Credit risk is the risk of financial loss when a borrower fails to meet the financial commitment.
While there are many factors that constitute credit risk, due diligence while giving loan (credit …

The assessment of financial credit risk is an important and challenging research topic in the
area of accounting and finance. Numerous efforts have been devoted into this field since the …

The matrix-completion problem has attracted a lot of attention, largely as a result of the
celebrated Net flix competition. Two popular approaches for solving the problem are nuclear …

This paper describes a new paradigm of machine learning, in which Intelligent Teacher is
involved. During training stage, Intelligent Teacher provides Student with information that …

Artificial intelligence (AI) has grown in presence in asset management and has
revolutionized the sector in many ways. It has improved portfolio management, trading, and …

Ratio type financial indicators are the most popular explanatory variables in bankruptcy
prediction models. These measures often exhibit heavily skewed distribution because of the …

The paper considers general machine learning models, where knowledge transfer is
positioned as the main method to improve their convergence properties. Previous research …

In accounting and finance domains, bankruptcy prediction is of great utility for all of the
economic stakeholders. The challenge of accurate assessment of business failure …

The recent world financial crisis has increased the number of bankruptcies in numerous
countries and has resulted in a new area of research which responds to the need to predict …

Machine learning (ML) has revolutionised data analysis over the past decade. Like
innumerous other industries heavily reliant on accurate information, banking supervision …