Operationalising FinTech-Related Systemic Risks: An Evidence-Mapped Macroprudential Integration Framework (FMIF)

Digital finance is reshaping financial intermediation through platform-based credit, stablecoin-based payment and settlement arrangements, and a rapidly deepening reliance on critical third-party technology providers. Existing international frameworks identify many of these vulnerabilities, but macroprudential authorities still lack a traceable operational bridge from FinTech activities to systemic-risk channels, measurable indicators, stress-test assumptions and staged policy escalation. This article proposes the FinTech Macroprudential Integration Framework (FMIF) as an evidence-mapped operationalisation layer for existing macroprudential regimes. The FMIF does not claim to replace the frameworks issued by the FSB, BIS, IMF, BCBS, the EU or cyber-resilience authorities; instead, it translates their risk taxonomies and policy insights into a structured workflow linking activity perimeter, dependency registry, indicator formulas, modular stress tests and governance interfaces. The framework is developed for three activity clusters: platform credit and bank–FinTech partnerships; stablecoin-based payment and settlement; and critical third-party technology dependencies. These clusters are mapped to three channels: liquidity/run dynamics, interconnectedness and market spillovers, and operational concentration/correlated disruption. The article contributes by clarifying the research gap, disclosing the evidence-mapping procedure and source-level coding, classifying evidence quality, specifying indicator formulas and calibration principles, adding a stablecoin-run illustrative application, and discussing legal and institutional feasibility. The FMIF should be understood as a decision-support and decision-preparedness framework rather than as a fully validated decision-ready model. Empirical validation, jurisdiction-specific thresholds and legal triggers remain necessary next steps.