Abstract -Many researchers have built bankruptcy prediction models and tested in different countries. Among them the most popular have been the model developed by Edward Altman in 1968 in which Multiple Discriminant Analysis was used. In this study we had compared the most popular technique used for bankruptcy prediction that is Multiple Discriminant Analysis with a comparatively newer one that is Artificial Neural Network with Indian data. To the best of our knowledge this study is the first of its kind in which comparison of both the techniques with Indian Data for bankruptcy prediction have been shown. For building models for bankruptcy prediction, pairs of bankrupt and non-bankrupt companies were needed. The names of bankrupt companies ...
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
Recent literature strongly suggests that machine learning approaches to classification outperform "c...
In this research, a neural network based clustering model is successfully applied to predict bankrup...
The purpose of this study is to explore the applicability of a form of the artificial neural network...
Prediction of corporates bankruptcies is a topic that has gained more importance in the last two dec...
This paper aims to predict the bankruptcy in Indian private banks using financial ratios such as ROA...
Abstract Today, the intensity of industry competition has led many companies going bankrupt and pull...
Some of the largest United States bankruptcies of publicly-traded non-financial firms have occurred ...
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
The article attempts to answer the question whether or not the latest bankruptcy prediction techniqu...
Financial distress is a condition where a company has difficulty paying off its financial obligation...
In business analytics and the financial world, bankruptcy prediction has been ...
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
Bankruptcy is that state of insolvency in which a company or an organization cannot discharge their ...
An intensive research from academics and practitioners has been provided regarding models for bankru...
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
Recent literature strongly suggests that machine learning approaches to classification outperform "c...
In this research, a neural network based clustering model is successfully applied to predict bankrup...
The purpose of this study is to explore the applicability of a form of the artificial neural network...
Prediction of corporates bankruptcies is a topic that has gained more importance in the last two dec...
This paper aims to predict the bankruptcy in Indian private banks using financial ratios such as ROA...
Abstract Today, the intensity of industry competition has led many companies going bankrupt and pull...
Some of the largest United States bankruptcies of publicly-traded non-financial firms have occurred ...
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
The article attempts to answer the question whether or not the latest bankruptcy prediction techniqu...
Financial distress is a condition where a company has difficulty paying off its financial obligation...
In business analytics and the financial world, bankruptcy prediction has been ...
International audienceThe use of neural networks in finance began by the end of the 1980s and by the...
Bankruptcy is that state of insolvency in which a company or an organization cannot discharge their ...
An intensive research from academics and practitioners has been provided regarding models for bankru...
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
Recent literature strongly suggests that machine learning approaches to classification outperform "c...
In this research, a neural network based clustering model is successfully applied to predict bankrup...