Forecasting Chap5

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							Forecasting

5. Advanced Forecasting
This is not covered in the Unit. However Makridakis et al. contains
some reading.

5.1 Box-Jenkins Models
Box-Jenkins ARIMA models provide a powerful approach to time
series analysis that pays especial attention to correlation between
observations. A detailed discussion is given in Makridakis et al.

The approach requires experience to use successfully and with
confidence. The interpretation of results using the Box-Jenkins
technique requires proper understanding of the stochastic processes
used to model the time series.

A large and careful study carried out by Makridakis seems to show
that very often, the simpler techniques described in this unit are just
as powerful. There is a good reason for this. The SES, LES and
Holt-Winter's Additive methods are equivalent to special (simple)
cases of ARIMA models. These simple models tend however to fit
many data sets quite well.

5.2 Judgemental Forecasting
Many companies make use of judgemental forecasting techniques
which rely on the knowledge of experienced employees and
managers. Often this type of forecasting is carried out within the
framework of fairly formal and regularly scheduled meetings.
Judgemental forecasting can be augmented by the kind of numerical
techniques discussed in this unit, and this combined approach has
much to commend it.

5.3 Scenario Building
Long term, strategic forecasting moves us into the area of scenario
building. This can be useful in allowing a much more long term
view to be taken of an organisation's aims objectives. Scenario
building thus takes a much broader view than the numerical
forecasting that has been the focus of this unit.

The idea of the approach is to look at a number of different
scenarios, ranging from best case to worst case situations, and to try
to ensure that the actions and strategy of the organisation are
sufficiently flexible and resilient to be take advantage of the most
likely scenarios, whilst at the same time being able to cope or
survive even the most extreme of the scenarios. A good approach is
to use the format of a SWOT analysis for structuring and analysing
the different scenarios.

						
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