Predication of Bankruptcy is critical task. Early stage of identification of likelihood of solvency may avoid evils in the near future & may shelter the firm from Bankruptcy situation. Bankruptcy of organizations can be predicated by using Altman’s Z-Score Model. This study tries to apply the model to understand the likelihood of Bankruptcy of selected firms for past 5 years from 2011 to 2015 which are listed in BSE & NSE. Companies are selected from manufacturing & non-manufacturing sector. The study reveals that none of the companies completely belongs to Safe Zone except for few years. Most of the firms are in Distress Zone which clearly indicates that these firms may go Bankrupt in near future
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
Altman’s Z-Score is a mathematical model consists of four to five financial variables’ that can be u...
Since development in 1968, Altman’s Z-score has been widely used to judge the risk of financial fail...
Bankruptcy is the legal status for an individual or company incapable to pay off outstanding debt. P...
Based on the calculation of the Altman model in predicting bankrupt at PT. Bank Rakyat Indonesia (P...
Based on the calculation of the Altman model in predicting bankrupt at PT. Bank Rakyat Indonesia (Pe...
Based on the calculation of the Altman model in predicting bankrupt at PT. Bank Rakyat Indonesia (Pe...
Financial health is of great concern for a business firm. For measuring the financial health of a bu...
The purpose of the study was to predict bankruptcy rates in companies indexed in LQ45. The study was...
Financial health is of great concern for a business firm. For measuring the financial health of a bu...
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
The purpose of this study is to assess the effectiveness of Altman’s Z score in predicting corporate...
The purpose of this paper is firstly to review the literature on the efficacy and importance of the ...
One way to assess the condition or assess the performance of the company can be done by analyzing th...
This research is aimed to examines the most accurate in predicts bankruptcy with matching process b...
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
Altman’s Z-Score is a mathematical model consists of four to five financial variables’ that can be u...
Since development in 1968, Altman’s Z-score has been widely used to judge the risk of financial fail...
Bankruptcy is the legal status for an individual or company incapable to pay off outstanding debt. P...
Based on the calculation of the Altman model in predicting bankrupt at PT. Bank Rakyat Indonesia (P...
Based on the calculation of the Altman model in predicting bankrupt at PT. Bank Rakyat Indonesia (Pe...
Based on the calculation of the Altman model in predicting bankrupt at PT. Bank Rakyat Indonesia (Pe...
Financial health is of great concern for a business firm. For measuring the financial health of a bu...
The purpose of the study was to predict bankruptcy rates in companies indexed in LQ45. The study was...
Financial health is of great concern for a business firm. For measuring the financial health of a bu...
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
The purpose of this study is to assess the effectiveness of Altman’s Z score in predicting corporate...
The purpose of this paper is firstly to review the literature on the efficacy and importance of the ...
One way to assess the condition or assess the performance of the company can be done by analyzing th...
This research is aimed to examines the most accurate in predicts bankruptcy with matching process b...
Bankruptcy prediction of economic institutions is considered a necessary matter at the present time ...
Altman’s Z-Score is a mathematical model consists of four to five financial variables’ that can be u...
Since development in 1968, Altman’s Z-score has been widely used to judge the risk of financial fail...