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 …

The prediction of bankruptcy risk poses a formidable challenge in the fields of economics
and finance, particularly within the healthcare industry, where it carries significant economic …

With the recent advances in machine learning (ML), several models have been successfully
applied to financial and accounting data to predict the likelihood of companies' bankruptcy …

The analysis of financial reports is a crucial task for investors and regulators, especially the
mandatory annual reports (10-K) required by the SEC (Securities and Exchange …

Machine and Deep Learning methods are widely adopted to predict corporate bankruptcy
events for their effectiveness. Bankruptcy prediction is commonly modeled as a binary …

This paper introduces an innovative method for constructing industry momentum portfolios
by leveraging two stock networks: one based on stock price correlations and the other on …

We constructed a financial network based on the relationships of the customers in our
database with our other customers or other bank customers using our large-scale data set of …

With the recent advances in Machine Learning (ML), several models have been successfully
applied to financial and accounting data to predict the likelihood of companies' bankruptcy …

The paper builds, in the first part, a benchmark index based on the optimal mix of indices for
the global asset classes of equity, fixed-income securities, real estate, commodities, and …