StarMine Awards for Most Accurate Forecasters in Reuters Polls

Reuters Polls are surveys of expert opinion, offering views of what top forecasters in the financial markets are thinking, traceable to a particular reporting period.

Forecasters include economists, financial market analysts/strategists and researchers from both the buy-side and the sell-side.

Polling time-series data is available for both consensus estimates and individual polling contributor data, covering over 2,200 indicators - including polls for economic indicators (both short-term and long-term), foreign exchange, central bank interest rates, commodity indicators, money market rates and bond yields, global stock markets, house price inflation and asset allocation.

StarMine provides unique value-added analytics and predictive financial modelling,  designed to improve investment and trading decisions, and to help manage risk.

Grounded in sound economic intuition and backed by rigorous analysis, the StarMine SmartEconomics model provides a SmartEconomics Forecast for Reuters Polls to help achieve higher returns.

The period-by-period, first release nature of the Reuters Polls data allows the StarMine SmartEconomics model to generate the SmartEconomics Forecast, by weighting individual polling contributor forecasts more highly if they have a track record of higher relative forecast accuracy. 

The SmartEconomics Forecast is thus a weighted average of the Reuters Poll and predicts the possibility and direction of an economic surprise in relation to the consensus forecast, with a 61% accuracy rate.