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

From Noise to Signal: How AI is Revolutionising Data Discovery for Traders and Investment Managers

The financial markets have never suffered from a lack of data. If anything, the challenge for modern traders and investment managers is quite the opposite: they are drowning in it. From real-time pricing and news feeds to unstructured earnings call transcripts and social media sentiment, the volume of information is immense. The critical differentiator in...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

Regulatory Data Handbook 2022/2023 – Tenth Edition

Welcome to the tenth edition of A-Team Group’s Regulatory Data Handbook, a publication that has tracked new regulations, amendments, implementation and data management requirements as regulatory change has impacted global capital markets participants over the past 10 years. This edition of the handbook includes new regulations and highlights some of the major regulatory interventions challenging...