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We evaluate the prediction accuracy of models designed using different classification methods depending on the technique used to select variables, and we study the relationship between the structure of the models and their ability to correctly predict financial failure. We show that a neural...
Persistent link: https://www.econbiz.de/10011114285
En este artículo aportamos evidencia empírica de predicción del fallo financiero en empresas no financieras. Hemos desarrollado diversos modelos para la evaluación del riesgo de fallo financiero en PYME. Contrastada la capacidad predictiva de modelos paramétricos (análisis discriminante...
Persistent link: https://www.econbiz.de/10011105503
El objetivo del presente trabajo de investigación es mostrar el impacto de las amenazas de la inundación, la sequía y la helada en el bienestar de las diferentes regiones de Bolivia, tomando a las vulnerabilidades como variables de aproximación a los indicadores socioeconómicos de...
Persistent link: https://www.econbiz.de/10010991298
Since 1968, after the development of multivariate model, financial health of the corporate sector to predict their financial failure is heavily studied. Altman Z-Score is the most efficient model to judge the financial failure of the companies. This study uses Altman’s Z-Score and current...
Persistent link: https://www.econbiz.de/10011109770
Data processes run by states, governments and the like have been a great deal and as old as the modern human history. Data had always been important. Tons were collected and siloed, but never in the past had its importance been felt as much as it had been when the last crisis broke out in 2008....
Persistent link: https://www.econbiz.de/10011114142
In this paper we propose an approach to predict insolvency of non-life insurance companies based on the application of Support Vector Machines (SVMs), hybridized with two global search heuristics: a Genetic Algorithm (GA) and a Simulated Annealing (SA). A SVM is used to classify firms as failed...
Persistent link: https://www.econbiz.de/10004992708
A tanulmány arra a kérdésre keresi a választ, hogy Magyarországon is megbízha tóbbnak bizonyulnak-e a legkorszerűbb csődelőrejelzési módszerek a hagyományos matematikai-statisztikai eljárásoknál. Az első hazai csődmodell adatbázisán végre hajtott szimulációs kísérletek...
Persistent link: https://www.econbiz.de/10010963006
A Bázel-2 tőkeegyezmény magyarországi bevezetése új lendületet adott a sokváltozós csőd-előrejelzési módszerek alkalmazásnak és továbbfejlődésének. A cikk a nemzetközi szakirodalomban és pénzintézeti gyakorlatban leggyakrabban alkalmazott négy csőd-előrejelzési...
Persistent link: https://www.econbiz.de/10010963104
This paper provides empirical evidence on the prediction of non-financial companies’ failure. We develop several models to evaluate failure risk in companies from Galicia. We check the predictive ability of parametric models (multivariate discriminant, logit) compared with auditor’s report....
Persistent link: https://www.econbiz.de/10011031774
Discussion on methodological problems of corporate survival and solvency prediction is enjoying a renaissance in the era of financial and economic crisis. Within the framework of this article, the most frequently applied bankruptcy prediction methods are competed on a Hungarian corporate...
Persistent link: https://www.econbiz.de/10010822327