Pregled bibliografske jedinice broj: 828619
Firm failure modeling: Risk index models vs. Sophisticated techniques
Firm failure modeling: Risk index models vs. Sophisticated techniques // Proceedings of The 25th International Business Information Management Association Conference Amsterdam / Soliman, Khalid (ur.).
Amsterdam: International Business Information Management Association (IBIMA), 2015. str. 826-838 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 828619 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Firm failure modeling: Risk index models vs. Sophisticated techniques
Autori
Pervan, Ivica
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of The 25th International Business Information Management Association Conference Amsterdam
/ Soliman, Khalid - Amsterdam : International Business Information Management Association (IBIMA), 2015, 826-838
ISBN
978-0-9860419-4-5
Skup
Proceedings of The 25th International Business Information Management Association Conference Amsterdam
Mjesto i datum
Amsterdam, Nizozemska, 07.05.2015. - 08.05.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Risk index models; Firm failure
Sažetak
In business practice in order to evaluate clients’ risk of failure banks often use risk index models. These models represent techniques which are very easy for practical implementation but without mathematical/statistical sophistication. Academic research starting from Altman’s seminal paper often employ different highly sophisticated techniques such as discriminant analysis, logistic regression, rough sets, neural networks, fuzzy logic, etc. Therefore, it is very interesting to investigate whether modern sophisticated modeling techniques significantly outperform risk index models in firm failure prediction. For the purpose of this paper risk index was calculated by using five financial ratios (ROA, EBITDA Margin, Credit period, Current ratio and Solvency ratio) that were confirmed to be good discriminators by logistic regression model and artificial neural network. Empirical test conducted on the sample of 323 solvent and 323 insolvent manufacturing firms from Croatia has shown that risk index model performed pretty good in the segment of solvent firms. However, in the segment of insolvent firms risk index model has shown moderate result in comparison with logistic regression model and artificial neural network.
Izvorni jezik
Engleski
Znanstvena područja
Ekonomija
Napomena
Članak je indeksiran u Web of Science (WoS) bazi podataka
