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A tale of two recession-derivative indicators

Two recession-derivative indicators (RDIs) have been used extensively as forecast objects in business cycle prediction, viz. (1) the target variable takes value 1 if there is a recession starting exactly at a specific horizon in the future, and (2) the target variable takes value 1 if there is a rec...

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Autores principales: Lahiri, Kajal, Yang, Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909658/
https://www.ncbi.nlm.nih.gov/pubmed/36785768
http://dx.doi.org/10.1007/s00181-023-02361-6
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author Lahiri, Kajal
Yang, Cheng
author_facet Lahiri, Kajal
Yang, Cheng
author_sort Lahiri, Kajal
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description Two recession-derivative indicators (RDIs) have been used extensively as forecast objects in business cycle prediction, viz. (1) the target variable takes value 1 if there is a recession starting exactly at a specific horizon in the future, and (2) the target variable takes value 1 if there is a recession starting any time over a specified period in the future. Using daily yield spread as an illustrative predictor, we formally and quantitatively compare the two RDIs using the receiver operating characteristics analysis. Over 1962–2021 covering eight NBER recessions, we find that generally the second RDI, ceteris paribus, will make the the predictor better performing. However, the first RDI can generate better-looking and more useful predictions under certain scenarios, depending on forecast horizon, recession duration and time profile of signals. We also consider a semiannual chronology proposed by Peláez (J Macroecon 45:384–393, 2015) and find that its performance is in the middle of the other two. Our analysis suggests that the choice of a particular RDI should be dictated by the needs of forecast user in a particular decision making context.
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spelling pubmed-99096582023-02-09 A tale of two recession-derivative indicators Lahiri, Kajal Yang, Cheng Empir Econ Article Two recession-derivative indicators (RDIs) have been used extensively as forecast objects in business cycle prediction, viz. (1) the target variable takes value 1 if there is a recession starting exactly at a specific horizon in the future, and (2) the target variable takes value 1 if there is a recession starting any time over a specified period in the future. Using daily yield spread as an illustrative predictor, we formally and quantitatively compare the two RDIs using the receiver operating characteristics analysis. Over 1962–2021 covering eight NBER recessions, we find that generally the second RDI, ceteris paribus, will make the the predictor better performing. However, the first RDI can generate better-looking and more useful predictions under certain scenarios, depending on forecast horizon, recession duration and time profile of signals. We also consider a semiannual chronology proposed by Peláez (J Macroecon 45:384–393, 2015) and find that its performance is in the middle of the other two. Our analysis suggests that the choice of a particular RDI should be dictated by the needs of forecast user in a particular decision making context. Springer Berlin Heidelberg 2023-02-09 /pmc/articles/PMC9909658/ /pubmed/36785768 http://dx.doi.org/10.1007/s00181-023-02361-6 Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Lahiri, Kajal
Yang, Cheng
A tale of two recession-derivative indicators
title A tale of two recession-derivative indicators
title_full A tale of two recession-derivative indicators
title_fullStr A tale of two recession-derivative indicators
title_full_unstemmed A tale of two recession-derivative indicators
title_short A tale of two recession-derivative indicators
title_sort tale of two recession-derivative indicators
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9909658/
https://www.ncbi.nlm.nih.gov/pubmed/36785768
http://dx.doi.org/10.1007/s00181-023-02361-6
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