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Article
The yield spread's ability to forecast economic activity: What have we learned after 30 years of studies?
Journal of Business Research
  • Anastasios Evgenidis, Newcastle University, United Kingdom
  • Stephanos Papadamou, Panepistimio Thesalias
  • Costas Siriopoulos, Zayed University
Document Type
Article
Publication Date
1-1-2020
Abstract

© 2018 Elsevier Inc. 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.

Publisher
Elsevier Inc.
Disciplines
Keywords
  • Business cycle forecasting,
  • Leading indicators,
  • Meta-analysis,
  • Yield spread
Scopus ID
85053160012
Indexed in Scopus
Yes
Open Access
No
https://doi.org/10.1016/j.jbusres.2018.08.041
Citation Information
Anastasios Evgenidis, Stephanos Papadamou and Costas Siriopoulos. "The yield spread's ability to forecast economic activity: What have we learned after 30 years of studies?" Journal of Business Research Vol. 106 (2020) p. 221 - 232 ISSN: <a href="https://v2.sherpa.ac.uk/id/publication/issn/0148-2963" target="_blank">0148-2963</a>
Available at: http://works.bepress.com/costas-syriopoulos/36/