Measures of the severity of macroeconomic scenarios have been widely used in the litera-ture, but a consistent methodology for their calculation has not been developed yet. Against this background, we provide a general method for calculating the joint probability of observing a macroeconomic scenario, which can be applied to various structural models. By doing so, we can attach probabilities to scenarios produced with multidimensional eco-nomic models to compare their severity and plausibility. We apply our methodology to the 2016 and 2018 EBA stress test scenarios and also provide reverse stress test applications. Our results show that for the Italian economy, the 2016 and 2018 EBA scenarios are unli-kely, especially the 2016 one. The reverse stress tests allow us to identify the key variables that affect our probabilities.

How severe are the EBA macroeconomic scenarios for the Italian Economy? A joint probability approach / Bonucchi, Manuel; Catalano, Michele. - In: JOURNAL OF INTERNATIONAL MONEY AND FINANCE. - ISSN 0261-5606. - 129:(2022). [10.1016/j.jimonfin.2022.102735]

How severe are the EBA macroeconomic scenarios for the Italian Economy? A joint probability approach

Catalano, Michele
2022-01-01

Abstract

Measures of the severity of macroeconomic scenarios have been widely used in the litera-ture, but a consistent methodology for their calculation has not been developed yet. Against this background, we provide a general method for calculating the joint probability of observing a macroeconomic scenario, which can be applied to various structural models. By doing so, we can attach probabilities to scenarios produced with multidimensional eco-nomic models to compare their severity and plausibility. We apply our methodology to the 2016 and 2018 EBA stress test scenarios and also provide reverse stress test applications. Our results show that for the Italian economy, the 2016 and 2018 EBA scenarios are unli-kely, especially the 2016 one. The reverse stress tests allow us to identify the key variables that affect our probabilities.
File in questo prodotto:
File Dimensione Formato  
final_full_manuscript.pdf

Open Access dal 02/09/2024

Tipologia: Documento in post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza d'uso: Creative commons
Dimensione 1.21 MB
Formato Adobe PDF
1.21 MB Adobe PDF Visualizza/Apri
1-s2.0-S0261560622001383-main.pdf

Solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza d'uso: Tutti i diritti riservati
Dimensione 2.13 MB
Formato Adobe PDF
2.13 MB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/335953
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact