Bloomberg Launches Digital Asset Exposure Analytics for Enhanced Transparency

Bloomberg's Digital Asset Exposure Analytics provide automated transparency into crypto exposure portfolios, funds, and securities that significantly aids in Enterprise Asset Management.

The Digital Asset Exposure Analytics is a state-of-the-art program developed by Bloomberg to increase transparency about cryptocurrencies across such asset classes as spot currencies, futures, options, and equity tickers. This enterprise-wide solution assists banks and asset managers with the automated assessment of their direct and indirect exposure to crypto assets.

The rise of crypto-embedded financial products for instance, ETFs makes the situation much harder for asset managers in gauging their portfolios' exposures accurately. Bloomberg analytics draws from security level fund data, company revenue segmentation, and fund holdings to gauge exposure levels. This helps companies woo preferences from investors while satisfying their obligations to regulators.

Banks which are required to manage exposure risks across multiple asset classes can utilize Bloomberg Enterprise Asset Management to deliver high levels of surveillance. The analytics use an automated rule engine and interoperable data sets for tracking over 110,000 portfolios and 1-million mapped securities, which provide the granularity simply not available elsewhere.

Moreover, Bloomberg further link its solution to regulatory compliance tools aiding firms to meet investor protection guidelines, such as the one from Hong Kong's SFC. Cyber Asset Management rules thus enable the firm to better realign its portfolio along compliance and risk mitigation in the transitional digital assets environment.

With increasing forays into crypto assets, this new innovation by Bloomberg bolsters the Enterprise Asset Management framework for financial soundness and soundness in decision-making.