재무비율을 이용한 부도예측에 대한 연구 = 한국의 외부감사대상기업을 대상으로

다국어 초록 (Multilingual Abstract)

After the 1997 Asian financial crisis South Korea experienced a serious financial hardship. Immediate economic effects of this crisis were felt in all areas of the Korean business world, and many companies were filed for bankruptcy. The main purpose of this study is to develop a bankruptcy prediction model and to examine the power and accuracy ratio of the model using the data of Korean companies. We use all manufacturing companies audited by external auditors as sample firms during the period from 2003 to 2007 and use the transaction information of the current bank account from the KFTCI(Korea Financial Telecommunications &Clearings Institute) to identify the right time for bankruptcy. Multi-variate Logistic Regression was used to form a prediction model with 117 financial ratios. The major findings of this study are as follows. First, we obtained 17 financial ratios from the stepwise selection method of logistic model and used these ratios in our bankruptcy prediction model based on multi-variate analysis as key input variables. The estimation results show that the concordant ratio which represents the discriminant power of the model is 82%. Second, The predictive power of the bankruptcy prediction model, AUROC is 85% and Kolmogorov-Smirnov statistics is 55.04%. These results mean that the model developed in this study can be used as the bankruptcy prediction model for externalaudit- companies in the Korean markets.

참고문헌 (Reference)

1 이계원, "회계정보에 의한 기업부실예측과 시장반응" (16) : 49-77, 1993

2 박정윤, "재무정책과 기업부실예측" 6 : 93-116, 2000

3 금융감독원 신BIS실, "위험가중자산에 대한 자기자본비율 산출기준"

4 임종건, "신용평가시스템에 대한 적합성 검증 방법론 소개" 금융감독원 2005

5 금융감독위원회, "신용리스크 내부등급법 기본 세부지침(안)" 2004

6 금융감독위원회, "신용리스크 내부등급법 기본 세부지침(안)" 2005

7 장휘용, "비금융 상장기업의 부실예측모형" 15 (15): 299-327, 1998

8 강종만, "부실예측모형의 적합성 분석" 5 (5): 83-110, 1999

9 안성만, "기업의 부도 예측에 관한 실증연구 : 재무비율을 중심으로" 서울시립대학교 2009

10 송인만, "기업부실예측모델의 재정립을 통한 기업부실원인과의 연계에 대한 실증적 연구" 15 : 113-146, 1987

11 이건창, "기업도산예측을 위한 통계적 모형과 인공지능모형간의예측력비교에관한연구 : MDA, 귀납적 학습방법, 인공신경망" 18 (18): 57-81, 1993

12 전춘옥, "기업도산론" 무역경영사 1984

13 정완호, "기업 신용도 측정모형의 적합도 비교 연구" 한국금융학회 11 (11): 67-104, 2006

14 "금융결제원 당좌거래정보"

15 Altman, E. I., "ZETA Analysis : A New Model to Identify Bankruptcy Risk of Corporations" 29-54, 1977

16 Zmijewski, M. E., "Methodological Issues Related to the Estimation of Finanicial Distress Prediction Models" 22 : 59-82, 1984

17 Altman, E. I., "Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy" 23 : 589-609, 1968

18 Beaver, W., "Financial Ratios as Predictors of Failure" 71-111, 1966

19 Ohlson, J. A., "Financial Ratios The Probabilistic of Bankruptcy" 109-131, 1980

20 Altman, E. I., "Corporate Financial Distress:A Complete Guide to predicting, Avoiding and Dealing with Bankruptcy" John Wiley & Sons 120-124, 1983

21 Stein, R. M., "Benchmarking Default Prediction Models" Moody’s KMV 2002

22 Altman, E. I., "Bank Credit Risk Management" Korea Institute of Finance 381-410, 1996

23 Zavgren, C. V., "Assessing the Vulnerability to Failure of American Industrial Firm : A Logistic Analysis" 12 (12): 19-45, 1985