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ENTRENOVA - ENTerprise REsearch InNOVAtion, Vol. 2 No. 1, 2016.

Ostalo

Prediction of Insolvency of Hungarian Micro Enterprises

Daniel Boda ; Szent Istvan University, Hungary
Martin Luptak ; Bureau van Dijk, Slovakia
László Pitlik ; Szent Istvan University, Hungary
Gabor Szucs ; Szent Istvan University, Hungary
Istvan Takacs ; Karoly Robert University College, Hungary

Puni tekst: engleski PDF 256 Kb

str. 155-162

preuzimanja: 261

citiraj

Sažetak

The aim of the study is to establish insolvency forecast model with the usage of different statistical methods and compare their efficiency. Besides this the relation and direction between indebtedness and financial distress is also part of the examination. With different approaches we nearly reached the same efficiency, the main focus was on the independent testing sample where we did not apply any modification on the dataset supposing realistic circumstances for predicting the probability of default. The research is focusing on small companies, since their number in the economy is considered high, but for this segment such insolvency forecasts are very rare.



This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Ključne riječi

Hrčak ID:

251177

URI

https://hrcak.srce.hr/251177

Datum izdavanja:

31.10.2016.

Posjeta: 587 *