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On the asymmetries of sovereign credit rating announcements and financial market development in the European region

  • Chunling Li
  • , Khansa Pervaiz
  • , Muhammad Asif Khan*
  • , Faheem Ur Rehman
  • , Judit Oláh
  • *Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

Abstract

In modeling the impact of sovereign credit rating (CR) on financial markets, a considerable amount of the literature to date has been devoted to examining the short-term impact of CR on financial markets via an event-study methodology. The argument has been established that financial markets are sensitive to CR announcements, and market reactions to such announcements (both upgrading and degrading) are not the same. Using the framework of an autoregressive distributed lag setting, the present study attempted to empirically test the linear and non-linear impacts of CR on financial market development (FMD) in the European region. Nonlinear specification is capable to capture asymmetries (upgrades and downgrades) in the estimation process, which have not been considered to date in financial market literature. Overall findings identified long-term asymmetries, while there was little evidence supporting the existence of short-term asymmetries. Thus, the present study has extended the financial market literature on the subject of the asymmetrical impact of a sovereign CR on European FMD and provides useful input for policy formation taking into account these nonlinearities. Policies solely based upon linear models may be misleading and detrimental.

Original languageEnglish
Article number6636
JournalSustainability (Switzerland)
Volume11
Issue number23
DOIs
StatePublished - 1 Dec 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 by the authors.

Keywords

  • Asymmetries
  • Credit rating
  • Financial market development
  • Moody's
  • Standard and Poor's

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Environmental Science (miscellaneous)
  • Energy Engineering and Power Technology
  • Hardware and Architecture
  • Computer Networks and Communications
  • Management, Monitoring, Policy and Law

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