Mantovan, Noemi
ORCID: 0000-0002-5930-4880, Alsakka, Rasha and Nguyen, Phuc Lam Thy
(2023)
The Impact of Sovereign Credit Ratings on Voters’ Preferences
Journal of Banking and Finance, 154.
p. 106938.
ISSN 0378-4266, 1872-6372
|
Text
JBF- Accepted- Manuscript- June 2023.docx - Author Accepted Manuscript Download (1MB) |
Abstract
We investigate the political power of credit rating agencies by building a theoretical model that illustrates how heterogeneous voters change their political preferences after receiving credit signals which infer the quality of their governments. We empirically test this hypothesis using a rich dataset of daily sovereign ratings, outlook and watch signals assigned by S&P, Moody's and Fitch to EU countries from 2000 to 2017, along with a unique dataset measuring public support for governments. We find that negative rating signals lead to a significant decrease in government support, therefore influencing the electoral prospects of political parties. Both sociotropic and egocentric voters’ preferences are affected by sovereign ratings. Our results are confirmed across a battery of robustness tests and various modelling approaches, including fixed effects and difference in differences models and propensity score matching. Our findings offer wide-ranging implications for policy makers, political parties, governments, and the rating industry.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Sovereign credit ratings, Opinion poll, Voting behavior |
| Divisions: | Faculty of Humanities & Social Sciences > School of Management |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 19 Jun 2023 10:45 |
| Last Modified: | 01 Mar 2026 04:57 |
| DOI: | 10.1016/j.jbankfin.2023.106938 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3171082 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
Altmetric
Altmetric