{"id":46967,"date":"2026-05-07T08:30:14","date_gmt":"2026-05-07T12:30:14","guid":{"rendered":"https:\/\/www.bloomberg.com\/company\/press\/bloomberg-introduces-point-in-time-economic-data-to-power-quantitative-research-and-strategy-development\/"},"modified":"2026-05-07T08:37:22","modified_gmt":"2026-05-07T12:37:22","slug":"bloomberg-introduces-point-in-time-economic-data-to-power-quantitative-research-and-strategy-development","status":"publish","type":"press","link":"https:\/\/www.bloomberg.com\/company\/press\/bloomberg-introduces-point-in-time-economic-data-to-power-quantitative-research-and-strategy-development\/","title":{"rendered":"Bloomberg Introduces Point-in-Time Economic Data to Power Quantitative Research and Strategy Development"},"content":{"rendered":"
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New enterprise dataset delivers time-stamped economic data, allowing clients to recreate market conditions and backtest quantitative strategies with greater accuracy<\/em><\/h2>\n

Bloomberg today announced the launch of its Economic Releases and Surveys Point-in-Time (PiT) dataset<\/strong>, expanding its Investment Research Data solutions for quantitative research and systematic investing workflows across the enterprise. The new dataset, available via Bloomberg Data License, provides access to over 3,000 curated market-moving economic indicators and government auction events across more than 100 economies, with historical, time-stamped observations extending back to 1997.<\/p>\n

In quantitative research, the ability to reconstruct historical market conditions accurately is essential. While macroeconomic data is a primary driver of asset returns, systematic use has historically been challenged by the need to track data revisions and the evolution of expectations. This new PiT dataset allows clients to see the information as it was available to market participants at the time of release, providing a consistent foundation for analyzing market responses across rates, FX, and equities.<\/p>\n

\u201cMacro strategies are fundamentally driven by expectation formation and the market\u2019s response to new information,\u201d said Angana Jacob, Global Head of Investment Research Data at Bloomberg<\/strong>. \u201cThis dataset enables clients to model that process in a point-in-time framework, capturing forecast updates, consensus evolution, and full revision histories. This provides a robust foundation for building macro signals and cross-asset models that are consistent from backtesting to live trading environments.\u201d<\/p>\n

Key Capabilities of the New PiT Dataset<\/strong><\/p>\n

The Economic Releases and Surveys PiT dataset delivers a comprehensive view of global macroeconomic information flow through three distinct components:<\/p>\n