The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

ABSTRACT Generative Artificial Intelligence (AI), such as ChatGPT by OpenAI, has
revolutionized the business world, with benefits including improved accessibility, efficiency …

Developing accurate analytical credit scoring models has become a major focus for financial
institutions. For this purpose, numerous classification algorithms have been proposed for …

Credit risk is the most significant risk by impact for any bank and financial institution.
Accurate credit risk assessment affects an organisation's balance sheet and income …

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 …

Stock movement forecasting is usually formalized as a sequence prediction task based on
time series data. Recently, more and more deep learning models are used to fit the dynamic …

Forecasting cryptocurrency behaviour is an increasingly important issue for investors.
However, proposed analytical approaches typically suffer from a lack of explanatory power …

Digital technologies produce vast amounts of unstructured data that can be stored and
accessed by traditional banks and fintech companies. We employ deep learning and several …

Complaint analysis is an essential business analytics application because complaints have
a strong influence on customer satisfaction (CSAT). However, the process of categorising …

Accurate assessment of financial distress of SMEs is critical as it has strong implications for
various stakeholders to understand the firm's financial health. Recent studies start to …