BlackRock tests ‘quantum cognition’ AI for high-yield bond picks

Study uses Qognitive machine learning model to find liquid substitutes for hard-to-trade securities

BlackRock has teamed up with an artificial intelligence firm established by a US hedge fund to test a new way to classify corporate bonds using AI.

The asset manager worked with Qognitive to use the firm’s quantum cognition machine learning model to pick the most similar liquid replacements for hard-to-trade high-yield bonds, a common class of problem in investing.

The proof of concept has gone wellJoshua Rosaler, BlackRock

In tests, QCML seemed to do a better job of identifying similar bonds than

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 copy this content. Please contact info@risk.net to find out more.

Sorry, our subscription options are not loading right now

Please try again later. Get in touch with our customer services team if this issue persists.

New to Risk.net? View our subscription options

Want to know what’s included in our free membership? Click here

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here