We are an independent research initiative committed to providing transparent, rigorous analysis of systemic risks within the global financial system.
Arvenolyx was established to fill a gap in publicly accessible, jargon-free research on the systemic vulnerabilities that pose risks to global financial stability.
We believe that informed citizens, researchers, and policymakers benefit from clear, evidence-based analysis of financial system risks — without the filter of commercial interests or institutional constraints.
Our work draws on publicly available data from central banks, international financial institutions, academic research, and market sources. We apply rigorous analytical frameworks to synthesize this information into accessible research outputs.
Arvenolyx does not offer investment advice, financial services, or any paid products. All research and analysis published on this platform is provided freely for informational and educational purposes.
Every claim we publish is grounded in verifiable data, transparent methodology, and peer-reviewed frameworks. We prioritize accuracy over speed.
We have no commercial affiliations, no asset managers, banks, or government bodies funding or directing our research agenda. Our analysis reflects objective assessment.
We document our data sources, analytical assumptions, and methodological choices clearly so that readers can evaluate and critique our conclusions.
Financial risk analysis should not be confined to specialist audiences. We work to make complex concepts understandable without sacrificing substance.
Our research team combines expertise in macroeconomics, financial econometrics, regulatory policy, and quantitative risk modelling.
Former IMF economist with 18 years of experience in sovereign debt analysis and cross-border financial stability assessment.
Specialist in banking sector fragility and financial network analysis, with a background in econometric modelling at the European Central Bank.
Focuses on market liquidity risk and real-time systemic risk indicator construction, with expertise in statistical learning methods applied to financial data.
We follow a structured analytical process designed to ensure consistency, reproducibility, and intellectual honesty across all our research outputs.
We source data exclusively from primary and reputable secondary sources: central bank publications, BIS reports, IMF datasets, World Bank statistics, and academic databases. All figures are independently verified.
We apply established risk assessment frameworks including FSAP stress-testing methodologies, network contagion models, and macroprudential indicator systems to structure our analysis.
All analytical outputs undergo internal review and challenge by team members with differing specialisations before publication, to reduce cognitive bias and analytical blind spots.
Research is published with full methodological notes, source citations, and explicit statements of assumptions and limitations so readers can evaluate the analysis independently.
We welcome engagement from academic institutions, independent researchers, and policy organisations who share our commitment to financial stability research.
