This paper aims to investigate the co-movement between the credit growth and gross domestic product (GDP) growth in Turkey over the period January 2004–October 2019. By taking into account alternative credit decomposition and the variations over time and across frequencies using the wavelet...

The purpose of this paper is to analyze market reflexivity in agricultural futures contracts with different maturities. To this end, we apply a four-dimensional Hawkes model to storable and non-storable agricultural commodities. We find market reflexivity for both storable and non-storable...

This research begins with the following questions: Is there consistency between the identification of development and the economic structure that is possessed?; are there similarities among economies identified with differences in their levels of development?; and, are there non-developed...

From an Internal Audit perspective, the integration of Artificial Intelligence (AI) into credit risk modelling through Machine Learning (ML) algorithms presents significant challenges due to the complexity and multidimensional nature of these models. While AI enhances predictive performance and...

Innovations contribute to economic growth. Hence, knowledge about drivers of innovation activities is a necessary input for economic policy making when it comes to implement targeted support measures. We focus on firms as potential drivers of innovation and use a novel data-driven approach to...

The study examines the volatility linkages between India and Asian tiger cubs, i.e., the Philippines, Indonesia, Malaysia, and Thailand. It aims to explore the spillover effects of volatility among these countries' stock markets to provide valuable insights to investors and policymakers. To...

The study explores key academic competencies and professional skills in data science in the context of the development of artificial intelligence, highlighting their importance in the business environment. Using the "2022 Stack Overflow Annual Developer Survey" dataset and machine learning...

New digital methods are currently enhancing the historian’s toolbox fundamentally. This thematic issue is a collection of papers discussing case studies in the fields of digitization, optical character recognition, distant reading, text mining, network analysis, and historical geographical...

Detailed data on the distribution of human populations are valuable inputs to research and decision making. This study aims at compiling data on population density that are more granular than government-published estimates and assessing different methods and model specifications. As a first...

The popularity of econometric analyses that include variables obtained from text mining is growing rapidly. A frequently applied approach is to identify topics from large corpora, which makes it possible to determine trends that reflect the changing relevance of topics over time. We address the...