ISSN:
0424-267X
eISSN:
1842-3264
Disciplines
(Field of Science):
- information and communication technology (Engineering and Technology)
- family studies (Family studies)
- economics and finance (Social studies)
- management and quality studies (Social studies)
- international relations (Social studies)
- computer and information sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 40 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 40 | Ministry scored journals list 2024 |
2023 | 40 | Ministry Scored Journals List |
2022 | 40 | Ministry Scored Journals List 2019-2022 |
2021 | 40 | Ministry Scored Journals List 2019-2022 |
2020 | 40 | Ministry Scored Journals List 2019-2022 |
2019 | 40 | Ministry Scored Journals List 2019-2022 |
2018 | 15 | A |
2017 | 15 | A |
2016 | 15 | A |
2015 | 15 | A |
2014 | 15 | A |
2013 | 15 | A |
2012 | 15 | A |
2011 | 15 | A |
Model:
Traditional
Points CiteScore:
Year | Points |
---|---|
Year 2023 | 1.8 |
Year | Points |
---|---|
2023 | 1.8 |
2022 | 1.6 |
2021 | 1.6 |
2020 | 1.6 |
2019 | 1.6 |
2018 | 1.4 |
2017 | 1.1 |
2016 | 1.1 |
2015 | 0.8 |
2014 | 1 |
2013 | 0.9 |
2012 | 1.1 |
2011 | 1.3 |
Impact Factor:
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Papers published in journal
Filters
total: 1
Catalog Journals
Year 2010
-
Predicting bankruptcy with the use of macroeconomic variables
PublicationRegarding the current global financial crisis, the firms can expect the increased uncertainty of their existence. The relevant literature includes extensive studies on bankruptcy prediction. Studies show that the most popular method used for prediction of firms' failures are discriminant analyses (30,3% of all models), then logit and probit models (21,3%), which all three are parametric models. The nature, the structure of the...
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