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  2. John Galt Solutions - Wikipedia

    en.wikipedia.org/wiki/John_Galt_Solutions

    John Galt Solutions is a privately held software company that provides forecasting and supply chain planning for mid-market companies. [1] [2]Founded in 1996 and headquartered in Chicago, they claim more than 6,000 customers worldwide use John Galt Solutions products every day.

  3. Journal of Business Forecasting - Wikipedia

    en.wikipedia.org/.../Journal_of_Business_Forecasting

    The Journal of Business Forecasting is a quarterly peer-reviewed academic journal covering business forecasting that is published by the Institute of Business Forecasting & Planning. [1] [2] It was established in 1982. [3]

  4. Tracking signal - Wikipedia

    en.wikipedia.org/wiki/Tracking_signal

    The tracking signal is then used as the value of the smoothing constant for the next forecast. The idea is that when the tracking signal is large, it suggests that the time series has undergone a shift; a larger value of the smoothing constant should be more responsive to a sudden shift in the underlying signal. [3]

  5. Stock market prediction - Wikipedia

    en.wikipedia.org/wiki/Stock_market_prediction

    Technical analysis is an analysis methodology for analysing and forecasting the direction of prices through the study of past market data, primarily price and volume. The efficacy of technical analysis is disputed by the efficient-market hypothesis , which states that stock market prices are essentially unpredictable, [ 5 ] and research on ...

  6. Collaborative planning, forecasting, and replenishment

    en.wikipedia.org/wiki/Collaborative_Planning...

    The Open Source initiative was originally called CFAR (pronounced See-Far, for Collaborative Forecasting and Replenishment). According to an October 21, 1996 Business Week article entitled Clearing the Cobwebs from the Stockroom, New Internet software may make forecasting a snap , "Benchmarking developed CFAR with funding from Wal-Mart , IBM ...

  7. Financial forecast - Wikipedia

    en.wikipedia.org/wiki/Financial_forecast

    In general, this literature shows that analysts do not produce better forecasts than simple forecasting models. [3] [4] (Additional to the above outline, for financial forecasts, analysts often also use specific financial historical information, such as the 52-week high of stock prices, to augment their analysis of stock prices. [5])

  8. Survey of Professional Forecasters - Wikipedia

    en.wikipedia.org/wiki/Survey_of_Professional...

    A 1997 analysis of density forecasts of inflation made in the SPF finds: "The probability of a large negative inflation shock is generally overestimated, and in more recent years the probability of a large shock of either sign is overestimated. Inflation surprises are serially correlated, although agents eventually adapt.

  9. Forecast period (finance) - Wikipedia

    en.wikipedia.org/wiki/Forecast_period_(finance)

    The number of forecasting years is therefore to be limited by the "meaningfulness" of the individual yearly cash flows ahead. Addressing this, there are three typical methods of determining the forecast period. Based on company positioning: The forecast period corresponds to the years where an excess return is achievable.