Key Takeaways
- • Bloomberg announced on October 22, 2026 that its Crypto Exposure Analytics now supports client compliance with the Basel Committee on Banking Supervision's prudential standards for bank exposures to crypto assets and tokenized real-world assets.
- • The analytics classify exposures across the BCBS categories Group 1a, Group 1b, Group 2a, and Group 2b, addressing the difficulty of identifying crypto exposure embedded in ETFs, mutual funds, equities, derivatives, and corporate bonds.
- • Bloomberg's analytics have identified approximately 1,700 funds with potential relevance under the framework, roughly half of which do not explicitly include crypto exposure in their stated strategy.
- • Morgan Stanley's Global Head of Equity and Listed Derivative Product Reference Data, Steven Davis, said the solution supports regulatory compliance, risk oversight and disclosure under the framework.
- • The product is available through Bloomberg Data License and the Bloomberg Terminal, using rules-based classifications with explainability fields for audit and governance.
Summary
Bloomberg has expanded its Crypto Exposure Analytics to help institutions assess compliance with the Basel Committee on Banking Supervision's (BCBS) prudential standards for banks' exposure to crypto assets and tokenized real-world assets, according to a PR Newswire release dated October 22, 2026. The solution, originally launched in 2025 to help investors track direct and indirect crypto exposures, now includes enhanced data-driven classifications intended to let clients identify and quantify crypto asset exposure in line with the BCBS framework across risk, compliance and reporting workflows.
As regulators begin implementing the BCBS framework, firms face growing pressure to consistently identify and classify crypto-related exposure across four categories: Group 1a, Group 1b, Group 2a and Group 2b. Bloomberg highlights that crypto exposure is often embedded in traditional instruments, including ETFs, mutual funds, equities, derivatives and corporate bonds, rather than limited to direct spot holdings. Bloomberg's analytics have identified approximately 1,700 funds with potential relevance under the framework, and roughly half of these are funds where crypto exposure is not explicitly part of the stated investment strategy.
The analytics draw on Bloomberg's underlying datasets across asset classes, covering 110 spot tickers and currency pairs, 950 listed futures contracts, 320,000 listed options contracts, 670 index tickers, 600 unique company tickers, 280 government and corporate bonds, and 125,000 unique fund tickers. Classifications are derived through a rules-based process using Bloomberg reference data, securities coverage, fund holdings and company financial disclosures, and are reviewed regularly. Each classification includes explainability fields to support client internal audit and governance processes.
Morgan Stanley's Steven Davis, Global Head of Equity and Listed Derivative Product Reference Data, said the solution provides a differentiator through look-through analysis across funds and ETPs and supports classification in line with the BCBS framework. Zane Van Dusen, Global Head of Risk & Investment Analytics Products at Bloomberg, said crypto exposure can be hidden beneath layers of fund holdings, derivatives and corporate balance sheets, and that manually maintained watchlists and spreadsheets are becoming inadequate.
The analytics are available via Bloomberg Data License and can be delivered by SFTP, REST API or into a cloud environment. The same data is accessible on the Bloomberg Terminal through the Security Worksheet {W<GO>} and the {WSL CRYPTOEXPO <GO>} and {WSL CRYPTOETFS <GO>} worksheets. The announcement is part of Bloomberg's broader digital assets roadmap, which includes a joint initiative with Kaiko for on-chain access to Bloomberg Data License offerings and a stablecoin dashboard on the Terminal powered by Allium data.
As regulators begin implementing the BCBS framework, firms face growing pressure to consistently identify and classify crypto-related exposure across four categories: Group 1a, Group 1b, Group 2a and Group 2b. Bloomberg highlights that crypto exposure is often embedded in traditional instruments, including ETFs, mutual funds, equities, derivatives and corporate bonds, rather than limited to direct spot holdings. Bloomberg's analytics have identified approximately 1,700 funds with potential relevance under the framework, and roughly half of these are funds where crypto exposure is not explicitly part of the stated investment strategy.
The analytics draw on Bloomberg's underlying datasets across asset classes, covering 110 spot tickers and currency pairs, 950 listed futures contracts, 320,000 listed options contracts, 670 index tickers, 600 unique company tickers, 280 government and corporate bonds, and 125,000 unique fund tickers. Classifications are derived through a rules-based process using Bloomberg reference data, securities coverage, fund holdings and company financial disclosures, and are reviewed regularly. Each classification includes explainability fields to support client internal audit and governance processes.
Morgan Stanley's Steven Davis, Global Head of Equity and Listed Derivative Product Reference Data, said the solution provides a differentiator through look-through analysis across funds and ETPs and supports classification in line with the BCBS framework. Zane Van Dusen, Global Head of Risk & Investment Analytics Products at Bloomberg, said crypto exposure can be hidden beneath layers of fund holdings, derivatives and corporate balance sheets, and that manually maintained watchlists and spreadsheets are becoming inadequate.
The analytics are available via Bloomberg Data License and can be delivered by SFTP, REST API or into a cloud environment. The same data is accessible on the Bloomberg Terminal through the Security Worksheet {W<GO>} and the {WSL CRYPTOEXPO <GO>} and {WSL CRYPTOETFS <GO>} worksheets. The announcement is part of Bloomberg's broader digital assets roadmap, which includes a joint initiative with Kaiko for on-chain access to Bloomberg Data License offerings and a stablecoin dashboard on the Terminal powered by Allium data.
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