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

Recorded Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Unstructured data and text now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents. While AI has created new opportunities to extract signals, many firms are discovering that value is constrained not by models, but by the quality of the content, architecture,...

BLOG

Exegy and STRANDS Target Institutional Workflows for Prediction Market and Digital Asset Data

Exegy and STRANDS have announced a partnership to bring real-time prediction-market, digital-asset and smart-contract data from centralised and decentralised venues into Exegy’s Axiom consolidated feed service, with initial content scheduled for delivery in May 2026. The announcement extends Exegy’s market-data offering into a broader set of emerging asset classes and data types, including prediction markets,...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...