does however conclude:

“However, in specific circumstances, a key type of mechanism can lead to significant instability in financial markets with computer based trading (CBT): self-reinforcing feedback loops (the effect of a small change looping back on itself and triggering a bigger change, which again loops back and so on) within well-intentioned management and control processes can amplify internal risks and lead to undesired interactions and outcomes.

The feedback loops can involve risk-management systems, and can be driven by changes in market volume or volatility, by market news, and by delays in distributing reference data.

A second cause of instability is social: a process known as normalisation of deviance, where unexpected and risky events come to be seen as ever more normal (e.g. extremely rapid crashes), until a disaster occurs.”

The full report can be downloaded here.

Regulators in several European countries, and the U.S., are investigating HFT and the role it plays in the financial markets, and are considering ways to curb it. At the same time, general conditions in the equities markets has made HFT a less profitable strategy, causing some trading firms to look to introduce it to other asset classes (in less regulated markets).

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Date: 17 March 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of...

BLOG

When Margin Moves Upstream: How TT is Reworking Trading Decisions After the OpenGamma Deal

More than a month after completing its acquisition of OpenGamma, Trading Technologies is beginning to articulate how the deal is intended to change the way firms think about margin, capital efficiency, and trading decision-making. Rather than positioning margin as a downstream risk or treasury concern, TT is now framing capital efficiency as a front-office variable...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Practical Applications of the Global LEI – Client On-Boarding and Beyond

The time for talking is over. The time for action is now. A bit melodramatic, perhaps, but given last month’s official launch of the global legal entity identifier (LEI) standard, practitioners are rolling up their sleeves and getting on with figuring out how to incorporate the new identifier into their customer and entity data infrastructures....