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Lookup NU author(s): Dr Tasos Evgenidis
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
Forecasting economic activity has attracted a great deal of econometric work, while mixed evidence has been found concerning the ability of the yield spread to forecast gross domestic product (GDP). This paper uses a meta-analysis framework to deal with the heterogeneity in the results seen in the literature. Our findings suggest that nonlinearities, as well as the role of monetary policy, should be considered when modeling this relationship. We also find that the forecasting ability of the yield spread has become much stronger over the last twenty years. Moreover, we argue that the yield spread is a useful tool in predicting economic activity in many major world economies, particularly those of the US, Canada, and Europe and, more importantly, especially during financial stress periods. Last, we find that improvements in the stock market reduce the usefulness of the yield spread in predicting future economic activity.
Author(s): Evgenidis A, Papadamou S, Siriopoulos C
Publication type: Article
Publication status: Published
Journal: Journal of Business Research
Year: 2020
Volume: 106
Pages: 221-232
Print publication date: 01/01/2020
Online publication date: 13/09/2018
Acceptance date: 31/08/2018
Date deposited: 24/09/2018
ISSN (print): 0148-2963
ISSN (electronic): 1873-7978
Publisher: Elsevier
URL: https://doi.org/10.1016/j.jbusres.2018.08.041
DOI: 10.1016/j.jbusres.2018.08.041
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