Anticipate the market impact of central bank language based on the historical relationship between a bank’s language and corresponding market activity.
Incorporate standardized scores that indicate a positive or negative outlook across multiple asset classes and time horizons.
Access analytics generated immediately after communications become available, including scores of official central bank statements and policymaker speeches, as well as metadata and analytics on individual policymakers.
Data Feed Details
Using a combination of natural language processing and machine learning, the Liquidnet IA Central Bank Sentiment data feed delivers comprehensive, unbiased, quantitative analysis of official communications from 15 central banks globally. Language is parsed and converted to quantitative data that allows investment professionals to forecast market outcomes. Data Frequency: Intraday; Update Frequency: Intraday.
Liquidnet is a technology-driven, global institutional investment network that intelligently connects the world’s investors to the world’s investments. Since our founding in 1999, our network has grown to include more than 1,000 institutional investors that collectively manage $33 trillion in equity and fixed income assets.