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[1] [4] In 1997, John Galt Solutions built its forecasting tool the ForecastX Wizard. [1] [4] In December 1998, ForecastX competed in the M3 Forecasting Competition, an academic forecasting accuracy competition sponsored by INSEAD (the European Institute of Business Administration), finishing in the top two positions in all categories. [4] [5] [6]
Predictive analytics is a set of business intelligence (BI) technologies that uncovers relationships and patterns within large volumes of data that can be used to predict behavior and events. Unlike other BI technologies, predictive analytics is forward-looking, using past events to anticipate the future. [3]
In financial analysis, high frequency data can be organized in differing time scales from minutes to years. [3] As high frequency data comes in a largely dis-aggregated form over a time-series compared to lower frequency methods of data collection, it contains various unique characteristics that alter the way the data are understood and analyzed.
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 ...
Demand forecasting plays an important role for businesses in different industries, particularly with regard to mitigating the risks associated with particular business activities. However, demand forecasting is known to be a challenging task for businesses due to the intricacies of analysis, specifically quantitative analysis. [ 4 ]
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]