Mathematical models for the prediction of company failure are by now well established. Most of the work on multivariate modelling of distress prediction attempts to obtain a score that gives the failure probability of a company. A data set of 66 Spanish banks, 29 of which failed, is used to show that multidimensional scaling (MDS) techniques can be of use to produce simple tools for the analysis of financial health. MDS has the advantage of producing pictorial representations that are easy to interpret and use. This is done without loss of statistical rigour given the very close links between MDS and other multivariate statistical techniques that are normally used in the analysis of failure. As an example, the technique is used to trace the...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.88753(93-73) / BLDSC - British L...
This research contributes to the literature on bank failure prediction by augmenting the set of trad...
Risk management has been a topic of great interest to Michael McAleer. Even as recent as 2020, his p...
Mathematical models for the prediction of company failure are by now well established. Most of the w...
This paper uses Multidimensional Scaling (MDS) techniques to explore the relationship between a samp...
Scaling techniques are proposed as a tool for the analysis and prediction of corporate failure. This...
Scaling techniques are proposed as an alternative tool for the analysis and prediction of corporate ...
Summarization: This paper examines the problem of bank failure and proceeds to the development of ba...
The objective of this paper is to propose a methodological framework for constructing the integrated...
Three-way multidimensional scaling methods are used to study the differences between UK failed and ...
As a contribution to bank regulation by improving the accuracy of predicting failed banks, I first i...
An explanation of how a Cox proportional hazards model can be used to identify both failed and healt...
This thesis offers an explanation of the statistical modelling of corporate financial indicators in...
The multi discriminant analysis model (MDA) as proposed by Altman in 1968 was applied to a group of ...
The banking system has been a backbone for most developed and emerging economies. It provides suppor...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.88753(93-73) / BLDSC - British L...
This research contributes to the literature on bank failure prediction by augmenting the set of trad...
Risk management has been a topic of great interest to Michael McAleer. Even as recent as 2020, his p...
Mathematical models for the prediction of company failure are by now well established. Most of the w...
This paper uses Multidimensional Scaling (MDS) techniques to explore the relationship between a samp...
Scaling techniques are proposed as a tool for the analysis and prediction of corporate failure. This...
Scaling techniques are proposed as an alternative tool for the analysis and prediction of corporate ...
Summarization: This paper examines the problem of bank failure and proceeds to the development of ba...
The objective of this paper is to propose a methodological framework for constructing the integrated...
Three-way multidimensional scaling methods are used to study the differences between UK failed and ...
As a contribution to bank regulation by improving the accuracy of predicting failed banks, I first i...
An explanation of how a Cox proportional hazards model can be used to identify both failed and healt...
This thesis offers an explanation of the statistical modelling of corporate financial indicators in...
The multi discriminant analysis model (MDA) as proposed by Altman in 1968 was applied to a group of ...
The banking system has been a backbone for most developed and emerging economies. It provides suppor...
SIGLEAvailable from British Library Document Supply Centre-DSC:3597.88753(93-73) / BLDSC - British L...
This research contributes to the literature on bank failure prediction by augmenting the set of trad...
Risk management has been a topic of great interest to Michael McAleer. Even as recent as 2020, his p...