DOI QR코드

DOI QR Code

A Study on the Usefulness of EVA as Hospital Bankruptcy Prediction Index

병원도산 예측지표로서 EVA의 유용성

  • 양동현 (인제대 보건대학원 병원경영학과)
  • Published : 2002.09.01

Abstract

This study investigated how much EVA which evaluate firm's value can explain hospital bankruptcy prediction as a explanatory variable including financial indicators in Korea. In this study, artificial neural network and logit regression which are traditional statistical were used as the model for bankruptcy prediction. Data used in this study were financial and economic value added indicators of 34 bankrupt and -:4 non-bankrupt hospitals from the Database of Korean Health Industry Development Institute. The main results of this study were as follows: First, there was a significant difference between the financial variable model including EVA and the financial variable model excluding EVA in pre-bankruptcy analysis. Second, EVA could forecast bankruptcy hospitals up to 83% by the logistic analysis. Third, the EVA model outperformed the financial model in terms of the predictive power of hospital bankruptcy. Fourth, The predictive power of neural network model of hospital bankruptcy was more powerful than the legit model. After all the result of this study will be useful to future study on EVA to evaluate bankruptcy hospitals forecast.

Keywords

References

  1. 강현철 외. SAS Enterprise Miner 4.0을 이용한 데이터마이닝. 자유아카데미. 2001.
  2. 김대수. 신경망 이론과 응용 II, 하이테크정보. 1992.
  3. 김철중. 경영성과지표로서 경제적 부가가치의 유용성에 관한 연구. 재무관리논총. 1995; 2(1): 36-40.
  4. 김응한 외. 상장기업의 EVA분석 연구결과 보고서. 한국증권거래소. 1998.
  5. 류현. EVA개념을 활용한 부실징후 조기경보시스템. 주간경제 480호. 1998.
  6. 오현탁, 이치송. EVA의 기업부실예측능력에 관한 연구 한국산업경제연구, 2001.26-35.
  7. 양동우. EVA와 제 기업 평가지표의 비교연구-한국제조기업을 중심으로. 증권금융연구. 1998; 2(3): 16-29.
  8. 이무식, 서영준, 양동현. 병원도산 예측모형의 실증적 비교연구. 보건행정학회지. 1999; 9(2): 1-20.
  9. 이건창. 기업도산을 위한 통계적 모형과 인공지능모형간의 예측력 비교에 관한 연구: MDA, 귀납적 학습방법, 인공신경망. 한국경영과학회지. 1993;18(2): 57-81.
  10. 신경식, 한인구. 다수의 인공신경망을 통합한 기업부도 예측모형에 관한 연구. 한국경영과학회지. 1998; 145-148.
  11. 정기택, 이훈영. 병원도산의 예측모형 개발연구. 보건행정학회지. 2001; 10(2):1-21.
  12. 정지영. 경제적 부가가치를 이용한 기업도산예측에 관한 연구. 서강대학교 대학원 경영학석사 학위논문. 1999.
  13. 조흥규. 판별분석, 유사추론, 신경회로망을 이용한 도산 예측, 한국과학기술원석사학위논문. 1994.
  14. 한인구. 귀납적 학습방법과 통계학적 방법의 예측력에 관한 비교연구. 회계학연구. 1992;(11): 215-236.
  15. 한국신용평가(주). 부실예측에 관한 계량적 기업신용분석.1995. 6월.
  16. 남명수, 강효석. 투자성과지표로서 EVA의 유용성에 관한 연구. 재무관리연구. 1997;125-132.
  17. Altman E.R. Financial Ratios, Discriminant Analysis and Prediction of Corporate Bankruptcy. Journal of Finance. Sept 1968; 589-609.
  18. Beaver W. Financial Ratios as Predictors of Failure. Journal of Accounting Research. Supplement 1966; 71-111.
  19. Berry R., Treigueiros D. The Application of Neural Network Based Methods to the Extraction of Knowledge from Accounting Reports. IEEE International Joint Conference on Neural Networks. 1991; 136-146.
  20. Blume M. Failing Company Discriminant Analysis. Journal of Accounting Research. 1974; 1-25.
  21. Collins R. A.Green R. D. Statistical Methods for Bankruptcy Forecasting. Journal of Economics and Business. 1972;349-354.
  22. Freeman, J. A. Skapura D. M. Neural Network Algorithm Applications and Programming Techniques. Addison-Wesley Publishing Company. 1991.
  23. Gapenski L. C. Using MVA and EVA to measure financial performance. Healthcare Financial Management. Mar. 1996;56-60.
  24. Karels G. V, Prakash A. Multivariate Normality and Forecasting of Business Bankruptcy. Journal of Business Finance & Accounting.1987; 573-593.
  25. Liang T. P, Chandler J.S,Ingoo, Roan J. An Empirical Investigation of Some Data Effects on the Classification Accuracy of Probit, ID3 and Neural Networks. Working Paper. University of Illinois at Urbana -Champagne.1991.
  26. Milunnivich S, tsuei.EVA in Computer Industry, Journal of Applied Corporate Finance. Spring 1966; 104-115.
  27. Merton R. On the Pricing of Corporate Debt: The Risk Structure of Interest Rates. Journal of Finance. 1974; 29: 19-23.
  28. Moyer R. C. Forecasting Financial Failure. Financial Management. 1977; 11-17.
  29. Odom M. Sharda R. A Neural Network Model for Bankruptcy Prediction . Proceeding of the IEEE International Conference on Neural Network.1990; 163-168.
  30. Ohlson J. S. Financial Ratios and Probabilistic Prediction of Bankruptcy. Journal of Accounting Research. Spring 1980;109-131.
  31. Stephen F. O'Byrne, EVA and Market Value. Journal of Applied Corporate Finance. Spring 1996; 116-125.
  32. Scott J. The Probabilistic Prediction of Bankruptcy: A Comparison of Empirical Predictions and Theorical Model. Journal of Banking and Finance. Sept 1981;317-344.
  33. Salchenberger L. Clnar, E. and Lash, N. Neural network: A new too for predicting thrift failure. Decision Sciences. 1992;23: 899-9161. https://doi.org/10.1111/j.1540-5915.1992.tb00425.x
  34. Zmijewski M E. Methodological Issues Related to the Estimation of Financial Distress Prediction Models. Journal of Accounting Research. 1984; 59-82.