BoE paper outlines big-data-based early warning indicator

Text mining approach seeks to capture how narratives can drive action in financial markets

newspapers-stack
The paper seeks to extract sentiment from text – including business news

Research published by the Bank of England draws on text mining in an effort to show how narratives can drive decision-making, helping to produce an early warning indicator for the financial system.

The authors make use of unstructured data – text – from Reuters news articles, internal Bank of England communications and broker research reports. They seek out “conviction narratives”, the sorts of phrases that might persuade people to become more excited or anxious and act accordingly.

Having

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

Most read articles loading...

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

.