Predicting Bankruptcy using Multi Discriminant Analysis in Sugar Industry Cover Image

Predicting Bankruptcy using Multi Discriminant Analysis in Sugar Industry
Predicting Bankruptcy using Multi Discriminant Analysis in Sugar Industry

Author(s): Kavita Chavali, Shireen Rosario
Subject(s): Business Economy / Management, Transformation Period (1990 - 2010), Present Times (2010 - today), Accounting - Business Administration
Published by: Reprograph
Keywords: financial distress; multi discriminant analysis; bankruptcy; Altman Z score; sugar industry;

Summary/Abstract: The study is about examining and predicting the financial health of sugar industry using multi discriminant analysis. The study has taken a sample of 27 sugar companies and data for eleven years 2005-2015 is taken from the financial statements of the companies. It is found that out of 27 sample companies none are in safe zone, 6 companies are in grey zone and 21 companies are in the red zone or distress as far as financial health is concerned. This is the true reflection of the sugar industry today which is bogged down by plethora of problems like high cost of procurement and low realization towards final product which resulted in the companies into distress.

  • Issue Year: XI/2016
  • Issue No: 42
  • Page Range: 761-762
  • Page Count: 2
  • Language: English