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- Title
Karar Ağacı Algoritmalarıyla Finansal Başarısızlık Tahmini: Dokuma, Giyim Eşyası ve Deri Sektörü Uygulaması.
- Authors
ÇÖLLÜ, Duygu ARSLANTÜRK; AKGÜN, Leyla; EYDURAN, Ecevit
- Abstract
This study was conducted to investigate financial failures of textile, wearing apparel and leather sector firms listed on the Borsa İstanbul (BIST) during the 2016-2018 period using data mining algorithms i.e. CART, CHAID, Exhaustive CHAID and QUEST. In this context, determining the financial ratios affecting financial failures and comparing the classification performance of the algorithms used is the main purpose of the study. With in this frame work, three years’ financial performance of 20 firms in the sector were evaluated using Altman-Z score and financially successful and unsuccessful firms were detected. Then classification performances of CART, CHAID, Exhaustive CHAID and QUEST were evaluated based on various financial ratios about correctly classifying firms in the financial failures, and it was tried to as certain the most influential factors affecting the financial failures. As a result of the statistical evaluations, it was determined that CART was the best algorithm due to general accuracy classification ratio (95%) and the correct classification of financially unsuccessful firms (97.6%). It was concluded that financial performance was influenced by return on equity, followed by current ratio, fixed assets/equity ratio, trade receivables/assets ratio, stock turnover and interest coverage ratio.
- Subjects
FINANCIAL ratios; RATE of return; FINANCIAL performance; CLASSIFICATION algorithms; CAPITAL; CARRIAGES &; carts
- Publication
Uluslararasi Ekonomi ve Yenilik Dergisi, 2020, Vol 6, Issue 2, p225
- ISSN
2149-6838
- Publication type
Article