A logistic regression analysis for predicting bankruptcy in the hospitality industry

Journal of Hospitality Financial Management

Volumn 14, Issue 1, 2006, Pages 17-34

  Kim, Hyunjoon ^a   Gu, Zheng ^b  

^a Dong A University   (South Korea)

^b UNIVERSITY OF NEVADA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85010842387     PISSN: 10913211     EISSN: None     Source Type: Journal    
DOI: 10.1080/10913211.2006.10653812     Document Type: Article

References (38)

1. Altman, E. I. (1968). Financial ratios, discriminant analyses and the prediction of corpo¬rate bankruptcy. Journal of Finance, 23 (4), 589-609.
2. Aziz, A., Emanuel, D. C., & Lawson, G. H. (1988). Bankruptcy prediction: An investiga¬tion of cash flow based models. Journal of Management Studies, 25 (5), 419-437.
3. Beaver, W. H. (1966). Financial ratios as predictors of failure. Journal of Accounting Research (Supplement), 4, 71-102.
4. Blum, M. (1974). Failing company discriminant analysis. Journal of Accounting Research, 12 (10), 1-25.
5. Charalambous, C., Charitou, A., & Kaourou, F. (2000). Comparative analysis of artificial neural network models: Application in bankruptcy prediction. Annals of Operations Research, 99 (1), 403-419.
6. Cho, Min-FIo (1994). Predicting business failure in the hospitality industry: An applica¬tion of logit model. Doctoral dissertation, Virginia Polytechnic Institute and State University.
7. Collens, R. A., & Green, R. D. (1982). Statistical methods for bankruptcy forecasting. Journal of Economics and Business, 34 (4), 349-354.
8. Dambolena, I. G., & Khoury, S. J. (1980). Ratio stability and corporate failure. Journal of Finance, 35 (4), 1017-1026.
9. Darayseh, M., Waples, E., & Tsoukalas, D. (2003). Corporate failure for manufacturing industries using firms specifics and economic environment with logit analysis. Managerial Finance, 29 (8), 23-37.
10. Deakin, E. B. (1972). A discriminant analysis of predictors of business failure. Journal of Accounting Research, 10 (2), 167-179.
11. Dimitras, A.I., Zanakis, S. H., & Zopounidis, C. (1996). A survey of business failure with an emphasis on prediction methods and industrial application. European Journal of Operational Research, 90 (3), 487-513.
12. Fletcher, D., & Goss, E. (1993). Forecasting with neural networks: An application using bankruptcy data. Information and Management, 24 (3), 159-167.
13. Gentry, J. A., Newbold, P., & Whitford, D. T. (1985). Classifying bankrupt firms with funds flow components. Journal of Accounting Research, 23 (1), 146-160.
14. Gitman, L. J., & Madura, J. (2001). Introduction to finance. Boston: Addison Wesley Longman.
15. Gu, Z. (2001). Economies of scale in the gaming industry: An analysis of casino operations on the Las Vegas strip and in Atlantic City. Journal of Hospitality Financial Management, 9 (1), 1-15.
16. Gu, Z. (2002). Analyzing bankruptcy in the restaurant industry: A multiple discriminant model. International Journal of Hospitality Management, 21 (1), 25-42.
17. Gu, Z., & Gao, L. (2000). A multivariate model for predicting business failures of hospitality firms. Tourism and Hospitality Research: The Survey Quarterly Review, 2 (1), 37-49.
18. Hamer, M. (1983). Failure prediction: Sensitivity of classification accuracy to alternative statistical methods and variable sets. Journal of Accounting and Public Policy, 2 (4), 287-307.
19. Keown, A. J., Martin, J. D., Petty, J. W. & Scott, D. F. (2006). Foundations of finance: The logic and practice of financial management (5th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
20. Kwansa, A. F. & Cho, M. (1995). Bankruptcy cost and capital structure: the significance of indirect cost. International Journal of Hospitality Management, 14, 293-310.
21. Kwansa, F. A. & Parsa, H. G. (1991). Business failure analysis: An events approach. Hospitality Research Journal (Proceedings of the 1991 Annual Conference of the Council on Hotel, Restaurant, and Institutional Education), 23-34.
22. Lennox, C. (1999). Identifying failing companies: A re-evaluation of the logit, probit, and DA approaches. Journal of Economics and Business, 51 (4), 347-364.
23. Liao, T. F. (1994). Interpreting probability models: Logit, probit, and other generalized linear models. Thousand Oaks, CA: SAGE Publications, Inc.
24. Lo, A. W. (1986). Logit versus discriminant analysis: A specification test and application to corporate bankruptcies. Journal of Econometrics, 31 (2), 151-178.
25. Logue, L., & Merville, J. (1972). Financial policy and market expectations. Financial Management, 1 (3), 37-44.
26. Mensah, Y. M. (1984). An examination of the stationarity of multivariate bankruptcy prediction models: A methodological study. Journal of Accounting Research, 22 (1), 380-395.
27. Miller, G. J., & Mandelbaum, R. (February, 2005). Labor cost woes. Lodging, 15-17.
28. Moyer, R. C., & Chatfield, R. (1983). Market power and systematic risk. Journal of Economics and Business, 35 (1), 123-130.
29. Ohlson, J. A. (1980). Financial ratios and the probabilistic prediction of bankruptcy. Journal of Accounting Research, 18 (1), 109-131.
30. Olsen, M., Bellas, C., & Kish, L. V. (1983). Improving the prediction of restaurant failure through ratio analysis. International Journal of Hospitality Management, 2,187-193.
31. Press, J., & Wilson, S. (1978). Choosing between logistic regression and discriminant analysis. Journal of the American Statistical Association, 73 (364), 699-705.
32. Rushmore, S. (1998). Get ready for another round of overbuilding. Lodging Hospitality, 54 (2), 10.
33. Scherrer, P. S., & Mathison, T. J. (1996). Investment strategies for REIT inventories. Real Estate Review, 26 (1), 5-10.
34. Schmidgall, R. (2002). Hospitality industry managerial accounting (5th ed). Lansing, MI: The Educational Institute of the American Hotel & Lodging Association.
35. SPSS, Inc. (2003). SPSS regression models 12. Englewood Cliffs, NJ: Prentice Hall.
36. Theodossiou, P. (1991). Alternative models for assessing the financial condition of business in Greece. Journal of Business and Accounting, 18 (5), 697-720.
37. Zavgren, C. V. (1985). Assessing the vulnerability to failure of American industrial firms. Journal of Business and Accounting, 12 (1), 19-45.
38. Zhang, G., Hu, M. Y., Patuwo, B. E., & Indro, D. C. (1999). Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis. European Journal of Operational Research, 116 (1), 16-33.