z-logo
open-access-imgOpen Access
A Study of Financial Distress based on MDA
Author(s) -
Amalendu Bhunia,
Ruchira Sarkar
Publication year - 2011
Publication title -
journal of management research
Language(s) - English
Resource type - Journals
ISSN - 1941-899X
DOI - 10.5296/jmr.v3i2.549
Subject(s) - financial distress , linear discriminant analysis , predictive power , context (archaeology) , discriminant function analysis , discriminant , distress , financial ratio , business failure , multiple discriminant analysis , artificial intelligence , computer science , statistics , machine learning , business , mathematics , psychology , finance , geography , financial system , philosophy , archaeology , epistemology , psychotherapist

The present study is crucial importance to build up a model to develop the predictive abilities for company failures in a later time frame with different financial, business and operating conditions in the Indian context. A total of sixty-four private sector pharmaceutical companies were analyzed with sixteen financial ratios using multiple discriminant analysis. A strong discriminant function was constructed with seven ratios found to be significant in discriminating power and the classification results showed high predictive accuracy rates of between 88% and 94% for each of the five years prior to actual failure. This study also indicated that even with more advanced statistical tools more popularly used recently, MDA is still a very reliable and potent statistical tool.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here