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: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

Date: 20 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining...

BLOG

Unlocking Wall Street’s Dark Data: How AI Agents are Transforming Trading Floor Chat

For decades, some of the most valuable information in financial markets has been hiding in plain sight. Client intent, actionable orders, and vital market colour have been locked within the unstructured, transient streams of human-to-human chat. On trading floors worldwide – particularly in over-the-counter (OTC) markets – this conversational data represents a multi-trillion-dollar blind spot:...

EVENT

Eagle Alpha Alternative Data Conference, Spring, New York, hosted by A-Team Group

Now in its 9th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...