This study reviews the methodologies used in the literature to predict failure in small and
medium-sized enterprises (SMEs). We identified 145 SMEs' default prediction studies from …

Many bankruptcy prediction models for small and medium-sized enterprises (SMEs) are built
using accounting-based financial ratios. This study proposes a bankruptcy prediction model …

We explore how machine learning and artificial intelligence (AI) solutions are transforming
risk management. A non-technical overview is first given of the main machine learning and …

In recent years, the integration of artificial intelligence (AI), blockchain technology, and
machine learning has transformed credit risk mitigation strategies in the financial industry …

We identify the core topics of research applying machine learning to finance. We use a
probabilistic topic modeling approach to make sense of this diverse body of research …

In small business credit risk assessment, the default and nondefault classes are highly
imbalanced. To overcome this problem, this study proposes an extended ensemble …

Abstract Know Your Customer (KYC) data can serve as a valuable risk assessment tool for
banks by providing information that can identify customers who are more likely to default on …

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 …

Owing to information asymmetry, evaluating the credit risk of small-and medium-sized
enterprises (SMEs) is difficult. While previous studies evaluating the credit risk of SMEs have …

This study evaluates the performance of various methodologies used in the literature to
predict failures in small-and medium-sized enterprises (SMEs) using a data set of US SMEs …