DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks
arXiv:2602.03981v2 Announce Type: replace Abstract: Credit exposure in Decentralized Finance (DeFi) is often implicit and token-mediated, creating a dense web of inter-protocol dependencies. Thus, a shock to one token may result in significant and uncontrolled contagion effects. As the DeFi ecosystem becomes increasingly linked with traditional financial infrastructure through instruments, such as stablecoins, the risk posed by this dynamic demands more powerful quantification tools. We introduce DeXposure-FM, the first time-series, graph foundation model for measuring and forecasting inter-pr
The increasing integration of decentralized finance (DeFi) with traditional financial systems necessitates more sophisticated tools for risk assessment, especially as implicit credit exposures grow in complexity.
This development allows for more accurate measurement and forecasting of contagion risks within DeFi, critical for preventing systemic shocks as the sector matures and intertwines with broader financial markets.
The introduction of a 'time-series, graph foundation model' fundamentally changes how credit exposures and systemic stability are analyzed in decentralized networks, moving beyond existing, less integrated methods.
- · DeFi institutions with strong risk management
- · Financial regulators adopting advanced analytics
- · Investors in stable and transparent DeFi protocols
- · AI/ML research in financial modeling
- · DeFi protocols with opaque interdependencies
- · Traditional risk assessment models in DeFi
- · Retail investors exposed to undetected contagion cascades
Improved risk visibility and stress testing within the DeFi ecosystem will lead to more robust protocol designs.
Greater regulatory comfort and potentially specialized compliance frameworks could emerge, fostering wider institutional adoption of DeFi.
The development of similar AI foundation models might extend to other complex, interconnected economic systems, enabling 'early warning' systems for broader economic stability.
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Read at arXiv cs.LG