Gains from Switching Between Forecasts
Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling
ISBN: 978-1-80262-062-7, eISBN: 978-1-80262-061-0
Publication date: 18 January 2022
Abstract
It is rare for the forecasts of one economic forecasting model to always be more accurate than the forecasts from an alternative model. This suggests the possibility of implementing a switching strategy that chooses, at each point in time, the forecasting model that is expected to be most accurate conditional on a set of instruments that are used to track the relative accuracy of the underlying forecasts. The authors analyze the factors determining the expected gains from such a switching rule over a strategy of always using one of the underlying forecasts. The authors derive bounds on the expected gains from switching for both the nested and non-nested cases and also analyze the case with a highly persistent (near-unit root) predictor variable.
Keywords
Acknowledgements
Acknowledgments
We are grateful to two anonymous referees for many constructive comments.
Citation
Timmermann, A. and Zhu, Y. (2022), "Gains from Switching Between Forecasts", Chudik, A., Hsiao, C. and Timmermann, A. (Ed.) Essays in Honor of M. Hashem Pesaran: Prediction and Macro Modeling (Advances in Econometrics, Vol. 43A), Emerald Publishing Limited, Leeds, pp. 99-116. https://doi.org/10.1108/S0731-90532021000043A006
Publisher
:Emerald Publishing Limited
Copyright © 2022 Allan Timmermann and Yinchu Zhu