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Extracting the Information Shocks from the Bank of England Inflation Density Forecasts

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journal contribution
posted on 2018-04-24, 08:08 authored by Carlos Díaz
This paper shows how to extract the density of the information shocks from the revisions of the Bank of England’s inflation density forecasts. An information shock is defined in this paper as a random variable that contains the set of information made available between two consecutive forecasting exercises and that has been incorporated into a revised forecast for a fixed point event. Studying the moments of these information shocks can be useful to understand how the Bank has changed its assessment of risks surrounding inflation in the light of new information, and how it has modified its forecasts accordingly. The variance of the information shock is interpreted in this paper as a new measure of ex-ante inflation uncertainty, that measures the uncertainty that the Bank anticipates that information perceived in a particular quarter will pose on inflation. A measure of information absorption that indicates the approximate proportion of the information content in a revised forecast that is attributable to information made available since the last forecast release is also proposed.

Funding

This research used the ALICE High Performance Computing Facility at the University of Leicester.

History

Citation

Journal of Forecasting, 2018, 37(3) pp. 316-326

Author affiliation

/Organisation/COLLEGE OF SOCIAL SCIENCES, ARTS AND HUMANITIES/Department of Economics

Version

  • AM (Accepted Manuscript)

Published in

Journal of Forecasting

Publisher

Wiley

issn

0277-6693

eissn

1099-131X

Acceptance date

2017-10-26

Copyright date

2018

Publisher version

https://onlinelibrary.wiley.com/doi/abs/10.1002/for.2501

Notes

The file associated with this record is under embargo until 24 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above.

Language

en

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