2019
DOI: 10.22236/agregat_vol3/is1pp46-57
|View full text |Cite
|
Sign up to set email alerts
|

The Determinants of Sovereign Credit Ratings: Indonesia and Its Neighborhood Countries 1998-2016

Abstract: The aim of this research is to study the determinants of sovereign credit ratings of Indonesia andits neighborhood countries in the period of 1998-2016. Using secondary data and analyzed usingordered probit, it is found that every credit rating agency has its own variables influencing to itspublished credit ratings.In general, for Indonesia and its neighborhood countries, the variables withsignificant and positive relationship are fiscal balance and current account deficit to GDP, freedomindex, and GDP per cap… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2019
2019

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 10 publications
(20 reference statements)
0
1
0
Order By: Relevance
“…The result show that adjusted R 2 is below 50 percent which shows that there exist other variables which may affect liquidly of government bonds. Alternative variables which can be incorporated in the model include foreign participation in bond market (Ebeke & Lu, 2015), the use of IT system such as Electronic Trading Platform (ETP), number of dealers and brokers, impact of government bond buyback, number of government debt (Gao, Jin, & Thompson, 2018), sovereign credit rating (Michel & Solikin, 2019), and debt switch. Psychological impacts in terms of behaviors of investors and impacts of rumors or news or announcements to bond market in Indonesia are also some topics or variables for future research.…”
Section: Resultsmentioning
confidence: 99%
“…The result show that adjusted R 2 is below 50 percent which shows that there exist other variables which may affect liquidly of government bonds. Alternative variables which can be incorporated in the model include foreign participation in bond market (Ebeke & Lu, 2015), the use of IT system such as Electronic Trading Platform (ETP), number of dealers and brokers, impact of government bond buyback, number of government debt (Gao, Jin, & Thompson, 2018), sovereign credit rating (Michel & Solikin, 2019), and debt switch. Psychological impacts in terms of behaviors of investors and impacts of rumors or news or announcements to bond market in Indonesia are also some topics or variables for future research.…”
Section: Resultsmentioning
confidence: 99%