EconPapers    
Economics at your fingertips  
 

Bankruptcy prediction of small- and medium-sized enterprises in Poland based on the LDA and SVM methods

Ptak-Chmielewska Aneta ()
Additional contact information
Ptak-Chmielewska Aneta: Warsaw School of Economics, Warsaw, ; Poland

Statistics in Transition New Series, 2021, vol. 22, issue 1, 179-195

Abstract: The impact the last financial crisis had on the small- and medium-sized enterprises (SMEs) sector varied across countries, affecting them on different levels and to a different extent. The economic situation in Poland during and after the financial crisis was quite stable compared to other EU member states. SMEs represent one of the most important segments of the economy of every country. Therefore, it is crucial to develop a prediction model which easily adapts to the characteristics of SMEs.

Keywords: discriminant analysis; support vector machines; bankruptcy prediction; SMEs. (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.21307/stattrans-2021-010 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:stintr:v:22:y:2021:i:1:p:179-195:n:12

DOI: 10.21307/stattrans-2021-010

Access Statistics for this article

Statistics in Transition New Series is currently edited by Włodzimierz Okrasa

More articles in Statistics in Transition New Series from Statistics Poland
Bibliographic data for series maintained by Peter Golla ().

 
Page updated 2025-03-20
Handle: RePEc:vrs:stintr:v:22:y:2021:i:1:p:179-195:n:12