This is an analysis of South Africa's (SA) sovereign credit rating (SCR) using Naïve Bayes, a
Machine learning (ML) technique. Quarterly data from 1999 to 2018 of macroeconomic …

This study is an empirical analysis of sovereign credit ratings (SCR) in South Africa (SA)
using Logistic Regression (LR) to identify their determinants and forecast SCRs. Data of …

International credit rating has become an important aspect of a country's credit reputation on
the market, which is influenced by various factors, including economic development …

This study examines the performance of fourteen (14) Machine Learning (ML) techniques in
comparison to the traditional statistical methodology, Logistic Regression (LR), for analysing …

This study is an empirical analysis of sovereign credit ratings (SCR) in South Africa (SA)
using Logistic Regression (LR) to identify their determinants and forecast SCRs. Data of …

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Attribution — You must give appropriate credit, provide Page 1 COPYRIGHT AND CITATION …

This paper investigates the dynamics of Western OECD syndicated bank lending to East
Asian borrowers during the 1997-1998 Asian Financial Crisis (AFC), focusing on the …

In a more integrated economic and financial world, sovereign credit ratings have become
one of the most important factors for countries that seek to access funds in the international …

Rating agencies assign sovereign credit ratings (SCR) based on quantitative and qualitative
criteria. The assessment of qualitative elements is not that straightforward, and it is mainly …

El objetivo de este artículo es analizar la evolución del mercado de trabajo doméstico en el
Perú para el periodo 1997–2013, tomando en cuenta las diferencias entre los sectores …