Up until 1979, Multiple Discriminant Analysis (MDA) was the primary multivariate methodological approaches to ratio-based modelling of corporate collapse. However, as new statistical tools became available, researchers started testing them with the primary objective of deriving models that would at least do as good a job as MDA, but that rely on fewer assumptions. Regardless of which methodological approach was chosen, most were compared to MDA. This paper analyses 84 studies on ratio based modelling of corporate collapse over the period 1968 to 2004. The results indicate that when MDA was not the primary methodology it was the benchmark of choice for comparison; thereby, demonstrating its importance as a foundation multivariate methodologi...
This thesis offers an explanation of the statistical modelling of corporate financial indicators in...
This paper employed ratio analysis, and in particular the multi discriminant analysis model in predi...
This paper uses Multidimensional Scaling (MDS) techniques to explore the relationship between a samp...
The year 1968 saw a major shift from univariate to multivariate methodological approaches to ratio-b...
This paper provides a fonnal ranking of the popularity of financial ratios in modeling corporate col...
This paper utilizes a methodological approach called Multi-Level Modeling (MLM) that addresses two m...
An investigation into the use of mathematical models in the prediction of corporate failure, and the...
Much has been written about the use of multiple discriminant analysis in corporate distress classifi...
Empirical investigations regarding ratio-based modelling of corporate collapse have been ongoing for...
Empirical investigations regarding ratio-based modelling of corporate collapse have been on going fo...
Regardless of the technical procedure used in signalling corporate collapse, the bottom line rests o...
Multivariate discriminant analysis (MDA) has long been used to classify failing and non-failing firm...
The recognition of behavioural elements in finance has caused major shifts in the analytic framework...
This study compares three methodologies for identifying financially distressed companies, multiple d...
This paper draws on empirical evidence to demonstrate that a heuristic framework signals collapse wi...
This thesis offers an explanation of the statistical modelling of corporate financial indicators in...
This paper employed ratio analysis, and in particular the multi discriminant analysis model in predi...
This paper uses Multidimensional Scaling (MDS) techniques to explore the relationship between a samp...
The year 1968 saw a major shift from univariate to multivariate methodological approaches to ratio-b...
This paper provides a fonnal ranking of the popularity of financial ratios in modeling corporate col...
This paper utilizes a methodological approach called Multi-Level Modeling (MLM) that addresses two m...
An investigation into the use of mathematical models in the prediction of corporate failure, and the...
Much has been written about the use of multiple discriminant analysis in corporate distress classifi...
Empirical investigations regarding ratio-based modelling of corporate collapse have been ongoing for...
Empirical investigations regarding ratio-based modelling of corporate collapse have been on going fo...
Regardless of the technical procedure used in signalling corporate collapse, the bottom line rests o...
Multivariate discriminant analysis (MDA) has long been used to classify failing and non-failing firm...
The recognition of behavioural elements in finance has caused major shifts in the analytic framework...
This study compares three methodologies for identifying financially distressed companies, multiple d...
This paper draws on empirical evidence to demonstrate that a heuristic framework signals collapse wi...
This thesis offers an explanation of the statistical modelling of corporate financial indicators in...
This paper employed ratio analysis, and in particular the multi discriminant analysis model in predi...
This paper uses Multidimensional Scaling (MDS) techniques to explore the relationship between a samp...