Predicting bankruptcies and assessing credit risk are two of the most pressing issues in finance. Therefore, financial distress prediction and credit scoring remain hot research topics in the finance sector. Earlier studies have focused on the design of statistical approaches and machine...

The advancement in FinTech especially artificial intelligence (AI) and machine learning (ML), has significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are...

To avoid the complexity and time consumption of traditional statistical and mathematical programming, intelligent techniques have gained great attention in different financial research areas, especially in banking decisions' optimization. However, choosing optimum bank lending decisions that...

Purpose: This paper aims to provide insights regarding the state of the art of digital transformation for small- and medium-sized enterprises (SMEs) in Egypt and propose avenues for future research. Design/methodology/approach: A proposed framework for the digitization process in SMEs is...

Theoretical and practical foundations of liquidity-adjusted value-at-risk (lvar) : optimization algorithms for portfolios selection and management / Mazin A. M. Al Janabi -- Financial analysis for mobile and cloud applications / Jennifer Brodmann and Makeen Huda -- Eye movement study of...

Theoretical and practical foundations of liquidity-adjusted value-at-risk (lvar) : optimization algorithms for portfolios selection and management / Mazin A. M. Al Janabi -- Financial analysis for mobile and cloud applications / Jennifer Brodmann and Makeen Huda -- Eye movement study of...