This study empirically investigates the performance of Elastic Machine Learning, an industrial, unsupervised anomaly detection tool, in the identification of fraudulent behavior in banking transactions. Using AI-generated datasets that were designed to simulate realistic banking environments,...

Russia's isolation from global financial markets and government programmes to support bank lending initially fuelled a wartime lending boom in Russia. With economic growth now stalled and borrowing costs rising, lending growth has slowed. This shift, in conjunction with increased public sector...

We propose a quantitative framework to track systemic risk arising from cyber vulnerabilities of the U.S. financial system. Synthesizing financial, economic, cyber, and network data that covers thousands of financial institutions and technological firms, we develop an index that tracks...

This paper applies network analysis to examine the impact of non-bank financial institutions (NBFIs) and financial market stress on contagion risk within the interbank network. Using network-based simulations on euro area banks’ supervisory data, we find that banks’ strong capital and...

Palau’s financial system faces structural challenges that inhibit effective financial intermediation, mobilization of domestic savings, and payment system efficiency. The authorities have been striving to address these challenges through digital initiatives. While these initiatives are...