Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/4388
Title: Modeling Financial Distress Prediction of Indian Companies (Only Abstract)
Authors: Kashyap, Suresh
Bansal, Rohit
Keywords: Corporate
Defaulters
Financially distress
Model
Multiple discriminant analysis
Ratios
Issue Date: 19-May-2019
Publisher: International Journal of Recent Technology and Engineering (IJRTE)
Abstract: In the times when banks are helplessly chasing corporate defaulters in legal battles, there is a need to predict the distress of the company by using some model. Studies related to financial distress are mainly focused on certain variables that may be able to make a distinction between a financially healthy and distress firm. The intend of the studyis to construct a statistical model which will make use of certain financial ratios which will be helpful in finding whether a company will fall into distress or not in future. Multiple discriminant analysis has been applied to diffrentiate between financially distress and nondistress companies. The final model predicted 95% of the cases accurately prior to distress.
URI: http://localhost:8080/xmlui/handle/123456789/4388
Appears in Collections:E-Publication

Files in This Item:
File Description SizeFormat 
Modeling Financial Distress Prediction of Indian Companies.docx10.54 kBMicrosoft Word XMLView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.