Online machine learning can warn of impending crisis – Hélène Rey

Hélène Rey
Hélène Rey
Photo: ECB

Online machine learning holds promise as a means of detecting impending crises early enough to take action, economist Hélène Rey says.

“Macro-prudential authorities in some cases have to take action to increase buffers two years before the problem arises,” Rey says in a recent interview with Central Banking. “So, you need a framework for early warning indicators.”

The online approach has been applied more widely in the machine learning literature, where the “true” model of the underlying data

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@centralbanking.com or view our subscription options here: http://subscriptions.centralbanking.com/subscribe

You are currently unable to copy this content. Please contact info@centralbanking.com 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 Central Banking? View our subscription options

Register for Central Banking

All fields are mandatory unless otherwise highlighted

This address will be used to create your account

You need to sign in to use this feature. If you don’t have a Central Banking 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

.