This study is based on the data of the companies traded on the BIST (Borsa Istanbul Stock Exchange) stock exchange with the panel probit method to obtain the risk of empirical non-payment risk with scores models. Non-Payment risk of companies will be used and compared with the Z-Score and O-Score models. In this study, the financial ratios were formed using BIST-100 data between the years January 2013 and December 2017. In the calculation of the ratios, some ratios were excluded from the analysis due to lack of data and explanation problem. The fact that the ratios do not grow is assumed to reduce the risk of non-repayment, thus causing some firms to generate a large positive number in the ratio of negative net profit and very small negative equity in their ratios and this leads to misinterpretation of the probability of non-payment. Therefore, some ratios have not been included in the analysis to eliminate this problem.
机构:
Zhejiang Univ Finance & Econ, Hangzhou, Peoples R China
Nanjing Vocat Univ Ind Technol, Nanjing, Peoples R ChinaZhejiang Univ Finance & Econ, Hangzhou, Peoples R China
Zhang, Chengyuan
Li, Mingliang
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Zhejiang Univ Finance & Econ, Hangzhou, Peoples R ChinaZhejiang Univ Finance & Econ, Hangzhou, Peoples R China
Li, Mingliang
Li, Yongqiang
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Zhejiang Univ Finance & Econ, Hangzhou, Peoples R ChinaZhejiang Univ Finance & Econ, Hangzhou, Peoples R China
机构:
Natl Chi Nan Univ, Dept Int Business Studies, 1 Univ Rd, Nantou 545, TaiwanNatl Chi Nan Univ, Dept Int Business Studies, 1 Univ Rd, Nantou 545, Taiwan
Kang, Chien-Min
Lin, Sin-Jin
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Chinese Culture Univ, Dept Accounting, 55 Hwa Kang Rd, Taipei 11114, TaiwanNatl Chi Nan Univ, Dept Int Business Studies, 1 Univ Rd, Nantou 545, Taiwan
Lin, Sin-Jin
Lin, Lin
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Natl Chi Nan Univ, Dept Banking & Finance, 1 Univ Rd, Nantou 545, TaiwanNatl Chi Nan Univ, Dept Int Business Studies, 1 Univ Rd, Nantou 545, Taiwan