[[abstract]]The scholar, Beaver, once used the single variable method for analyzing 30 financial rates and compared the arrangement. However, the single variable method confers only one factor. Therefore, the research will use the logistic regression model to analyze the single financial factor first; afterwards setting up the gains, cash-flow, growing-up, debt-paying, and managing index metric financial models. Discovered: The predictive index on the accuracy of the three top distinguishing factors of the crisis company are: 1) the borrowed money depends on degree, 2) net value / total assets, 3) the cash flow of the operating activity / total assets. At some companies, the borrowed money from a certain source depends on degree, net value ...
A large number of researchers devote themselves to the study of financial distress predictive models...
We developed three Logit models for estimating the rating of prediction of bankruptcy for listed fir...
The purpose of this study is to highlight the predictors of financial distress during the period 199...
Financial crises are one of the most common phenomena in the economy. This research studies im...
The purpose of this paper is to determine the factors which possess the ability to predict the proba...
Abstract: This study conducts an empirical analysis of corporate financial crisis to develop an earl...
The company's expertise in predicting the condition of financial distress is the most important fact...
In order to reduce the default rate of corporate bond market, the author proposes to use digital sig...
[[abstract]]The purpose of this dissertation is to discuss the factors which can affect the occurren...
This study attempts to predict financial distress companies in the consumer products sector in Malay...
Every company has the possibility to go bankrupt. Bankruptcy begins with a condition of financial di...
The aim of this research is to provide a model that predicts company’s financial distress on the bas...
Purpose: This study aims to compare the prediction accuracy of traditional distress prediction model...
This study compares three methodologies for identifying financially distressed companies, multiple d...
The main purpose of this research is to develop a model that can predict financial distress amongst ...
A large number of researchers devote themselves to the study of financial distress predictive models...
We developed three Logit models for estimating the rating of prediction of bankruptcy for listed fir...
The purpose of this study is to highlight the predictors of financial distress during the period 199...
Financial crises are one of the most common phenomena in the economy. This research studies im...
The purpose of this paper is to determine the factors which possess the ability to predict the proba...
Abstract: This study conducts an empirical analysis of corporate financial crisis to develop an earl...
The company's expertise in predicting the condition of financial distress is the most important fact...
In order to reduce the default rate of corporate bond market, the author proposes to use digital sig...
[[abstract]]The purpose of this dissertation is to discuss the factors which can affect the occurren...
This study attempts to predict financial distress companies in the consumer products sector in Malay...
Every company has the possibility to go bankrupt. Bankruptcy begins with a condition of financial di...
The aim of this research is to provide a model that predicts company’s financial distress on the bas...
Purpose: This study aims to compare the prediction accuracy of traditional distress prediction model...
This study compares three methodologies for identifying financially distressed companies, multiple d...
The main purpose of this research is to develop a model that can predict financial distress amongst ...
A large number of researchers devote themselves to the study of financial distress predictive models...
We developed three Logit models for estimating the rating of prediction of bankruptcy for listed fir...
The purpose of this study is to highlight the predictors of financial distress during the period 199...