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

Bloomberg Introduces Alternative Data Entitlements, Bringing Premium Datasets Deeper into Research Workflows

Bloomberg has introduced Alternative Data Entitlements within its ALTD platform on the Bloomberg Terminal, reflecting a broader institutional shift towards embedding alternative data directly into established research workflows rather than treating it as a standalone input. The new entitlement capability enables Bloomberg Terminal users to access faster, more granular alternative data analytics from specialist providers...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulation and Risk as Data Management Drivers

A-Team Group recently held a webinar on the topic of Regulation and Risk as Data Management Drivers. Fill in the form to get immediate access to the accompanying Special Report. Alongside death and taxes, perhaps the only other certainty in life is that regulation of the financial markets will increase in future years. How do...