A Novel Approach to Forecasting After Large Forecast Errors

ABSTRACT A sequence of increasingly large same‐sign 1‐step‐ahead forecast errors are most likely due to a sudden unexpected shift. Large forecast errors can be expensive, but also contain valuable information. Impulse indicators acting as intercept corrections to set forecasts back on track can be quickly tested for replacing outliers, a location shift or broken trend, greatly improving forecast accuracy. The analysis is applied to forecasting the UK's annual consumer price inflation which rose rapidly from mid‐2021 to over 9% in 2022 after a series of essentially unpredictable shocks led to large forecast errors by the Bank of England.

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Publication Details

Journal
Journal of Forecasting
Published
2025-10-29
DOI
https://doi.org/10.1002/for.70062
Primary Topic
Economic, financial, and policy analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

A Novel Approach to Forecasting After Large Forecast Errors

David F. Hendry, Jurgen A. Doornik, Jennifer L. Castle
Journal of Forecasting
Economic, financial, and policy analysis
article

A Novel Approach to Forecasting After Large Forecast Errors

David F. Hendry, Jurgen A. Doornik, Jennifer L. Castle
article en

Abstract

ABSTRACT A sequence of increasingly large same‐sign 1‐step‐ahead forecast errors are most likely due to a sudden unexpected shift. Large forecast errors can be expensive, but also contain valuable information. Impulse indicators acting as intercept corrections to set forecasts back on track can be quickly tested for replacing outliers, a location shift or broken trend, greatly improving forecast accuracy. The analysis is applied to forecasting the UK's annual consumer price inflation which rose rapidly from mid‐2021 to over 9% in 2022 after a series of essentially unpredictable shocks led to large forecast errors by the Bank of England.

Journal of ForecastingVol. 45(2)
Northeast Catholic College (US), University of Oxford (GB)
University of Oxford, Norges Forskningsråd, Nuffield College, University of Oxford
Openalex Percentile: Top 51%
Economic, financial, and policy analysis
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