BoE paper: mining newspaper text can boost forecasts

Authors design “powerful new method” of incorporating text information into macroeconomic forecasts

RegTech Convention 2022
The Bank of England
RegTech Convention 2022

Information taken from the texts of newspapers using AI tools can “significantly” improve forecasts of the economy, researchers say in a new Bank of England working paper.

Eleni Kalamara, Arthur Turrell, Chris Redl, George Kapetanios and Sujit Kapadia combine machine learning with “text-feature engineering”, which draws out a “large number of features”, or regressors, from the text of three popular UK newspapers.

In contrast to many other studies of information ‘mined’ from text, which have

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

.