International Research journal of Management Science and Technology

  ISSN 2250 - 1959 (online) ISSN 2348 - 9367 (Print) New DOI : 10.32804/IRJMST

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PREDICTION OF INSOLVENCY-A STUDY OF SELECT COMPANIES IN INDIAN AVIATION INDUSTRY

    1 Author(s):  DR. SYED KHAJA SAFIUDDIN

Vol -  8, Issue- 10 ,         Page(s) : 304 - 309  (2017 ) DOI : https://doi.org/10.32804/IRJMST

Abstract

Financial Soundness whether it is in terms of liquidity, profitability, solvency or growth plays a significant role in any organization to meet current obligations and maintain a healthy profit earning ability from business operations. Poor financial position of the firms may lead to insolvency which has an impact not only on the stakeholders of the company but also on the economy of the country at large. There have been many developments in the field of financial management which helps to analyze the financial position of a company and in predicting the insolvency of a business concern. One such development is Altman Z-score model which is considered as an important tool for insolvency prediction.This paper is an attempt to analyze the possible insolvency of select Indian Airline Ccompanies. TwoAviation Companies in the Indian context have been selected and their Z-Score is measured. In this study detailed analysis for a period of 10 years from 2007 to 2016 is carried out. Based upon the calculated Z-score, findings and conclusion have been drawn.

1. Achim, M. V., Mare, C., & Borlea, S. N. (2012). A statistical model of financial risk bankruptcy applied for Romanian manufacturing industry. Procedia Economics and Finance, 3, 132-137.
2. Altman, Edward I. "Financial ratios, discriminant analysis and the prediction of corporate bankruptcy." The journal of finance 23.4 (1968): 589-609.
3. Beaver, William H. "Financial ratios as predictors of failure." Journal of accounting research (1966): 71-111.
4. Campbell, J. Y., Hilscher, J. and Szilagyi, J. (2008), “In Search of Distress Risk”, Journal of Finance, Vo. 63, No. 6.
5. Gedminaite, I. (2017). ASSESSMENT OF LIKELIHOOD OF BANKRUPTCY OF LITHUANIAN CONSTRUCTION COMPANIES.Works of Young Scientists
6. Karels, Gordon V., and Arun J. Prakash. "Multivariate normality and forecasting of business bankruptcy." Journal of Business Finance & Accounting 14.4 (1987): 573-593.
7. Kumari, Ummed, and Omvir Chaudhry. "Distress Prediction Model-Model for predicting Bankruptcy in Aviation Industry." ISSN: 2278-9359
8. Marcinkevicius, R., & Kanapickiene, R. (2014). Bankruptcy prediction in the sector of construction in Lithuania. Procedia-Social and Behavioral Sciences, 156, 553-557.
9. Pradhan, R. (2014). Z Score Estimation for Indian Banking Sector. International Journal of Trade, Economics and Finance, 5(6), 516-520. doi:10.7763/ijtef.2014.v5.425
10. Sheela, S. C., & Karthikeyan, K. (2012). Evaluating financial health of pharmaceutical industry in India through zscore model. International Journal of Social Sciences & Interdisciplinary Research.
11. Sun, J. and X.F. Hui, 2006. Financial Distress Prediction Based on Similarity Weighted Voting CBR.

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