The yield spread's ability to forecast economic activity: What have we learned after 30 years of studies?
Document Type
Article
Source of Publication
Journal of Business Research
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.
DOI Link
ISSN
Publisher
Elsevier Inc.
Volume
106
First Page
221
Last Page
232
Disciplines
Business
Keywords
Business cycle forecasting, Leading indicators, Meta-analysis, Yield spread
Scopus ID
Recommended Citation
Evgenidis, Anastasios; Papadamou, Stephanos; and Siriopoulos, Costas, "The yield spread's ability to forecast economic activity: What have we learned after 30 years of studies?" (2020). All Works. 3643.
https://zuscholars.zu.ac.ae/works/3643
Indexed in Scopus
yes
Open Access
no