Caruso, Alberto and Coroneo, Laura orcid.org/0000-0001-5740-9315 (2023) Does real-time macroeconomic information help to predict interest rates? Journal of Money Credit and Banking. ISSN: 0022-2879
Abstract
We analyse the predictive ability of real-time macroeconomic information for the yield curve of interest rates. We specify a mixed-frequency macro-yields model in real-time that incorporates interest rate surveys and treats macroeconomic factors as unobservable components. Results indicate that real-time macroeconomic information is helpful to predict interest rates, and that data revisions drive a superior predictive ability of revised macro data over real-time macro data. We also find that interest rate surveys can have significant predictive power over and above real-time macro variables.
Metadata
| Item Type: | Article | 
|---|---|
| Authors/Creators: | 
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| Copyright, Publisher and Additional Information: | © 2023 The Ohio State University. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details | 
| Keywords: | Government Bonds,Factor Models,Real-Time Macroeconomics,survey data,Forecasting | 
| Dates: | 
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| Institution: | The University of York | 
| Academic Units: | The University of York > Faculty of Social Sciences (York) > Economics and Related Studies (York) | 
| Depositing User: | Pure (York) | 
| Date Deposited: | 22 Sep 2022 15:31 | 
| Last Modified: | 18 Sep 2025 23:12 | 
| Published Version: | https://doi.org/10.1111/jmcb.13021 | 
| Status: | Published online | 
| Refereed: | Yes | 
| Identification Number: | 10.1111/jmcb.13021 | 
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:191271 | 

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