Using state-of-the-art recurrent neural network architectures, this study attempts to predict credit default swap risk premia for BR[I]CS countries as accurately as possible. In the time series setting, these recurrent neural networks are ELMAN, NARX, GRU, and LSTM RNNs, considering local and...

Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...

The aim of this study is to verify the stability of the profitability-liquidity relationship over time, as well as to determine this relationship in terms of its level and structure. In this context, three main research questions were formulated. First, is the profitability-liquidity...

This study presents a novel financial performance forecasting method that combines the threshold technique with Artificial Neural Networks (ANN). It applies the threshold regression method to identify the factors within the board of directors that influence the financial performance of...

The objective of the article is to develop and test in practice a mechanism for constructing AI/ML-based predictions, adapted for use in the system of government socio-economic administration in Ukraine. Research design is represented by several methods like qualitative analysis in order to...

The study investigated the effectiveness of technical analysis indicators in trading spot exchange rates of emerging economies' currencies under integration with artificial neural networks (ANN) and the quantitative testing of these indicators' success in this matter with the goal of...

The rising cost of healthcare has become a global concern and is a significant challenge for low and middle-income countries, including Jordan. This study aims to develop new neural network models for predicting total health expenditure (EH) in Jordan over the period of 1990-2021. In the first...

In this study, a path to improving students' core literacy is explored, and a new mechanism is developed for maker education and teaching based on research on students' core literacy and the essence of maker education. An evaluation model of college students' maker ability is established, and an...