Bloomberg Enables Scalable Crypto Asset Exposure Classification Under Basel Framework

New analytics aligned to the Basel Committee on Banking Supervision's prudential framework help clients consistently identify, classify and report crypto asset exposure at scale

NEW YORK, Oct. 22, 2026 /PRNewswire/ -- Bloomberg today announced that its Crypto Exposure Analytics now supports customers in assessing their compliance with the Basel Committee on Banking Supervision's (BCBS) prudential standards for banks' exposure to crypto assets and tokenized real-world assets. The solution incorporates enhanced data-driven classifications that enable clients to reliably identify and quantify crypto asset exposure in line with the BCBS framework across risk, compliance, and reporting workflows, without having to stitch together multiple datasets. Originally launched in 2025 to help investors track direct and indirect crypto asset exposures, the solution's expanded analytics help clients bridge the gap between exposure detection and Basel-aligned classification and reporting.

Navigating the BCBS Prudential Framework
As regulators begin implementing the BCBS framework for crypto assets, firms are facing growing pressure to consistently identify and classify crypto-related exposure across four categories: Group 1a, Group 1b, Group 2a, and Group 2b. A key challenge is that crypto exposure is often embedded within traditional instruments - including ETFs, mutual funds, equities, derivatives, and corporate bonds - rather than limited only to direct spot crypto holdings.

Bloomberg's Crypto Exposure Analytics has identified approximately 1,700 funds with potential relevance under the framework. Roughly half are funds where crypto exposure is not explicitly part of the stated investment strategy, underscoring the increasing need for scalable, transparent exposure classification and accurate exposure mapping to support capital treatment and regulatory reporting.

Mapping Exposure with Bloomberg's Solution
Bloomberg's Crypto Exposure Analytics utilizes Bloomberg's deep underlying datasets across asset classes to surface crypto asset exposure wherever it appears and apply classifications aligned to the BCBS categories. The solution covers 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.

"For Morgan Stanley, Bloomberg's Crypto Exposure Analytics provides an important differentiator, enabling us to not only identify crypto asset exposure through a robust look-through across funds and ETPs, but also classify our exposures in line with the BCBS prudential framework," said Steven Davis, Global Head of Equity and Listed Derivative Product Reference Data at Morgan Stanley. "The solution provides the exact transparency and classification capabilities needed to support regulatory compliance, risk oversight and disclosure under the framework, while also helping our institutional securities and wealth management divisions more efficiently identify crypto-related products for clients."

"For most firms, identifying their exposure to crypto assets is harder than it sounds," said Zane Van Dusen, Global Head of Risk & Investment Analytics Products at Bloomberg. "Crypto exposure can hide beneath layers of fund holdings, derivatives, and corporate balance sheets, making it difficult to identify and monitor consistently at scale. Many teams initially managed this through manually maintained watchlists and spreadsheets, but that approach is starting to crack as firms work to comply with new regulatory frameworks and prepare for the scrutiny that will follow. Bloomberg's enhanced Crypto Exposure Analytics gives clients a ready-to-deploy foundation for identifying, classifying, and monitoring crypto-related risk across regulatory, risk, and compliance workflows."

Rigorous Data Quality and Governance
Bloomberg applies a multi-layered quality and governance approach to maintain its Crypto Exposure Analytics, including the new BCBS classifications. Classifications are derived through a consistent rules-based process using Bloomberg reference data, securities coverage, fund holdings and company financial disclosures, and are reviewed regularly to account for market and regulatory developments. Each classification includes explainability fields that allow clients to review, validate and challenge results as part of their internal audit and governance processes.

Availability and Delivery
Bloomberg's Crypto Exposure Analytics is available via Bloomberg Data License at data.bloomberg.com and can be delivered via SFTP, REST API or into a cloud environment. To learn more, click here.

The same data analytics can also be used within the Security Worksheet {W} desktop solution on the Bloomberg Terminal via the {WSL CRYPTOEXPO } and {WSL CRYPTOETFS } worksheets, ensuring data consistency across both user and enterprise workflows.

Broader Digital Assets Roadmap
This announcement is part of Bloomberg's broader digital assets roadmap to support institutional clients as they navigate both traditional and next-generation financial systems. It follows Bloomberg's joint initiative with Kaiko to develop a pathway for Bloomberg Data License offerings to be accessed on-chain via Kaiko's infrastructure, and launch of a stablecoin dashboard on the Bloomberg Terminal, powered by data from Allium.

About Bloomberg
Bloomberg is a global leader in business and financial information, delivering data, news, and analytics to help decision-makers in the financial markets and beyond. Through its Enterprise Data business, Bloomberg provides high-quality, fit-for-purpose datasets that power research, risk management, and execution across the global financial ecosystem.

 

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SOURCE Bloomberg