Artificial intelligence (AI) is receiving increasing attention in business and society. In
banking, the first applications of AI were successful; however, AI is mainly applied in …

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 …

We examine whether corporate bankruptcy predictions can be improved by utilizing the
recurrent neural network (RNN) and long short-term memory (LSTM) algorithms, which can …

Corporate default predictions play an essential role in each sector of the economy, as
highlighted by the global financial crisis and the increase in credit risk. This study reviews …

This work analyzes the relation between the judicial system and financial constraints,
investigating whether inefficiency in enforcing credit rights can amplify companies' difficulties …

Using a and a unique set of Italian non-listed Unlikely to Pay (UTP) positions, that consist in
the phase that precedes the insolvency but where it is still possible for the company to …

Considering the Italian legal environment, this work aims to shed new light on the behavior
of SMEs under financial constraints, investigating how the inefficiency of courts in enforcing …

This article investigates the dividend informational content hypothesis, showing how
managers react to a poor legal environment through positive and credible messages to …

The cooperative system and especially social cooperatives are increasingly regarded as a
fundamental tool in the transition from the welfare state to the welfare society. In Italy …

Forecasts of corporate defaults are used in various fields across the economy. Several
recent studies attempt to forecast corporate bankruptcy using various machine learning …