Authors : L. Philo Daisy Rani, Amit Verma and Satyam Kharra
Abstract: The role played by the Navratna companies (PSUs) towards the GDP of Indian economy is 26%, it can never be ignored. In this study, linear discriminant analysis is used to analyze the financial performance of Navratna PSUs (Public Sector Units). The discriminating factors have been identified for effective prediction of their categories according to their financial performance as poor and high. This study uses linear discriminant analysis, the most popular analytical tools to discriminate the financial performance of companies as high and poor. Through this study, the discriminating variables that discriminate the best performing Navratna companies are identified. Furthermore, a discriminating score that classifies the companies as high and poorly performing PSUs is identified. The real world dataset from the year 2012-13 to 2015-16 and relevant statistical measures have been used for performance evaluation of these companies. This study can be used for identification, monitoring, evaluation, analysis, measure and ranking of the company and categorizing them in terms of financial performance. Using the Z score any company can identify their position and concentrate on the identified variables. Considering their role in the development of Indian economy and also their service to Indian citizens in ways such as manufacturing and producing products, raw materials and offering numerous other services, it is necessary frequently monitor their financial health for better sustenance. This study has developed a discriminant model for evaluating financial performance of Navratna companies.
L. Philo Daisy Rani, Amit Verma and Satyam Kharra, 2019. Discriminant Analysis: An Applied Mathematical Tool to Navarathna Company’s Financial Performance. Journal of Engineering and Applied Sciences, 14: 759-765.