In recent two decades, artificial neural networks have been extensively used in many
business applications. Despite the growing number of research papers, only few studies …

Purpose–The aim of this paper is to develop a bankruptcy prediction model for the Belgian
small-and medium-sized enterprises (SMEs) through the building of a logit model that …

In this study, differential evolution algorithm (DE) is proposed to train a wavelet neural
network (WNN). The resulting network is named as differential evolution trained wavelet …

Bankruptcy prediction has been a topic of active research for business and corporate
organizations since past few decades. The problem has been tackled using various models …

This article is devoted to the issue of forecasting the bankruptcy risk of enterprises in Latin
America and Central Europe. The author has used statistical and soft computing methods to …

In the field of detection and prediction of company defaults and bankruptcy, significant effort
has been devoted to evaluating financial ratios as predictors using statistical models and …

Software development has become an essential investment for many organizations.
Software engineering practitioners have become more and more concerned about …

Over the last years, it has been observed an increasing interest of the finance and business
communities in any application tool related to the prediction of credit and bankruptcy risk …

Forecasting consumer price index (CPI) inflation is of paramount importance for both
academics and policymakers at central banks. This study introduces the filtered ensemble …

Fraudulent financial reporting (FFR) involves conscious efforts to mislead others regarding
the financial condition of a business. It usually consists of deliberate actions to deceive …