Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1134327

Investigating the determinants of EU-28 sovereign credit ratings using stepwise least squares regression


Žmuk, Berislav; Jošić, Hrvoje
Investigating the determinants of EU-28 sovereign credit ratings using stepwise least squares regression // Proceedings of FEB Zagreb 12th International Odyssey Conference on Economics and Business / Načinović Braje, Ivana ; Jaković, Božidar ; Ferjanić Hodak, Danijela (ur.).
Zagreb: Ekonomski fakultet Sveučilišta u Zagrebu, 2021. str. 489-500 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 1134327 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Investigating the determinants of EU-28 sovereign credit ratings using stepwise least squares regression

Autori
Žmuk, Berislav ; Jošić, Hrvoje

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of FEB Zagreb 12th International Odyssey Conference on Economics and Business / Načinović Braje, Ivana ; Jaković, Božidar ; Ferjanić Hodak, Danijela - Zagreb : Ekonomski fakultet Sveučilišta u Zagrebu, 2021, 489-500

Skup
12th FEB Zagreb International Odyssey Conference on Economics and Business

Mjesto i datum
Šibenik, Hrvatska; online, 09.06.2021. - 12.06.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
sovereign credit ratings ; EU-28 ; big data ; stepwise least squares regression

Sažetak
Sovereign credit ratings are a measure of a country’s willingness to repay its obligations in time and can be rated by evaluating the factors that determines it. There is a rich body of literature on economic and financial determinants of sovereign credit ratings starting with the seminal work of Cantor and Packer (1996). Goal of this paper is to investigate the determinants of EU-28 sovereign credit ratings by implementing a stepwise least squares regression, an approach usually used for estimation of big data. Sovereign credit ratings of the EU-28 countries have been classified according to three largest rating agencies in the world (S&P, Moody's and Fitch). Results of the analysis have shown that the main determinants of the EU-28 sovereign credit ratings are the selected variables: Corruption Perceptions Index (CPI), current account balance (CAB), GDP, government deficit or surplus (GDS), gross fixed capital formation (GFCF), inflation (INF), political stability and absence of violence/terrorism (PIS), total international reserves expresses in months of imports (TRES) and unemployment (UNEM). The signs of the statistically significant explanatory variables are in the line with the economic theory, confirming the results of previous research in this field.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija



POVEZANOST RADA


Ustanove:
Ekonomski fakultet, Zagreb

Profili:

Avatar Url Berislav Žmuk (autor)

Avatar Url Hrvoje Jošić (autor)

Citiraj ovu publikaciju:

Žmuk, Berislav; Jošić, Hrvoje
Investigating the determinants of EU-28 sovereign credit ratings using stepwise least squares regression // Proceedings of FEB Zagreb 12th International Odyssey Conference on Economics and Business / Načinović Braje, Ivana ; Jaković, Božidar ; Ferjanić Hodak, Danijela (ur.).
Zagreb: Ekonomski fakultet Sveučilišta u Zagrebu, 2021. str. 489-500 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Žmuk, B. & Jošić, H. (2021) Investigating the determinants of EU-28 sovereign credit ratings using stepwise least squares regression. U: Načinović Braje, I., Jaković, B. & Ferjanić Hodak, D. (ur.)Proceedings of FEB Zagreb 12th International Odyssey Conference on Economics and Business.
@article{article, author = {\v{Z}muk, Berislav and Jo\v{s}i\'{c}, Hrvoje}, year = {2021}, pages = {489-500}, keywords = {sovereign credit ratings, EU-28, big data, stepwise least squares regression}, title = {Investigating the determinants of EU-28 sovereign credit ratings using stepwise least squares regression}, keyword = {sovereign credit ratings, EU-28, big data, stepwise least squares regression}, publisher = {Ekonomski fakultet Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {\v{S}ibenik, Hrvatska; online} }
@article{article, author = {\v{Z}muk, Berislav and Jo\v{s}i\'{c}, Hrvoje}, year = {2021}, pages = {489-500}, keywords = {sovereign credit ratings, EU-28, big data, stepwise least squares regression}, title = {Investigating the determinants of EU-28 sovereign credit ratings using stepwise least squares regression}, keyword = {sovereign credit ratings, EU-28, big data, stepwise least squares regression}, publisher = {Ekonomski fakultet Sveu\v{c}ili\v{s}ta u Zagrebu}, publisherplace = {\v{S}ibenik, Hrvatska; online} }




Contrast
Increase Font
Decrease Font
Dyslexic Font