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Mapping Microscopic and Systemic Risks in TradFi and DeFi: a literature review

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arxiv 2508.12007 v1 pith:BQEG4IYY submitted 2025-08-16 q-fin.RM econ.GNq-fin.ECq-fin.GN

classification q-fin.RMecon.GNq-fin.ECq-fin.GN
keywords defiriskstradfisystemicliquidityacrossconceptualcrises
verification ladder T0 review T1 audit T2 compute T3 formal
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This work explores the formation and propagation of systemic risks across traditional finance (TradFi) and decentralized finance (DeFi), offering a comparative framework that bridges these two increasingly interconnected ecosystems. We propose a conceptual model for systemic risk formation in TradFi, grounded in well-established mechanisms such as leverage cycles, liquidity crises, and interconnected institutional exposures. Extending this analysis to DeFi, we identify unique structural and technological characteristics - such as composability, smart contract vulnerabilities, and algorithm-driven mechanisms - that shape the emergence and transmission of risks within decentralized systems. Through a conceptual mapping, we highlight risks with similar foundations (e.g., trading vulnerabilities, liquidity shocks), while emphasizing how these risks manifest and propagate differently due to the contrasting architectures of TradFi and DeFi. Furthermore, we introduce the concept of crosstagion, a bidirectional process where instability in DeFi can spill over into TradFi, and vice versa. We illustrate how disruptions such as liquidity crises, regulatory actions, or political developments can cascade across these systems, leveraging their growing interdependence. By analyzing this mutual dynamics, we highlight the importance of understanding systemic risks not only within TradFi and DeFi individually, but also at their intersection. Our findings contribute to the evolving discourse on risk management in a hybrid financial ecosystem, offering insights for policymakers, regulators, and financial stakeholders navigating this complex landscape.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. DeXposure-FM: A Time-series, Graph Foundation Model for Credit Exposures and Stability on Decentralized Financial Networks

    cs.LG 2026-02 conditional novelty 6.0 of 10

    A fine-tuned GraphPFN foundation model forecasts DeFi exposure networks and stress-test losses, beating learned baselines everywhere and persistence on link statistics, though not on average stress-test error.

  2. The Extremity Premium: Sentiment Regimes and Adverse Selection in Cryptocurrency Markets

    q-fin.ST 2026-02 reject novelty 5.0 of 10

    Extreme sentiment regimes show higher estimated spreads and uncertainty than neutral ones in Bitcoin data, but the effect is sensitive to controls and overlaps mechanically with volatility.

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