Economic Policy Uncertainty and Sovereign Credit Rating Decisions: Panel Quantile Evidence for the Eurozone
Periklis Boumparis (),
Costas Milas and
Theodore Panagiotidis
Additional contact information
Periklis Boumparis: University of Liverpool, UK
Working Paper series from Rimini Centre for Economic Analysis
Abstract:
We employ a panel quantile framework that quantifies the relative importance of quantitative and qualitative factors across the conditional distribution of sovereign credit ratings in the Eurozone area. We find that regulatory quality and competitiveness have a stronger impact for low rated countries whereas GDP per capita is a major driver of high rated countries. A reduction in the current account deficit leads to a rating or outlook upgrade for low rated countries. Economic policy uncertainty impacts negatively on credit ratings across the conditional distribution; however, the impact is stronger for the lower rated countries. In other words, the creditworthiness of low rated countries takes a much bigger ‘hit’ than that of high rated countries when European policy uncertainty is on the rise.
Keywords: credit ratings; sovereign debt; panel quantile; Eurozone; uncertainty (search for similar items in EconPapers)
JEL-codes: C5 F3 G1 (search for similar items in EconPapers)
Date: 2017-08
New Economics Papers: this item is included in nep-eec
References: View complete reference list from CitEc
Citations: View citations in EconPapers (39)
Downloads: (external link)
http://www.rcea.org/RePEc/pdf/wp17-21.pdf
Related works:
Journal Article: Economic policy uncertainty and sovereign credit rating decisions: Panel quantile evidence for the Eurozone (2017) 
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:rim:rimwps:17-21
Access Statistics for this paper
More papers in Working Paper series from Rimini Centre for Economic Analysis Contact information at EDIRC.
Bibliographic data for series maintained by Marco Savioli ().