Choosing a Method for Predicting Economic Performance of Companies

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F12%3A86082485" target="_blank" >RIV/61989100:27350/12:86082485 - isvavai.cz</a>
Result on the web
<a href="http://hrcak.srce.hr/file/123401" target="_blank" >http://hrcak.srce.hr/file/123401</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Choosing a Method for Predicting Economic Performance of Companies
Original language description
This paper reports on the efforts to find method for predicting economic results of companies. The input data files consist of 93 profitable companies and 93 bankrupt firms. Each of them is characterized by eight indices. From the total number of 93 firms in both categories, data of 72 firms served for establishing a classification criterion, and for the rest of 21 firms, a prognosis of their economic development was performed. The classification criterion for prognosticating the future economic development of a firm has been established by applications of discriminate analysis, logit analysis and artificial neuron network methods. The application of artificial neural networks has provided for better classification accuracies of 90.48 successful firmsand 100% for bankrupt firms
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AH - Economics
OECD FORD branch
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Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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