Supervisory data are typically not conceived for statistical purposes or considered "official statistics", but they are disclosed to the public, either directly by the supervised institutions or indirectly by the competent authorities. This disclosure is required under Pillar 3 of the Basel...

Digital twin technology is becoming important for the realization of Industry 4.0 using cyber-physical systems (CPS) and information technology. CPS form the backbone to support the creation of a network for decentralized and autonomous decision-making. The design principles for Industry 4.0...

Accounting fraud poses significant financial and reputational risks for organizations. Traditional detection methods - such as manual audits and red-flag indicators - struggle to keep pace with the growing volume and complexity of financial data. In contrast, artificial intelligence...

The EU's Statistics on Income and Living Conditions (EU-SILC), launched in 2003, was the first micro-level data set to provide comprehensive data on incomes and other social and economic domains over the enlarged EU. This paper draws on two programmes of research to ask how well the EU-SILC has...

A number of empirical analyses of interbank lending rely on indirect inferences from individual interbank transactions extracted from payments data using algorithms. In this paper, we conduct an evaluation to assess the ability of identifying overnight U.S. fed funds activity from Fedwire®...