A high-dimensional GDP-at-risk and Inflation-at-risk for the euro area
Matteo Santi ()
Additional contact information
Matteo Santi: Bank of Italy
No 1484, Temi di discussione (Economic working papers) from Bank of Italy, Economic Research and International Relations Area
Abstract:
GDP-at-risk and Inflation-at-risk are standard measures of tail risk in modern macroeconometrics, adapted from tools originally developed in the financial risk management literature. In this paper, these indicators are estimated for the euro area and its Member States by leveraging a high-dimensional dataset in the construction of time-varying conditional distributions of GDP growth and inflation. The distributions obtained at country level are used to assess how the synchrony of euro-area countries' business cycles has evolved since the introduction of the euro. The results indicate significant asymmetries in the balance between upside and downside risks for both GDP and inflation, and a persistently weak synchrony for the left tails of GDP growth distributions during episodes of crisis.
Keywords: GDP-at-risk; Inflation-at-risk; high-dimensional macroeconometrics (search for similar items in EconPapers)
JEL-codes: C58 E23 E27 E37 (search for similar items in EconPapers)
Date: 2025-03
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.bancaditalia.it/pubblicazioni/temi-dis ... 484/en_tema_1484.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bdi:wptemi:td_1484_25
Access Statistics for this paper
More papers in Temi di discussione (Economic working papers) from Bank of Italy, Economic Research and International Relations Area Contact information at EDIRC.
Bibliographic data for series maintained by ().