BoE paper questions dominance of Normal distribution

VAR model featuring 'fat tails' performs better

Bank of England artwork
The Bank of England

Research published on May 29 by the Bank of England (BoE) has struck a blow against macroeconomic modelling using the Normal distribution, instead emphasising the superior performance of the t distribution.

The working paper, Forecasting with VAR models: fat tails and stochastic volatility, by Ching-Wai (Jeremy) Chiu, Haroon Mumtaz and Gabor Pinter, features a vector autoregression (VAR) based on the t distribution, which allows for a greater probability of extreme events via its "fat tails"

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

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

.