{"id":35246,"date":"2024-04-09T08:30:05","date_gmt":"2024-04-09T12:30:05","guid":{"rendered":"https:\/\/www.bloomberg.com\/company\/press\/bloomberg-launches-point-in-time-data-solution-that-gives-quants-a-competitive-edge\/"},"modified":"2024-04-09T08:30:05","modified_gmt":"2024-04-09T12:30:05","slug":"bloomberg-launches-point-in-time-data-solution-that-gives-quants-a-competitive-edge","status":"publish","type":"press","link":"https:\/\/www.bloomberg.com\/company\/press\/bloomberg-launches-point-in-time-data-solution-that-gives-quants-a-competitive-edge\/","title":{"rendered":"Bloomberg Launches Point-in-Time Data Solution that Gives Quants a Competitive Edge"},"content":{"rendered":"
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A fully linked Company Financials, Consensus Estimates, Company Guidance, Corporate Action Adjusted and Pricing Point-in-Time solution to address the specific needs of quantitative analysis and backtesting<\/em><\/h3>\n

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Bloomberg today announced the launch of Company Financials, Estimates and Pricing Point-in-Time<\/a>, a new offering that connects and integrates a broad, diverse range of datasets from multiple sources, provides historical point-in-time data and will enable linking traditional company data to more esoteric data like alternative data. The offering aims to reduce challenges associated with going to multiple data providers for the best research data and equipping investors with the data and insights they need to get a competitive edge.<\/p>\n

\u201cInfinite computing power, data-friendly programming languages, machine learning tools, advances in AI and easy access to financial analytics has unlocked a vast and abundant set of new data sources for investors. Managing the amount of data that is available today \u2014 and gleaning insights not already discovered by the market \u2014 has become a massive undertaking,\u201d said Tony McManus, Global Head of Enterprise Data at Bloomberg.<\/p>\n

He added: \u201cBy pre-ingesting, mapping and linking many different data sources together, Bloomberg allows customers to significantly reduce the time needed to generate signals or insights. There is a significant demand for fundamental, quantamental and quantitative company research, and this new point-in-time data product is just part of the long-term investment we\u2019re making to build out a deep, interconnected suite of company research products.\u201d<\/p>\n

With this launch, Bloomberg is responding to customers\u2019 need for differentiated, value-adding data with standardized company-level fundamentals, estimates and deep industry-specific metrics, alongside macro information. The Company Financials, Estimates and Pricing Point-in-Time data product empowers customers to perform deep single company as well cross-company analysis, deriving insights into the key performance drivers of a company or a sector.<\/p>\n

\u201cA critical component of Bloomberg\u2019s offering is its inclusion of true, historical point-in-time data, which is essential for accurate backtesting,\u201d said Angana Jacob, Head of Research Data, Enterprise Data. \u201cWithout historical point-in-time data, models can overestimate returns due to survivorship bias and look ahead bias. What sets Bloomberg\u2019s new data solution apart is that it empowers quants and research analysts with the insights they need to build accurate models that allow them to forecast as precisely as possible a security\u2019s performance, and we are thrilled to provide institutional investors with this full picture they need to derive differentiated market insights.\u201d<\/p>\n

Key features of the new data offering include:<\/p>\n