Original scientific paper
BUSINESS' FINANCIAL PROBLEMS PREDICTION - CROATIAN EXPERIENCE
Robert Zenzerović
Full text: english doc 234 Kb
page 1-16
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cite
APA 6th Edition
Zenzerović, R. (2009). BUSINESS' FINANCIAL PROBLEMS PREDICTION - CROATIAN EXPERIENCE. Economic research - Ekonomska istraživanja, 22 (4), 1-16. Retrieved from https://hrcak.srce.hr/48172
MLA 8th Edition
Zenzerović, Robert. "BUSINESS' FINANCIAL PROBLEMS PREDICTION - CROATIAN EXPERIENCE." Economic research - Ekonomska istraživanja, vol. 22, no. 4, 2009, pp. 1-16. https://hrcak.srce.hr/48172. Accessed 23 Dec. 2024.
Chicago 17th Edition
Zenzerović, Robert. "BUSINESS' FINANCIAL PROBLEMS PREDICTION - CROATIAN EXPERIENCE." Economic research - Ekonomska istraživanja 22, no. 4 (2009): 1-16. https://hrcak.srce.hr/48172
Harvard
Zenzerović, R. (2009). 'BUSINESS' FINANCIAL PROBLEMS PREDICTION - CROATIAN EXPERIENCE', Economic research - Ekonomska istraživanja, 22(4), pp. 1-16. Available at: https://hrcak.srce.hr/48172 (Accessed 23 December 2024)
Vancouver
Zenzerović R. BUSINESS' FINANCIAL PROBLEMS PREDICTION - CROATIAN EXPERIENCE. Economic research - Ekonomska istraživanja [Internet]. 2009 [cited 2024 December 23];22(4). Available from: https://hrcak.srce.hr/48172
IEEE
R. Zenzerović, "BUSINESS' FINANCIAL PROBLEMS PREDICTION - CROATIAN EXPERIENCE", Economic research - Ekonomska istraživanja, vol.22, no. 4, pp. 1-16, 2009. [Online]. Available: https://hrcak.srce.hr/48172. [Accessed: 23 December 2024]
Abstract
Actual development in economy, characterized with global crisis, emphasizes the importance of financial instability prediction. Financial instability in transitional countries is often predicted using the model derived using the data from companies operating in developed countries. Some researches have found that simple application of those models in different environment like transitional do not obtain the same result like when applied in developed country. Therefore, new GCE3 model was derived using the data from Croatian companies’ sample. New model, carried out by using the multiple discriminant analysis, include six independent variables that consist of solvency and liquidity ratios, as well as ratio Total revenues/total expenses. Analysis of model classification accuracy favours the possibilities of its practical usage in wide area of everyday business activities making it very useful financial instability prediction tool.
Keywords
Financial instability; financial instability prediction models; multiple discriminant analysis; Croatian experience
Hrčak ID:
48172
URI
https://hrcak.srce.hr/48172
Publication date:
10.12.2009.
Article data in other languages:
croatian
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