Extracting information shocks from the Bank of England inflation density forecasts. (10th December 2017)

• Record Type: Journal Article
• Authors: Díaz, Carlos
• Is Part Of: Journal of forecasting. Volume 37:Number 3(2018)
• Page Start: 316
• Page End: 326
• Publication Date: 2017-12-10
• Subjects: inflation forecasting -- density forecasts -- uncertainty -- forecast revisions; Forecasting -- Periodicals; Forecasting -- Mathematical models -- Periodicals; 003.2
• DOI: 10.1002/for.2501
• Languages: English
• ISSNs: 0277-6693

Abstract

Abstract: This paper shows how to extract the density of information shocks from 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 in understanding 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 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.