지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
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This study was conducted to evaluate the predictive power of two distress prediction models. Using logit and multiple discriminant analyses, the financial ratio of 33 first-class domestic hotels was calculated and compared. The univariate test result revealed that the variables that distinguished top-level corporate structures to failing corporate structures were current ratio, total borrowings and bonds payable to total assets, financial expenses to operating income, net income to sales, net income to total assets, and operating cash flow ratio. The statistical significance of the six financial ratio variables was also confirmed by the discriminant analysis and the logit analysis. The distress prediction power was 93.9% in the discriminant analysis, and 87.9% in the logit analysis.
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