IMD & IRD Awards 2022: Best data analytics provider—Bloomberg


By leveraging a wealth of reference, company and market data, Bloomberg produces innovative risk analytics to help its clients tackle increased unpredictability, quickly identify risks, and take appropriate action.

“In today’s highly volatile markets, it was important for us to adopt a robust solution that enabled full oversight of liquidity positions across our growing ETF products. As retail investment products in the region proliferate and become more sophisticated, regulators are signaling to fund managers that liquidity risk is an area they would like to watch more closely. Adopting Bloomberg’s LQA was an opportunity to comply with our reporting requirements by seamlessly integrating a trusted market-leading tool that provides greater reassurance for our regulators, portfolio managers and customers.”
David Lai, partner & co-CIO, Premia Partners


Bloomberg’s Derived Risk Data & Analytics suite includes: 

Liquidity Assessment (LQA): LQA uses a global database of trades, quotes, and pricing data to produce a data-driven evaluation of market liquidity across multiple asset classes. Financial models are calibrated daily to capture changing market conditions.

Market-Implied Probability of Default (MIPD): An early warning tool that leverages Bloomberg’s Evaluated Pricing (BVAL) data to distill market sentiment into a leading issuer-level and sector-level creditworthiness indicator 

Default Risk (DRSK) Data: This covers over 500,000 public and private issuers, providing an independent evaluation of a company’s credit health.

Fund ESG Analytics: A new solution that provides 77 consistent, objective, fund-level ESG metrics, allowing clients to compare funds 


LQA will expand to include empirical liquidity metrics based exclusively on observed trade data. This will provide added transparency and meet the growing front-office demand for recent trade data. Bloomberg will also launch a Fund Risk Analytics solution primarily focused on fixed-income risk measures. A Climate Risk assessment solution will enable clients to quantify both physical and transition risks (related to the shift to a greener economy). This simulates customizable climate scenarios and produces traditional risk measures, like default probabilities and impacts on valuation.


Bloomberg’s outstanding Derived Risk Data & Analytics suite is responsible for delivering the win for the data giant in this uber-competitive category. Risk mitigation and improving all around transparency is the platform’s sweet spot, and while it cannot eliminate risk, it does provide users with a snapshot of what is happening in the market at any given time, while also delivering actionable insights so they can make the most judicious business decisions.      

“Volatile market conditions, like we are experiencing in 2022, expose the limitations of traditional risk metrics, which identify issues after the fact, or are too rigid to adjust to unexpected events. While we cannot predict the future, our innovative risk analytics actively assess what is happening in the market and quantify that sentiment into actionable insights that enable our clients to be the first to know about emerging risks and opportunities.”
Zane Van Dusen, head of risk and investment analytics products, Bloomberg


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