Corporate bankruptcy prediction is an important topic in accounting and finance, having
significant relevance for many stakeholders, including investors, creditors, suppliers, and …

En este trabajo se realiza una revisión y análisis de las principales teorías y modelos que
abordan la predicción de la insolvencia y quiebra empresarial. Las redes neuronales son …

This paper evaluates the performance of five distinct models namely, Elastic Net, Support
Vector Machines, AdaBoost, Random Forest and Neural Networks and combinations …

Bankruptcy prediction is an important economic problem. It is a crucial problem in finance,
as successful prediction enables stakeholders to take early actions to reduce their economic …

In this thesis, we create a new multi-year model for predicting bankruptcies in the Norwegian
market. Our emphasis is on utilizing all parts of the financial statements and related …

Bankruptcy prediction problem has been intensively studied over the past decades. From
traditional statistical models to state of the art machine learning models, various predictive …

Predicting corporate bankruptcy is one of the fundamental tasks in credit risk assessment. In
particular, since the 2007/2008 financial crisis, it has become a priority for most financial …

Predicting bankruptcy within selected industries is crucial because of the potential ripple
effects and unique characteristics of those industries. It serves as a risk management tool …

Corporate bankruptcy is a global issue that has increased over the last few years. Due to
lack of adequate historical data, current models have not been able to correctly predict …

En este trabajo se realiza una revisión y análisis de las principales teorías y modelos que
abordan la predicción de la insolvencia y quiebra empresarial. Las redes neuronales son …