바로가기메뉴

본문 바로가기 주메뉴 바로가기

logo

A Study on Financial Ratio and Prediction of Financial Distress in Financial Markets

A Study on Financial Ratio and Prediction of Financial Distress in Financial Markets

The Journal of Distribution Science(JDS) / The Journal of Distribution Science, (P)1738-3110; (E)2093-7717
2018, v.16 no.11, pp.21-27
https://doi.org/https://doi.org/10.15722/jds.16.11.201811.21
Lee, Bo-Hyung (department of foundation and business administration, Chodang University)
Lee, Sang-Ho (department of practical art, Songwon University)
  • 다운로드 수
  • 조회수

Abstract

Purpose - This study investigates the financial ratio of savings banks and the effect of the ratio having influence upon bankruptcy by quantitative empirical analysis of forecast model to give material of better management and objective evidence of management strategy and way of advancement and risk control. Research design, data, and methodology - The author added two growth indexes, three fluidity indexes, five profitability indexes, and four activity indexes CAMEL rating to not only the balance sheets but also the income statement of thirty savings banks that suspended business from 2011 to 2015 and collected fourteen financial ratio indexes. IBMSPSS VER. 21.0 was used. Results - Variables having influence upon bankruptcy forecast models included total asset increase ratio and operating income increase ratio of growth index and sales to account receivable ratio, and tangible equity ratio and liquidity ratio of liquidity ratio. The study selected total asset operating ratio, and earning and expenditure ratio from profitability index, and receivable turnover ratio of activity index. Conclusions - Financial supervising system should be improved and financial consumers should be protected to develop saving bank and to control risk, and information on financial companies should be strengthened.

keywords
Bankrupt Saving Bank, Discrimination and Analysis, Growth Index, Fluidity Index, Profitability Index

참고문헌

1.

Altman, E. I. (1968). Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance, 23(4), 589-609.

2.

Beaver, W. H. (1966). Financial Ratios as Predictors of Failure. Journal of Accounting Research, 5, 71-111.

3.

Deakin, E. B. (1972). A Discriminant Analysis of Predictors of Business Failure. Journal of Accounting Research, 16(Spring), 167-179.

4.

Jang, H. U. (1998). Bankruptcy forecast model of non-finance listed companies. Finance control research, 15(1), 299-327.

5.

Jang, Y. K., & Kim, Y. K. (2004). Analysis on appropriateness of management conditions of mutual saving bank, and bankruptcy forecast. Journal of the Society of Finance, 9(1), 1-39.

6.

Jeong, H. U. (1999). Empirical research on enterprise bankruptcy forecast. Finance management collection of treaties, 4(1), 123-149.

7.

Jeong, J. H., & Cho, H. K. (2008). A study on bankruptcy forecast of Saemaeul Bank. Industrial economy research, 21(5), 2015-2039.

8.

Jeong, J. M., & Oh, S. K. (2010). Financial institution bankruptcy reorganization system for stabilization of the finance. Finance stabilization research, 11(1), 149-179.

9.

Kang, J. M., & Hong, S. H. (1999). An analysis on appropriateness of bankruptcy forecast model. Securities Finance Research, 5(1), 83-110.

10.

Kassar, T. A. A., & Soileau, J. S. (2014). Financial Performance Evaluation and Bankruptcy Prediction(failure). Arab Economics and Business Journal, 9, 147-155.

11.

Kim, E. J. (2016). A Study on Public Ethics of Care: Care, Justice and Economics of Social Service. Journal of Distribution Science, 14(10), 39-45.

12.

Kim, S. J. (2017). Assessing Distress Prediction Model toward Jeju District Hotels. International Journal of Industrial Distribution & Business, 8(4), 47-52.

13.

Kim, T. G., Jeong, K. H., & Kim, D. H. (2003). Factor analysis and forecast of Gyeongbuk Nonghyeop bankruptcy. Agricultural economy research, 44(4), 23-38.

14.

Korobow, L., & Stuhr, D. P. (1975). Toward early warning of changes in banks' financial condition: A progress report. Federal Reserve Bank of New York Monthly Review, July.

15.

Laitinen, E. K., & Suvas, A. (2016). Financial Distress Prediction in an International Context: Moderating Effects of Hofstede’s Original Cultural Dimensions. Journal of Behavioral and Experimental Finance, 9, 98-118.

16.

Mohammadi, S., & Esmaeilioghaz, H. (2017). A Study of the Impact of Accounting Information Quality and Information Asymmetry on Underinvestment in Iran. International Journal of Industrial Distribution & Business, 8(1), 33-39.

17.

Nam, J. H. (1998). Forecast model analysis of bankruptcy of financial institutions. International economy research, 4(1), 33-57.

18.

Nam, J. H., & Jin, T. H. (1998). An analysis on bankruptcy forecast models of financial institutions. International Economy Research, 4(1), 33-57.

19.

Park, S. S., & Kim, B. J. (2002). A study on bankruptcy forecast of small businesses in Korea. Management Research, 15(1), 27-53.

20.

Shang, Y. F., & Kim, S. H. (2015) Analyzing Chinese Online P2P Financial Product Purchase Decisions Utilizing the Framing Effect. Journal of Distribution Science, 13(10), 51-56.

21.

Shirzad. A., Mohammadi, S., & Haghighi. R. (2015). Effect of Financial Performance on Earnings Management in the Drug Distribution Industry. International Journal of Industrial Distribution & Business, 6(4), 23-26.

22.

Stuhr, D. P., & Wicklen, R. V. (1974). Rating the financial condition of banks: A statistical approach to aid bank supervision. Federal Reserve Bank of New York Monthly Review, September, 233-238.

23.

Yang, K. J. (2011). A study on real estate project financing of Mutual Saving Bank. Corporate Law Research, 25(4), 299-328.

24.

Yi, H. T., Jung, Y. S., & Kim, M. S. (2015). Influence of Franchisors' Supporting Strategy on Franchisee Attitude and Performance: Moderating Effect of Competitive Intensity. Journal of Distribution Science, 13(4), 65-76.

25.

Zhao, Y. (2016). Research on the Environmental Issues in China’s Sustainable Economic Development. International Journal of Industrial Distribution & Business, 7(1), 15-17.

The Journal of Distribution Science(JDS)