Modelling sovereign credit ratings : the accuracy of models in a heterogeneous sample
Year of publication: |
April 2016
|
---|---|
Authors: | Ozturk, Huseyin ; Namli, Ersin ; Erdal, Halil İbrahim |
Published in: |
Economic modelling. - Amsterdam [u.a.] : Elsevier, ISSN 0264-9993, ZDB-ID 86824-3. - Vol. 54.2016, p. 469-478
|
Subject: | Sovereign credit ratings | Artificial intelligence | Ordered probit | Credit rating agencies | Kreditwürdigkeit | Credit rating | Länderrisiko | Country risk | Ratingagentur | Rating agency | Künstliche Intelligenz | Welt | World |
-
Galnares, Carlos, (2023)
-
To what extent do sovereign rating actions affect global equity market sectors?
Sahibzada, Irfan Ullah, (2023)
-
Do, Hung Xuan, (2014)
- More ...
-
Reducing overreliance on sovereign credit ratings : which model serves better?
Ozturk, Huseyin, (2016)
-
Enhanced predictive models for construction costs : a case study of Turkish mass housing sector
Ugur, Latif Onur, (2019)
-
Türkiye’de banka başarısızlıklarının tahmini üzerine bir uygulama
EKİNCİ, Aykut, (2011)
- More ...