Question 15.6: Valley Estates Quarterly House Sales Study Refer to the quar......

Valley Estates Quarterly House Sales Study

Refer to the quarterly house sales data in Table 15.7 (reproduced in Table 15.9). The sales director of Valley Estates would like to identify the impact of quarterly seasonal influences on house sales.

Management Question

Calculate the quarterly seasonal indexes for the house sales data and interpret the results for the sales director of Valley Estates.

Table 15.7 Quarterly house sales by Valley Estates (2008–2011)

Quarter 2008 2009 2010 2011
Q1 45 55 49 60
Q2 58 61 55 64
Q3 94 87 95 99
Q4 70 66 74 80

Table 15.9 Quarterly house sales by Valley Estates (2008–2011)

Quarter 2008 2009 2010 2011
Q1 54 55 49 60
Q2 58 61 55 64
Q3 94 87 95 99
Q4 70 66 74 80
Step-by-Step
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The four-step process to calculate the seasonal indexes is shown in Table 15.10 (steps 1 and 2), Table 15.11 (Step 3) and Table 15.12 (Step 4) respectively. Since the time series data given (house sales) is quarterly, a four-period term (k = 4) is chosen to smooth out short-term seasonal and irregular variations (since four periods span a year).

Table 15.11 shows the averaging of the seasonal ratios (Step 3) using the median as a central location measure to derive the median seasonal indexes for each quarter.

These median seasonal indexes are also called unadjusted seasonal indexes.

Finally, Table 15.12 adjusts each median seasonal index to a base of 100 (Step 4).

Management Interpretation

Each (adjusted) seasonal index measures the average magnitude of the seasonal influence on the actual values of the time series for a given period within the year. By subtracting the base index of 100 (which represents the trend/cyclical component) from each seasonal index, the extent of the influence of seasonal forces can be gauged.
For Example 15.6, the following interpretation applies:

  • In quarter 1 of each year, the seasonal index of 79.1 means that, on average, Valley Estates house sales are depressed by the presence of seasonal forces by approximately 21%. Alternatively stated, house sales would be about 26% higher (\frac{21}{79}\times 100 ) had seasonal influences not been present.
  • Quarter 2’s interpretation is similar to that of quarter 1, since the seasonal index is also below 100, namely 84.8.
  • In quarter 3 of each year, the seasonal index of 135.2 means that, on average, Valley Estates house sales are stimulated by the presence of seasonal forces to the extent of approximately 35%. Alternatively stated, house sales would be about 35% lower had seasonal influences not been present.
  • In quarter 4 of each year, seasonal influence is negligible, as the seasonal index of 100.9 is almost equal to its base index of 100, which contains only trend and cyclical measurements. Seasonal influences account for less than 1% of Valley Estates’ house sales, y, on average, in quarter 4.

Table 15.10 Valley Estates house sales study – calculation of seasonal ratios (steps 1 and 2)

Period House sales (y)  Uncentred four-quarter moving total Centred (2 × 4) quarter moving total Four quarter moving average Seasonal ratios
2008 Q1 54
Q2 58
Q3 94 276 553 69.125 135.99
Q4 70 277 557 69.625 100.54
2009 Q1 55 280 553 69.125 79.57
Q2 61 273 542 67.750 90.04
Q3 87 269 532 66.500 130.83
Q4 66 263 520 65.000 101.54
2010 Q1 49 257 522 65.250 75.10
Q2 55 265 538 67.250 81.78
Q3 95 284 557 69.625 136.45
Q4 74 293 577 72.125 102.6
2011 Q1 60 297 590 73.750 81.36
Q2 64 303 600 75.000 85.33
Q3 99
Q4 80

Table 15.11 Valley Estate house sales – median seasonal indexes (Step 3)

Year Quarter 1 Quarter 2 Quarter 3 Quarter 4 Total
2008 135.99 100.54
2009 79.57 90.04 130.83 101.54
2010 75.1 81.78 136.45 102.6
2011 81.36 85.33
Median seasonal index 79.57 85.33 135.99 101.54 402.43

Table 15.12 Valley Estate house sales – adjusted seasonal indexes (Step 4)

Adjustment factor = \frac{400}{402.43} = 0.994

Period Median seasonal index Adjustment factor Adjusted seasonal index
Quarter 1 79.57 0.994 79.1
Quarter 2 85.33 0.994 84.8
Quarter 3 135.99 0.994 135.2
Quarter 4 101.54 0.994 100.9
Total 402.43 400

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