Forecasting with equilibrium-correction models during structural breaks

When location shifts occur, cointegration-based equilibrium-correction models (EqCMs) face forecasting problems. We consider alleviating such forecast failure by updating, intercept corrections, differencing, and estimating the future progress of an 'internal' break. Updating leads to a lo...

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Главные авторы: Castle, J, Fawcett, N, Hendry, D
Формат: Journal article
Опубликовано: Elsevier 2010
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author Castle, J
Fawcett, N
Hendry, D
author_facet Castle, J
Fawcett, N
Hendry, D
author_sort Castle, J
collection OXFORD
description When location shifts occur, cointegration-based equilibrium-correction models (EqCMs) face forecasting problems. We consider alleviating such forecast failure by updating, intercept corrections, differencing, and estimating the future progress of an 'internal' break. Updating leads to a loss of cointegration when an EqCM suffers an equilibrium-mean shift, but helps when collinearities are changed by an 'external' break with the EqCM staying constant. Both mechanistic corrections help compared to retaining a pre-break estimated model, but an estimated model of the break process could outperform. We apply the approaches to EqCMs for UK M1, compared with updating a learning function as the break evolves.
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spelling oxford-uuid:f9656b10-65ea-4d23-9f58-6c48319da49e2022-03-27T12:57:38ZForecasting with equilibrium-correction models during structural breaksJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:f9656b10-65ea-4d23-9f58-6c48319da49eSymplectic Elements at OxfordElsevier2010Castle, JFawcett, NHendry, DWhen location shifts occur, cointegration-based equilibrium-correction models (EqCMs) face forecasting problems. We consider alleviating such forecast failure by updating, intercept corrections, differencing, and estimating the future progress of an 'internal' break. Updating leads to a loss of cointegration when an EqCM suffers an equilibrium-mean shift, but helps when collinearities are changed by an 'external' break with the EqCM staying constant. Both mechanistic corrections help compared to retaining a pre-break estimated model, but an estimated model of the break process could outperform. We apply the approaches to EqCMs for UK M1, compared with updating a learning function as the break evolves.
spellingShingle Castle, J
Fawcett, N
Hendry, D
Forecasting with equilibrium-correction models during structural breaks
title Forecasting with equilibrium-correction models during structural breaks
title_full Forecasting with equilibrium-correction models during structural breaks
title_fullStr Forecasting with equilibrium-correction models during structural breaks
title_full_unstemmed Forecasting with equilibrium-correction models during structural breaks
title_short Forecasting with equilibrium-correction models during structural breaks
title_sort forecasting with equilibrium correction models during structural breaks
work_keys_str_mv AT castlej forecastingwithequilibriumcorrectionmodelsduringstructuralbreaks
AT fawcettn forecastingwithequilibriumcorrectionmodelsduringstructuralbreaks
AT hendryd forecastingwithequilibriumcorrectionmodelsduringstructuralbreaks