BoE paper finds fault with empirical methods for studying contagion

Review of spillover and contagion literature finds methods plagued by bias and heteroskedasticity

bank-of-england-web
The Bank of England

The empirical literature suffers from major issues when seeking to study contagion, according to a staff working paper published by the Bank of England on August 11.

Roberto Rigobon points out due to the specific nature of contagion, all standard models suffer from an awkward combination of misspecification and heteroskedasticity, which leads to time-varying biases.

"In consequence, correlations, principal components, OLS regressions, event studies, VAR's, Arch and Garch models, Probit and Logit

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

.