Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/C538AA05-214B-4415-A494-823AD2A4123F | ||
| Year | 2019 | ||
| Type of Item | Master Thesis | ||
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| Bibliographic Citation | Marianna Eskantar, "A comparative evaluation of analytical prediction methodologies for business failure ", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Chania, Greece, 2019 https://doi.org/10.26233/heallink.tuc.84455 | ||
| Appears in Collections |
The risk of bankruptcy is a phenomenon inextricably linked with the nature of the economic system of our time. The causes that can lead an organization to bankruptcy may be of micro or macro-economic nature.A large number of researchers have been involved in the field of risk of business bankruptcy prediction in the last decades. However, the search for better tools is still evolving, using new methodologies from various disciplines of administrative and computer science.This postgraduate dissertation explores the development of statistical and artificial intelligence methodologies, which take into account financial and macroeconomic data and provide estimates of the likelihood of bankruptcy of small and medium-sized enterprises in Europe.It aims to identify the highest performing methodology and variable for business bankruptcy prediction.
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