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Moving_average

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posted:
10/26/2011
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"Prediction is very difficult, especially

if it's about the future."

--Nils Bohr, Nobel laureate in Physics

Forecasting using moving

average method









Course website: http://www.kf.vu.lt/~albud/progn/Portugal

1. Explaining the method

2. Using Excel: demonstration.

Forecasting a number of visitors

3. Assignments

Main idea of the method



The moving average uses the average of

a given number of the most recent

periods' value to forecast the value for

the next period.

Moving average smoothes down the

fluctuations in the data

Smoothing

Smoothing the data variation: a graphical presentation









Data Smoothed data



Moore smoothed data

Prerequisite data pattern



Moving average method is commonly

used when the pattern in the data does

not have periodical (seasonal or cyclic)

characteristics and is neither growing

nor declining rapidly.

Prerequisite data pattern: an

example

Horizontal (irregular variations)

A formula for the Moving

Average

If forecast for t period is denoted by Ft,

and the actual value of the time-series

was At-1 during period t-1, At-2 during

period t-2, etc., then n period simple

moving average is expressed as:





Ft=(At-1+At-2+...At-n)/n

For comparison: “not moving”

average



Month Number Average

of clients

January 50

February 30

March 20

April 30

May 32,5

(forecast)

Choosing the averaging period

The averaging period (value of n) must be

determined by the decision-maker. It is

important to try to select the best period to

use for the moving average.

As a general rule, the number of periods

used should relate to the amount of

random variability in the data.

Specifically, the bigger the moving average

period, the greater the random elements are

smoothed.

Calculation of a moving

average: an Example

Month Number Moving

of clients average

(2)

January 50

February 30

March 20 40

April 30 25

May 25

(forecast)

Calculation of errors: Example

Month Number of Moving Error Percentage

clients average error

(2) (MAPE)

January 50

February 30

March 20 40 -20 100

April 30 25 -5 17

May 25

(forecast)

Mean error 12,5 58,5

Forecasting with Excel

Forecasting a number of visitors of a small

library. Demonstration of the forecasting

procedure using MA method

Assignment 1. Repeating of the forecasting

procedure with the same data

Assignment 2. Repeating of the forecasting

procedure with the same data but using

different parameter (an interval 4).

Evaluation of MA

Advantage: very simple method.

Shortcomings:

Not applicable when trend exists,

No strict rule of choosing its parameter,

The new and the old data are treated in

the same way (while, in fact, the old

data should be treated as being less

signifficant).

Modification of Moving

Average method

Weighted Moving Average:

Simple moving average technique

assigns equal weights to each period of

historical data; the weighted moving

average technique assigns different

weights to historical data allowing the

model to respond quickly to any shift in

the series being studied.

End

Switch to Excel

Open the Workbook Moving_average.xls



Calculate Moving average using Excel

formulas or or Data Analysis ToolPak

Learning objectives

To learn how to compute moving

average manually and using Excel

To use moving average method in

forecasting

To calculate errors of forecasts



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