9
Quantitative Decision Making 7 th ed By Lapin and Whisler

Section 7.5: Forecasting Using Seasonal indices

  • Upload
    chipo

  • View
    57

  • Download
    0

Embed Size (px)

DESCRIPTION

Quantitative Decision Making 7 th ed By Lapin and Whisler. Section 7.5: Forecasting Using Seasonal indices. Recall: Classical Time Series Model. Y t = T t ·C t ·S t ·I t T t : The trend component C t : The cyclic component S t : The seasonal component I t : The irregular component. - PowerPoint PPT Presentation

Citation preview

Page 1: Section  7.5: Forecasting Using Seasonal indices

Quantitative Decision Making 7th edBy Lapin and Whisler

Page 2: Section  7.5: Forecasting Using Seasonal indices

Yt= Tt·Ct·St·It

Tt: The trend component

Ct: The cyclic component

St: The seasonal component

It: The irregular component

Page 3: Section  7.5: Forecasting Using Seasonal indices

1. Isolate trend and cyclical elements together.

2. Four-quarter moving averagestt

tt

ttttt ISCT

ISCT

AverageMoving

Y

Page 4: Section  7.5: Forecasting Using Seasonal indices

1. Add up the first four values in a time series, then divide by four.

2. Repeat this computation, but the initial quarter is dropped and the fifth is added.

3. Continue this process until you run out of new quarters.

Page 5: Section  7.5: Forecasting Using Seasonal indices

Year Quarter

Data Four Quarter Moving Average

1 1 75

2 60

=(75+60+54+59)/4 = 62

3 54

=(60+54+59+86)/4 = 64.75

4 59

=(54+59+86+65)/4 = 66

2 1 86

=(59+86+65+63)/4 = 68.25

2 65

=(86+65+63+80)/4 = 73.5

3 63

4 80

Page 6: Section  7.5: Forecasting Using Seasonal indices

Year Quarter

Data Four Quarter Moving Average/ Centered Moving Average

1 1 75

2 60

=(75+60+54+59)/4 = 62

3 54 =(62+64.75)/2 = 63.375

=(60+54+59+86)/4 = 64.75

4 59 =(64.75+66)/2 = 65.375

=(54+59+86+65)/4 = 66

2 1 86 =(66+68.25)/2 = 67.125

=(59+86+65+63)/4 = 68.25

2 65 =(68.25+73.5)/2 = 70.875

=(86+65+63+80)/4 = 73.5

3 63

4 80

Page 7: Section  7.5: Forecasting Using Seasonal indices

Year

Quarter

Data

Four Quarter Moving Average/ Centered Moving Average

Original as percentage of moving average

1 1 75

2 60

=(75+60+54+59)/4 = 62

3 54 =(62+64.75)/2 = 63.375 =(54/63.375) x 100 =85.21

=(60+54+59+86)/4 = 64.75

4 59 =(64.75+66)/2 = 65.375 =(59/65.375) x 100 = 90.25

=(54+59+86+65)/4 = 66

2 1 86 =(66+68.25)/2 = 67.125 =(86/67.125) x 100 = 128.12

=(59+86+65+63)/4 = 68.25

2 65 =(68.25+73.5)/2 = 70.875

=(65/70.875) x 100 = 91.71

=(86+65+63+80)/4 = 73.5

3 63

4 80

Page 8: Section  7.5: Forecasting Using Seasonal indices

Calculating Seasonal Indices

Year Quarter

1 2 3 4

1 ---- --- 85.21 90.25

2 128.12 91.71 85.13 106.14

3 117.45 92.75 85.13 104.29

4 117.99 92.03 --- ---

Median 117.99 92.03 85.13 104.29

Sum of Medians: 399.44 Seasonal Index = Median x (400/399.44)

Seasonal Indices

118.16 92.16 85.25 104.44

Page 9: Section  7.5: Forecasting Using Seasonal indices

Year

Quarter

Data

Four Quarter Moving Average/ Centered Moving Average

Original as percentage of moving average

Seasonal Indices

1 1 75 118.162 60 92.16

=(75+60+54+59)/4 = 62

3 54 =(62+64.75)/2 = 63.375 =(54/63.375) x 100 =85.21

85.25

=(60+54+59+86)/4 = 64.75

4 59 =(64.75+66)/2 = 65.375 =(59/65.375) x 100 = 90.25

104.44

=(54+59+86+65)/4 = 66

2 1 86 =(66+68.25)/2 = 67.125 =(86/67.125) x 100 = 128.12

118.16

=(59+86+65+63)/4 = 68.25

2 65 =(68.25+73.5)/2 = 70.875

=(65/70.875) x 100 = 91.71

92.16

=(86+65+63+80)/4 = 73.5

3 63 85.254 80 104.44