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Market Forecasting
Training
In City Of London ()
Description
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Type
Training
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Class hours
14h
This course guides delegates through series of methodologies, frameworks and algorithms which are useful when choosing how to predict the future based on historical data. It uses standard tools like Microsoft Excel or some simple Open Source programs. Suitable for: This course has been created for analysts, forecasters wanting to introduce or improve forecasting which can be related to sale forecasting, economic forecasting, technology forecasting, supply chain management and demand or supply forecasting. Good Excel or other spreadsheet knowledge and solid maths and statistics knowledge required.
About this course
Good Excel or other Spreadsheet knowledge Solid Maths and Statistics knowledge
Reviews
Subjects
- Excel
- Forecasting
- Market
- Supply
- Market Research
- Data Collection
- Simulation
- Planning
- Technology
- MS Excel
Course programme
Course review:
Problems facing forecasters
- Customer demand planning
- Investor uncertainty
- Economic planning
- Seasonal changes in demand/utilization
- Roles of risk and uncertaintiy
Time series methods
- Moving average
- Exponential smoothing
- Extrapolation
- Linear prediction
- Trend estimation
- Growth curve
Econometric methods (casual methods)
- Regression analysis using linear regression or non-linear regression
- Autoregressive moving average (ARMA)
- Autoregressive integrated moving average (ARIMA)
- Econometrics
Judgemental methods
- Composite forecasts
- Surveys
- Delphi method
- Scenario building
- Technology forecasting
- Forecast by analogy
Simulation and other methods
- Simulation
- Prediction market
- Probabilistic forecasting and Ensemble forecasting
- Reference class forecasting
Market Forecasting