This paper presents a deep learning model that challenges what is known in the financial
field of company bankruptcy. Specifically, a Multilayer Perceptron (MLP) model for predicting …

Business failure prediction is a topic of great importance for a lot of people (shareholders,
banks, investors, suppliers,…). That's why a lot of models were developed in order to predict …

Predicting corporate bankruptcy has been an important challenging problem in research
topic in accounting and finance. In bankruptcy prediction, researchers often confront a range …

El objetivo de este trabajo es aplicar el análisis discriminante para medir el riesgo de
incumplimiento de las empresas, determinar la probabilidad de quiebra y clasificar a las …

Bankruptcy prediction is a crucial task in the determination of an organization's economic
condition, that is, whether it can meet its financial obligations or not. It is extensively …

Bankruptcy is one of the important elements of the structure of the market system and its
purpose is to protect socio-economic processes against the results of inefficient activities of …

The issue of bankruptcy is still relevant. Academics, as well as practitioners in the business
environment, are devoted to it. In their studies, they apply different features as well as wide …

For financial institutions, the ability to predict or forecast business failures is crucial, as
incorrect decisions can have direct financial consequences. Bankruptcy prediction and …

Individuals and businesses can eliminate their debts legally by applying for bankruptcy
which can impact everyone involved from the investors to individual employees. Bankruptcy …

The scientific community has demonstrated that for the bankruptcy prediction, different
techniques have different advantages on different data sets and different feature selection …