英文摘要 |
This paper primarily used accounting data system and statistical methods to construct a credit risk model in non-family controlled companies, discussed the agency problem in CEO utilizing professional management. The author calculated odds ratio that predicted in advance the probability of credit risk attacking non-family companies. The author picked out the significant variables as key indicators of corporate performance and making-decision, reducing financial risk losses and bank risk weighted assets. Empirical analysis, the author built up a credit risk model using K-S test and M-U test, Pearson test, binary and multiple logistic regression analysis models. Findings, The first, the key performance indicators were the solvency, the profitability and corporate governance. Secondly, the companies increasing the times interest earned and the EPS, reducing the retention ratio, could reduce the probability of credit risk attacking non-family companies. Third, establishing of independent directors and supervisors, and avoiding the switch of CPAs in order to elevate corporate governance capacity. Forth, credit risk model were applicable to general prediction model. Suggest that the companies financing decision-making and dividend policy is reducing the interest expenses or enhancing earning before in tax, bought back the storage stocks while increasing the solvency and profitability capacity. Implication of this study is that the CEO of non-family firms should value opinions from insider monitoring in establishment of independent directors and supervisors, and outsiders CPA audit in order to reduce credit risk and elevate corporate governance power, and a major part of the business of financial institutions must follow to minimize credit risk and make successful loans could reduce risky assets and enhance BIS ratio. |