A Study of Financial Early-Warning Models– Evidence from Electronic Industries in Taiwan
| Autor: | Su-Hui, Kuo, 郭素惠 |
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| Rok vydání: | 2019 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 107 This paper takes electronic industries in Taiwan as the research samples from 2008 to 2017. We select 67 the financially distressed firms and 67 the healthy firms. We use the financial ratios of one domestic bank as the independent variables, and then use logistic regression model and stepwise logistic regression model to forecast their accuracy of recognition rate. The empirical results show that there are 9 significant variables: equity ratio, property, plant and equipment/equity ratio, quick Ratio, debt /equity ratio, gross margin, operating profit margin, return on equity, sales growth rate, and equity growth rate. The highest overall accuracy rate is 90.3%. Furthermore, based on type I error that the bank emphasizes, we find that lowest type I errors are the logistic regression model and backward logistic regression model 1 to 6 (10.4%). |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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