How Bloomberg got liquidity seekers to trust its machine learning models
Recent liquidity squeezes have proved the worth of advanced models, argues the tech giant. Now the task is to explain their inner workings to machine learning sceptics
Being able to explain how machine learning models work has been a point of contention since the technology’s inception. Bloomberg is set to release further empirical metrics, at the end of this year, to bolster its liquidity models’ explainability. The metrics will initially be available via Bloomberg data feeds and featured more prominently on the Bloomberg Terminal liquidity screens later in
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
FSB warns of ‘circles of risks’ in bank risk transfer deals
Credit lines, portfolio financing and NAV facilities for private credit funds could rebound on banks
Hedge fund CIO flags risks from ‘fragile’ market structure
Next big market shock will lead to “liquidity driven bankruptcies”, says Adapt’s Maubourguet
Quants like Andrew Ang are making the case for AI agents
AI agents can boost human managers by analysing investments, risks and portfolio choices at scale
The dollar do-si-do: hedgers review FX moves
Brief return of US dollar to safe-haven status amid Iran upheaval prompts real money investors to pause hedging activity
Middle East crisis revives demand for VKOs – with a twist
Equity investors balance fear and optimism by pairing 2022’s best hedge with lookback options
In the age of GenAI, why do we still need good models?
Jean-Philippe Bouchaud says models can guide artificial intelligence through regime shifts and away from overfitting
Iran confusion makes the case for causal modelling
A new test model built using Claude suggests oil prices may surge back above $100
The MIT professor giving LLMs a ‘brain scan’
Hui Chen’s research is yielding new ways to interpret – and steer – AI models
