Predicting bankruptcy based on the full population of Croatian companies
This paper analyses the bankruptcy prediction based on the population of companies representative of the total business sector in Croatia. The representativity of the sample is achieved through the propensity score matching of the full population of bankrupt and similar non-bankrupt companies. The r...
| Permalink: | http://skupni.nsk.hr/Record/nsk.NSK01001137721/Details |
|---|---|
| Matična publikacija: |
Ekonomski pregled (Online) 72 (2021), 5 ; str. 643-669 |
| Glavni autori: | Bogdan, Siniša (Author), Šikić, Luka, Bareša, Suzana |
| Vrsta građe: | e-članak |
| Jezik: | eng |
| Predmet: | |
| Online pristup: |
https://doi.org/10.32910/ep.72.5.1 Ekonomski pregled (Online) Hrčak |
| LEADER | 02893naa a22004094i 4500 | ||
|---|---|---|---|
| 001 | NSK01001137721 | ||
| 003 | HR-ZaNSK | ||
| 005 | 20220701143549.0 | ||
| 006 | m d | ||
| 007 | cr|||||||||||| | ||
| 008 | 220511s2021 ci d |o |0|| ||eng | ||
| 024 | 7 | |2 doi |a 10.32910/ep.72.5.1 | |
| 035 | |a (HR-ZaNSK)001137721 | ||
| 040 | |a HR-ZaNSK |b hrv |c HR-ZaNSK |e ppiak | ||
| 041 | 0 | |a eng |b hrv | |
| 042 | |a croatica | ||
| 044 | |a ci |c hr | ||
| 080 | 1 | |a 336 |2 2011 | |
| 100 | 1 | |a Bogdan, Siniša |4 aut | |
| 245 | 1 | 0 | |a Predicting bankruptcy based on the full population of Croatian companies |h [Elektronička građa] / |c Siniša Bogdan, Luka Šikić, Suzana Bareša. |
| 300 | |b Graf. prikazi. | ||
| 500 | |a Bilješke uz tekst. | ||
| 504 | |a Bibliografija: 65 jed. | ||
| 504 | |a Summary ; Sažetak. | ||
| 520 | |a This paper analyses the bankruptcy prediction based on the population of companies representative of the total business sector in Croatia. The representativity of the sample is achieved through the propensity score matching of the full population of bankrupt and similar non-bankrupt companies. The robust estimation of bankruptcy prediction is carried out through the multiple discriminant analysis (MDA) and logistic regression (logit). The results indicate high classification accuracy of both models, but more favourable performance of the logit estimation. Overall accuracy of the MDA model was 73.7%, while the overall accuracy of the logit model was 76.3%. The results serve as a bankruptcy estimation benchmark for the business sector in Croatia. | ||
| 520 | |a Ovaj rad analizira predviđanje bankrota na temelju pune populacije poduzeća koje predstavljaju ukupni poslovni sektor u Hrvatskoj. Reprezentativnost uzorka postigla se tehnikom uparivanja (propensity score matching) ukupne populacije bankrotiranih i sličnih poduzeća koje nisu u stečaju. Robusna procjena predviđanja bankrota provela se temeljem višestruke diskriminacijske analize (MDA) i logističke regresije (logit). Rezultati su ukazali na visoku točnost klasifikacije oba modela, s naglaskom na povoljniju procjenu uporabom logit metode. Ukupna točnost MDA modela bila je 73,7%, dok je ukupna točnost logit modela bila 76,3%. Rezultati služe kao referentna točka za procjenu bankrota za poslovni sektor u Hrvatskoj. | ||
| 653 | 0 | |a Poduzeća |a Stečaj |a Multipla diskriminantna analiza |a Logistička regresija |a Financijski pokazatelji | |
| 653 | 5 | |a Hrvatska | |
| 700 | 1 | |a Šikić, Luka |4 aut | |
| 700 | 1 | |a Bareša, Suzana |4 aut | |
| 773 | 0 | |t Ekonomski pregled (Online) |x 1848-9494 |g 72 (2021), 5 ; str. 643-669 |w nsk.(HR-ZaNSK)000534041 | |
| 981 | |b Be2021 |b B02/21 | ||
| 998 | |b dalo2207 | ||
| 856 | 4 | 0 | |u https://doi.org/10.32910/ep.72.5.1 |
| 856 | 4 | 0 | |u http://www.hde.hr/sadrzaj.aspx?Podrucje=1772 |y Ekonomski pregled (Online) |
| 856 | 4 | 1 | |y Digitalna.nsk.hr |
| 856 | 4 | 0 | |u https://hrcak.srce.hr/262981 |y Hrčak |