Amidst the escalating geopolitical fragmentation of the global financial system, divergent stablecoin architectures are emerging. This study employs Qualitative Comparative Analysis (QCA) and introduces a formalized 'Geopolitical Stablecoin' (GPSC) model to conduct a systematic comparison of...

This paper investigates tail-risk transmission and asymmetric dependence in commodity markets using an asymmetric fuzzy vine copula framework applied to gold, crude oil, natural gas, and silver from 1 January 2015 to 1 January 2025, extracted from Yahoo Finance. Bootstrap-based trapezoidal fuzzy...

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...

Financial risk early warning systems are essential for proactive risk management in volatile markets, particularly for emerging economies such as China. This study develops a hybrid deep learning model integrating Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM), and Gated...

This paper investigates how monetary and ESG-related risks-especially those stemming from asymmetric policy transmission across Eurozone economies-have evolved over time, with a focus on the post-COVID-19 era. Using a mixed-method bibliometric analysis of 216 peer-reviewed articles (1996-2025),...

Central clearing counterparties (CCPs) manage counterparty risk by requiring clearing members to post margins. This paper explores the role of margins as "canaries in the coal mine:" By inducing defaults of fragile counterparties before contract maturity, margin calls enable CCPs to transfer...