Quants look to language models to predict market impact
Oxford-Man Institute says LLM-type engine that ‘reads’ order-book messages could help improve execution
Quants using the technology behind tools such as ChatGPT have developed a model that can forecast how large trades might move asset prices.
A team at the Oxford-Man Institute – a research unit at the University of Oxford co-founded and funded by the Man Group hedge fund – has built a machine learning model that roots out patterns in the messages traders send to an exchange’s limit order book.
Stefan Zohren, a research fellow at the institute and a quant at Man Group overlooking futures
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@risk.net
More on Investing
Podcast: Alexandre Antonov turns down the noise in Markowitz
Adia quant explains how to apply hierarchical risk parity to a minimum-variance portfolio
Bank of England mustering unit to model system-wide stresses
Permanent team at UK supervisor will work on buy- and sell-side interactions
Why vol markets shrugged off Nvidia rout
Gamma, autocalls and stock dispersion helped prevent a broader market meltdown
Reverse dispersion gains traction as implied spread jumps
Inverted strategy on Euro Stoxx 50 gains popularity for profit-taking and correlation play
Why JP Morgan’s Santos wants to make bad news travel fast
Asset management CRO says sharing information early holds the key to avoiding surprises
Housing price diffusion study offers lessons for quants – Bouchaud
Patterns seen in how heat spreads also show up in markets, research shows
Yen rise spurs Japanese rates market surge
Traders are moving on an expectation of increased yen volatility in 2025
Diversification of LDI liquidity buffers sparks debate
Funds using credit assets to top up collateral waterfall, but some risk managers are sceptical
