Comparison of Financial Distress Prediction Models Evidence From Turkey
Yazarlar (3)
Serkan Terzi
Çankırı Karatekin Üniversitesi, Türkiye
Çankırı Karatekin Üniversitesi, Türkiye
Prof. Dr. İlker Kıymetli ŞEN İstanbul Ticaret Üniversitesi, Türkiye
Derya Üçoğlu Türkiye
| Makale Türü |
Özgün Makale
(SCOPUS dergilerinde yayınlanan tam makale)
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| Dergi Adı | EUROPEAN JOURNAL OF SOCIAL SCIENCES | ||
| Dergi ISSN | 1450-2267 Dergi Bilgileri (2012) | ||
| Dergi Tarandığı Indeksler | Scopus | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2012 |
| Cilt / Sayı / Sayfa | 32 / 4 / 607–618 | DOI | – |
| Makale Linki | http://www.europeanjournalofsocialsciences.com/issues/EJSS_32_4.html | ||
| UAK Araştırma Alanları |
Sosyal, Beşeri ve İdari Bilimler
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| Özet |
| The purpose of this paper is to explore the differences and similarities between financial distress prediction (FDP) models and to determine which explanatory variables and methodologies are the most effective in prediction of financial distress. For this purpose, 167 manufacturing companies (full sample) listed in Istanbul Stock Exchange (ISE) were used. In total, 27 financial ratios were identified from previous literature studies as potentially significant and they were calculated for the years 2009 and 2010. In the study, logistic regression, artificial neural networks and decision tree methods, which are frequently used in the literature, have been employed. As a result, many of the financial ratios are found to be effective in predicting financial distress. Moreover, logistic regression and artificial neural network methods have indicated better prediction accuracy results of financial distress for classification of companies. |
| Anahtar Kelimeler |
