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
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