BAN430 Forecasting
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About
10 Practical forecasting issues
Practicle forecasting issues
Course overview
1 R and Rstudio
Installing R and Rstudio
Recap R
2 Time series basics
Time series basics
3 Adjustments and decomposition
Transformations and adjustments
Moving averages and Decomposition
Exercises
4 Time series features
Time series features
Features
Exploring Australian tourism example
Exercises
5 Forecasters toolbox
Forecasters toolbox
6 Judgemental forecast
Judgemental forecast
7 Regression models
Regression models
8 ARIMA models
ARIMA models
9 Volatility forecasting
ARCH models
GARCH models
Forecasting with GARCH
Forecasting volatility in R
10 Practical forecasting issues
Practicle forecasting issues
Workshops
tsibble, graphics and decomposition
Bergen traffic forecast
Electricity prices
Walmart’s Weekly Sales
Appendix
Data
References
10 Practical forecasting issues
Practicle forecasting issues
Practicle forecasting issues
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Forecasting volatility in R
tsibble, graphics and decomposition