Virtual assets in non-bank financial institutions: A conceptual prudential compatibility index

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Type of the article: Theoretical Article

Abstract
Virtual assets are integrated into financial markets, but legal recognition and tradability do not determine whether an instrument can support regulated liabilities in non-bank financial institutions (NBFIs). This theoretical study develops the Conceptual Prudential Compatibility Index (CPCI) as an ordinal framework for prudential screening. It combines peer-reviewed research with primary-source analysis of the European Union, the United States, and Ukraine, using a regulatory cut-off date of August 4, 2026. To avoid unsupported precision, the CPCI does not assign scalar scores. It separates a core economic-prudential profile – liquidity, value stability, and predictability/valuation reliability – from a non-compensatory regulatory overlay, R(a, j, s, u), defined by instrument, jurisdiction, NBFI sector, and intended prudential use. Each dimension is classified through fixed documentary anchors as high, moderate, limited, very low, or insufficient evidence. Traditional reference archetypes show stronger core profiles than large-cap unbacked crypto-assets, with stress-sensitive liquidity and very low value stability and predictability. Fiat-backed stablecoins require separate assessment of redemption rights, reserve quality, and segregation. Tokenized securities and real-world claims require look-through assessment of the underlying asset and legal, custody, and operational risks. The regulatory comparison confirms that market regulation does not create reserve eligibility: MiCA is distinct from Solvency II and IORP rules; U.S. insurance accounting treats directly held crypto-assets as non-admitted under the cited NAIC guidance; and reviewed Ukrainian sectoral rules do not expressly identify virtual assets as eligible prudential assets. The CPCI is a documentary screening framework, not an externally validated quantitative risk model.

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    • Figure 1. Separation of market recognition from sector-specific prudential admissibility
    • Table 1. Operational CPCI dimensions and fixed documentary anchors
    • Table 2. CPCI ordinal classes and decision rules
    • Table 3. Primary-source regulatory matrix by jurisdiction, sector and prudential use
    • Table 4. Definitions and assumptions of the reference asset archetypes
    • Table 5. Documentary core profiles of selected reference archetypes
    • Table 6. Instrument-specific digital-asset assessment under the CPCI framework
    • Table A1. Anonymized profile of the internal framework-development team
    • Table A2. Detailed CPCI documentary checklist
    • Table A3. Selected source-to-assessment matrix
    • Table A4. Primary regulatory-source inventory
    • Conceptualization
      Zhanna Dryha, Oleksandr Levchenko, Oksana Polinkevych, Dymytrii Grytsyshen
    • Investigation
      Zhanna Dryha, Oleksandr Levchenko, Oksana Polinkevych, Dymytrii Grytsyshen, Liubomyr Kochubei, Oleksiy Domashenko
    • Supervision
      Zhanna Dryha, Oleksandr Levchenko, Oksana Polinkevych, Dymytrii Grytsyshen
    • Validation
      Zhanna Dryha, Oleksandr Levchenko, Oksana Polinkevych, Dymytrii Grytsyshen, Liubomyr Kochubei, Oleksiy Domashenko
    • Writing – original draft
      Zhanna Dryha, Oleksandr Levchenko, Oksana Polinkevych, Liubomyr Kochubei
    • Data curation
      Oleksandr Levchenko, Liubomyr Kochubei, Oleksiy Domashenko
    • Formal Analysis
      Oleksandr Levchenko, Dymytrii Grytsyshen, Liubomyr Kochubei, Oleksiy Domashenko
    • Methodology
      Oleksandr Levchenko, Oksana Polinkevych, Liubomyr Kochubei, Oleksiy Domashenko
    • Visualization
      Oleksandr Levchenko
    • Writing – review & editing
      Oleksandr Levchenko, Oksana Polinkevych, Dymytrii Grytsyshen, Liubomyr Kochubei, Oleksiy Domashenko
    • Project administration
      Oksana Polinkevych, Dymytrii Grytsyshen
    • Resources
      Dymytrii Grytsyshen, Liubomyr Kochubei, Oleksiy Domashenko