Fully linked corporate financials, consensus estimation, corporate guidance, corporate behavior adjusted and pricing point-in-time solutions for your specific quantitative analysis and backtesting needs.
Bloomberg today announced the launch of Company Financials, Estimates and Pricing Point-in-Time. This is a new service that connects and integrates extensive and diverse datasets from multiple sources, provides historical point-in-time data, and enables linking of legacy enterprises. Transform your data into more esoteric data, such as alternative data. This service aims to alleviate the challenges associated with accessing multiple data providers for the best research data and providing investors with the data and insights they need to gain a competitive edge. .
“Unlimited computing power, data-friendly programming languages, machine learning tools, advances in AI, and easy access to financial analytics have given investors vast and rich new sources of data. Managing the amount of data currently available and gleaning insights not yet discovered in the market has become a massive undertaking,” said Tony McManus, Global Head of Enterprise Data at Bloomberg. I am.
He added: “By proactively ingesting, mapping and linking disparate data sources together, Bloomberg enables our clients to significantly reduce the time needed to generate signals and insights. There is significant demand for fundamental, quantitative and quantitative company research, and this new point-in-time data product is part of a long-term investment we are making to build a deeply interconnected suite of company research products. It’s just a department.”
With this launch, Bloomberg addresses customers' need for differentiated, value-added data with macro information, as well as standardized company-level fundamentals, estimates, and industry-specific granularity. Masu. Company Financials, Quotes, and Price point-in-time data products enable customers to perform in-depth analysis on single companies as well as across companies to gain insight into key performance drivers for a company or sector. You can get
“A key element of Bloomberg's service is that it includes true historical point-in-time data, which is essential for accurate backtesting,” said Angana Jacob, head of research data at Enterprise Data. . “Without historical point-in-time data, models can overestimate returns due to survivor and lookahead bias.Bloomberg's new data solutions enable quantitative and research analysts to understand the performance of securities. We are excited to be able to provide this holistic view to institutional investors who need to derive differentiated market insights. there is.”
The main features of the new data offering are:
- Past point-in-time company performance, consensus estimates, company guidance, historical identifiers, and price data for 58,000 publicly traded companies
- Information clearly marked when company revisions and Bloomberg corrections are made to company performance
- A point-in-time universe that avoids survivorship and look-ahead bias by including all active and inactive companies.
- LTM (last 12 months) and industry-wide standardized reporting field selection
- Adjustments for related actual, estimate, and company guidance fields
- Calculate financial ratios daily and adjust as necessary
- Futures price, share, and volume adjustment factors to make adjustments related to corporate actions that affect past prices, volumes, and performance ratios.
- Revenue date and time stamp for each reported accounting period and the next period's revenue date
- Bloomberg's unique comparable fields align with consensus and company guidance forecasts, enabling accurate windfall analysis.
Company Financials, Estimates, and Pricing Point in Time requires new, higher-quality data and is willing to leverage advances in AI technology to find an edge in its investment process Quant The latest Bloomberg product tailored for customers.
Bloomberg's Enterprise Data Quant solution also includes Company Revenue Segmentation Data and Company Industry-Specific Fundamentals data products that provide broad company coverage and seamlessly integrate with other datasets, including alternative data, for actionable results. provides deep insight. Learn more about these solutions here.
About Bloomberg
Bloomberg is a global leader in business and financial information, providing trusted data, news and insights that bring transparency, efficiency and fairness to markets. The company helps connect communities of influence across the global financial ecosystem through reliable technology solutions that help customers make more informed decisions and foster better collaboration. Masu.
For more information, visit Bloomberg.com/company or request a demo.