Skip to main navigation Skip to search Skip to main content

The sovereign yield curve and credit ratings in GIIPS

Research output: Contribution to journalArticlepeer-review

2 Downloads (Pure)

Abstract

This paper studies the impact of sovereign credit rating and outlook changes on the shape of the sovereign yield curve using data for five European countries, namely, Greece, Ireland, Italy, Portugal, and Spain, known as the GIIPS for the period of 2001–2016. We use the dynamic Nelson–Siegel model to estimate the level, slope, and curvature of the yield curve. Subsequently, we employ the vector autoregressive model to estimate the effect of sovereign rating and outlook changes on the sovereign yield curve. We find a significant effect of rating downgrades and an insignificant effect of rating upgrades in all five countries; however, the results for the effect of changes in outlook status are mixed. Our results remain robust to various sensitivity tests.

Original languageEnglish
Pages (from-to)895-916
Number of pages22
JournalInternational Review of Finance
Volume21
Issue number3
Early online date20 Apr 2020
DOIs
Publication statusPublished (in print/issue) - Sept 2021

Bibliographical note

Publisher Copyright:
© 2020 International Review of Finance Ltd. 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • credit ratings
  • dynamic Nelson–Siegel model and state-space model
  • sovereign bonds
  • term structure of sovereign yields

Fingerprint

Dive into the research topics of 'The sovereign yield curve and credit ratings in GIIPS'. Together they form a unique fingerprint.

Cite this