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Economic Data

Polling - Reuters Polls

An overview of Polling - Reuters Polls 

  • Reuters Polls are surveys of expert opinion, offering views of what top forecasters in financial markets are thinking, traceable to a particular point in time.
  • Forecasters include economists and financial markets strategists from both sell- and buy-side, plus independent researchers and some academics.
  • Polling history of detailed forecasts and consensus estimates for 900+ economic indicators, foreign exchange, central bank interest rate policy, money market rates, and bond yields.

Key Facts 

  • Geographical coverage
    North America
    Central America
    South America
    Europe
    Asia
  • History
    From 1999
  • Data format
    CSV
    Delimited
    GZIP
    HTML
    JSON
    PDF
    Python
    Text
    User Interface
    XML
    Zip Archive
  • Delivery mechanism
    API
    Desktop
    Digital Files
    Excel
    FTP
    SFTP
  • Data frequency
    Continuous

Features & Benefits

What you get with Polling - Reuters Polls 

  • Historical consensus and detailed contributor forecasts available for many series.
  • Highest quality sample size covering both quantitative as well as qualitative aspects of polls (i.e. sentiment changes).
  • Reuters provides exclusive analysis of the data, calling out extreme views and flagging turning points when the consensus may not have moved.
  • Considered the market benchmark and often quoted in central bank policy documents and market research.
  • Our polling apps offer intuitive visual graphics of market expectations.
  • Snapshot approach to polls provides clean consensus and point-in-time analysis capability.
  • Contributors include top economists, buy/sell-side research analysts, strategists and research think-tanks who also provide insightful commentaries on forecasts. Consensus on probabilities of various outcomes for major central bank rate decisions.
  • Nimble and agile, with dedicated staff able to turn around a consensus on a change in expectations very quickly after key market events.

How it works

 Accessing the dataset

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