International Research Journal of Commerce , Arts and Science

 ( Online- ISSN 2319 - 9202 )     New DOI : 10.32804/CASIRJ

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AN ANALYSIS OF FINANCIAL HEALTH OF SELECTED COMPANIES IN TEXTILE INDUSTRY IN INDIA USING ALTMAN’S Z SCORE

    3 Author(s):  RAHUL P., VIPULESH U., DR. MALABIKA DEO

Vol -  9, Issue- 3 ,         Page(s) : 186 - 195  (2018 ) DOI : https://doi.org/10.32804/CASIRJ

Abstract

Financial distress is a condition in which corporates face financial problems like inability to pay debts on due dates, reduction in profitability etc. Financial distress may gradually lead companies to bankruptcy and liquidation. Indian textiles industry is a major contributor to the GDP in manufacturing sector. This paper studies the financial health of textile companies using Altman’s Z score. The result of the study shows that majority of the textile companies selected for studies were sick for all the three years. It shows the unhealthy condition of textile companies in India.

1. Altman, E. I. (1968). FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY. The Journal of Finance, 23(4), 589–609. https://doi.org/10.1111/j.1540-6261.1968.tb00843.x
2. Altman, E. I., Haldeman, R. G., & Narayanan, P. (1977). ZETATM analysis A new model to identify bankruptcy risk of corporations. Journal of Banking and Finance, 1(1), 29–54. https://doi.org/10.1016/0378-4266(77)90017-6
3. Beaver. (1966). Financial Ratios As Predictors of Failure Authors ( s ): William H . Beaver Source?: Journal of Accounting Research , Vol . 4 , Empirical Research in Accounting?: Selected Published by?: Wiley on behalf of Accounting Research Center , Booth School of Busi, 4(1966), 71–111. Retrieved from http://www.jstor.org/stable/2490171
4. Cho, S., Kim, J., & Bae, J. K. (2009). An integrative model with subject weight based on neural network learning for bankruptcy prediction. Expert Systems with Applications, 36(1), 403–410. https://doi.org/10.1016/j.eswa.2007.09.060
5. De Andrés, J., Lorca, P., De Cos Juez, F. J., & Sánchez-Lasheras, F. (2011). Bankruptcy forecasting: A hybrid approach using fuzzy c-means clustering and multivariate adaptive regression splines (MARS). Expert Systems with Applications, 38(3), 1866–1875. https://doi.org/10.1016/j.eswa.2010.07.117
6. Dr.r.shanmugam, D. r. shanmuga., & A.mahalakshmi, A. mahalakshm. (2011). Validity of Altman’s Z Score Model in Determining Corporate Sickness Among Indian Companies. Indian Journal of Applied Research (Vol. 4). https://doi.org/10.15373/2249555X/APR2014/221
7. Gururaj, B., & Halageri, S. (2014). Analysis of Financial Strength of select firms from Indian Textiles Industry using Altman ’ s “ Z ” Score Analysis, 2939(5), 1–11.
8. Lee, K., Booth, D., & Alam, P. (2005). A comparison of supervised and unsupervised neural networks in predicting bankruptcy of Korean firms. Expert Systems with Applications, 29(1), 1–16. https://doi.org/10.1016/j.eswa.2005.01.004
9. Martin, D. (1977). Early warning of bank failure. A logit regression approach. Journal of Banking and Finance, 1(3), 249–276. https://doi.org/10.1016/0378-4266(77)90022-X
10. Min, S.-H., Lee, J., & Han, I. (2006). Hybrid genetic algorithms and support vector machines for bankruptcy prediction. Expert Systems with Applications, 31(3), 652–660. https://doi.org/10.1016/j.eswa.2005.09.070
11. Ohlson, J. a. (1980). Financial Ratios and the Probabilistic Prediction of Bankruptcy. Journal of Accounting Research, 18(1), 109. https://doi.org/10.2307/2490395
12. Premachandra, I. M., Chen, Y., & Watson, J. (2011). DEA as a tool for predicting corporate failure and success: A case of bankruptcy assessment. Omega, 39(6), 620–626. https://doi.org/10.1016/j.omega.2011.01.002
13. Taffler, R. J. (1984). Empirical models for the monitoring of UK corporations. Journal of Banking and Finance, 8(2), 199–227. https://doi.org/10.1016/0378-4266(84)90004-9
14. Zmijewski, M. E. (1984). Methodological Issues Related to the Estimation of Financial Distress Prediction Models Author ( s ): Mark E . Zmijewski University of Chicago Stable URL?: http://www.jstor.org/stable/2490859 Your use of the JSTOR archive indicates your acceptance of the. Journal of Accounting Research, 22(1984), 59–82.

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