We are concerned with providing more empirical evidence on forecast failure, developing forecast models, and examining the impact of events such as audit reports. A joint consideration of classic financial ratios and relevant external indicators leads us to build a basic prediction model focused in non-financial Galician SMEs. Explanatory variables are relevant financial indicators from the viewpoint of the financial logic and financial failure theory. The paper explores three mathematical models: discriminant analysis, Logit, and linear multivariate regression. We conclude that, even though they both offer high explanatory and predictive abilities, Logit and MDA models should be used and interpreted jointly
Predicting corporate failure is an important problem in management science. This study tests a new m...
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: ...
Many bankruptcy prediction models have been created over the years using a mix of variables derived ...
AbstractIn the research group we are working to provide further empirical evidence on the business f...
as a business failure prediction tool Application to the case of galician SMEs Fecha de recepción: 0...
In the research group we are working to provide further empirical evidence on the business failure f...
This paper provides empirical evidence on the prediction of non-financial companies’ failure. We dev...
Being able to make an objective assessment of a firm’s probability of getting into distress and even...
In the current perpetual economic context, several companies have undergone economic and financial d...
Predicting corporate failure is an important problem in management science. This study tests a new m...
Licencia Creative Commons: Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)In the field of cre...
In corporate finance, the early prediction of financial distress is considered more important as ano...
From the time of Altman and the first bankruptcy prediction models, the prediction of default of com...
While the world economy is slowly recovering, there are still many uncertainties in the economic env...
The logit analysis is one of the more recent and advanced techniques, used in social sciences to mod...
Predicting corporate failure is an important problem in management science. This study tests a new m...
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: ...
Many bankruptcy prediction models have been created over the years using a mix of variables derived ...
AbstractIn the research group we are working to provide further empirical evidence on the business f...
as a business failure prediction tool Application to the case of galician SMEs Fecha de recepción: 0...
In the research group we are working to provide further empirical evidence on the business failure f...
This paper provides empirical evidence on the prediction of non-financial companies’ failure. We dev...
Being able to make an objective assessment of a firm’s probability of getting into distress and even...
In the current perpetual economic context, several companies have undergone economic and financial d...
Predicting corporate failure is an important problem in management science. This study tests a new m...
Licencia Creative Commons: Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)In the field of cre...
In corporate finance, the early prediction of financial distress is considered more important as ano...
From the time of Altman and the first bankruptcy prediction models, the prediction of default of com...
While the world economy is slowly recovering, there are still many uncertainties in the economic env...
The logit analysis is one of the more recent and advanced techniques, used in social sciences to mod...
Predicting corporate failure is an important problem in management science. This study tests a new m...
This paper offers a comparative analysis of the effectiveness of eight popular forecasting methods: ...
Many bankruptcy prediction models have been created over the years using a mix of variables derived ...