Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/183737
Authors: 
Boda, Daniel
Luptak, Martin
Pitlik, Laszlo
Szucs, Gabor
Takacs, Istvan
Year of Publication: 
2016
Citation: 
[Title:] Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Rovinj, Croatia, 8-9 September 2016 [Publisher:] IRENET - Society for Advancing Innovation and Research in Economy [Place:] Zagreb [Year:] 2016 [Pages:] 352-359
Abstract: 
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.
Subjects: 
bankruptcy
market
forecasting
JEL: 
G17
G31
G33
Document Type: 
Conference Paper
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