The comparative analysis of the prediction effectiveness of selected discriminant analysis models
Wojciech Lichota ()
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Wojciech Lichota: University of Rzeszów, Poland
Zeszyty Naukowe Małopolskiej Wyższej Szkoły Ekonomicznej w Tarnowie / The Malopolska School of Economics in Tarnow Research Papers Collection, 2020, vol. 48, issue 4, 27-36
The main aim of the article was to verify the effectiveness of prediction of selected models of discriminant analysis on the example of a sample of 40 enterprises. The data of enterprises was obtained from the EMIS database and in the case of enterprises continuing their operations it concerned the year 2017, while in the case of bankrupt enterprises it was the data from the year before bankruptcy. The article presents models of discriminant analysis, which are classified as early warning systems about the risk of enterprise bankruptcy. The results allow to assess the financial situation of the company. Based on the results of a sample of forty companies, including ten for which an application for bankruptcy was filed, it was found that most of the discriminant models used in the article properly reflected the good or threatened financial condition of the company. The authors conclude that discriminatory models facilitate decision making but the models do not have 100% effectiveness.
Keywords: discriminant analysis; financial standing of companies; financial analysis (search for similar items in EconPapers)
JEL-codes: G17 G32 G33 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:znm:journl:v:48:y:2020:i:4:p:27-36
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