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2013 | 124 | 193-216

Article title

Kryteria wyboru dynamicznych modeli czynnikowych dla celów prognostycznych

Authors

Content

Title variants

EN
Selection Criteria for Forecasting Dynamic Factor Models

Languages of publication

PL

Abstracts

EN
The paper compares three groups of methods used for best dynamic factor model selection for forecasting: modified information criteria, methods exclusively based on ex post forecasts analysis and mixed algorithms. It searches for the approach that delivers best out-of-sample forecasts according to mean square error measure. The analysis utilizes both Monte Carlo generated samples as well as real time series used for forecasting consumer inflation in Poland. Results show that best forecasts are obtained from the modified information criteria proposed by Groen and Kapetanios, whereas the methods that employ ex post forecasts from rolling windows usually give the worst predictions.

Year

Volume

124

Pages

193-216

Physical description

Contributors

References

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Document Type

Publication order reference

Identifiers

ISSN
2083-8611

YADDA identifier

bwmeta1.element.desklight-e0e96a7e-9dbe-4673-b87b-89b67f248a11
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