New Bloomberg Analytics Help Investors Strategically Manage their Crypto Asset Exposure
Covering 80,000 individual securities and 37,000 funds and exchange traded products, Bloomberg's new analytics make it easy for investors to quickly quantify their exposure to cryptocurrencies
Crypto assets are increasingly embedded in products like ETFs, which can make it difficult for asset managers to quickly understand how much or how little crypto exposure they have embedded within their portfolios. This presents challenges for asset managers who must navigate a spectrum of investor preferences—from those eager to embrace crypto to those seeking to avoid it entirely. At the same time, banks also need to maintain robust oversight of their exposure levels to prevent over-concentration, just as they would with any other asset class.
"While it seems like a simple question, 'what is my exposure to cryptocurrencies', the answer is surprisingly difficult to find," said
How it Works
Bloomberg's Digital Asset Exposure Analytics aggregates Bloomberg's foundational security-level fund reference data and fundamentals data with Bloomberg's Company Revenue Segmentation Data Solution, then applies an automated rules engine to identify securities with exposure to crypto assets. Direct exposure is defined as instruments whose value is directly derived from one or more crypto assets, whereas indirect exposure is defined as a company that discloses operations or services in crypto-related sectors.
Utilizing Bloomberg's Funds Data Solution, these analytics go one step further by taking the underlying fund holdings data to calculate the market value weight of the direct and indirect exposures for funds and ETFs and publishing the constituents that contribute to these exposures. Bloomberg curates constituents and as-reported holdings data for over 110,000 unique portfolios, with more than 70% of them updated more frequently than regulatory requirements, and over 1 million mapped securities. This level of granularity is important because it allows asset managers to precisely adjust their portfolios to meet their crypto exposure criteria.
Use of these analytics can also be experienced with Bloomberg's Investor Protection regulatory data solution, which covers virtual assets such as crypto currencies, digital tokens and other digital commodities, to help clients comply with regulations such as Hong Kong SFC circular on distribution of virtual asset funds.
This type of automated analysis is possible given the depth, breadth and interoperability of Bloomberg's Enterprise Data content which is built using open-source identifiers, such as the Financial Instrument Global Identifier (FIGI), proprietary Bloomberg identifiers, and detailed metadata. Bloomberg's Digital Asset Exposure Analytics are available via Data License at data.bloomberg.com and can be delivered via SFTP,
About Bloomberg
Bloomberg is a global leader in business and financial information, delivering trusted data, news, and insights that bring transparency, efficiency, and fairness to markets. The company helps connect influential communities across the global financial ecosystem via reliable technology solutions that enable our customers to make more informed decisions and foster better collaboration. For more information, visit Bloomberg.com/company or request a demo.
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SOURCE Bloomberg
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