The following data-series refers to a company's revenue.
Year | Revenue |
1 | 1016 |
2 | 921 |
3 | 934 |
4 | 976 |
5 | 930 |
6 | 1052 |
7 | 1184 |
8 | 1089 |
9 | 1087 |
10 | 1154 |
11 | 1330 |
12 | 1980 |
13 | 2223 |
14 | 2203 |
15 | 2514 |
16 | 2726 |
17 | 3185 |
18 | 3351 |
19 | 3438 |
Use Simple Exponential Smoothing, with an alpha of 0.76 and an initial level value of 1583 to forecast values for the next 10 years after Year 19.
Please create and upload your answers in an Excel file with formulas visible.
Let shows the actual value for year t and shows the forecasted value of year t. So exponential smoothing forecast formula is
Following table shows the forecasted value using exponential smoothing:
Year | Revenue | Forecast | Formula |
1 | 1016 | 1583 | 1583 |
2 | 921 | 1152.08 | =(0.76*B2)+(0.24*C2) |
3 | 934 | 976.4592 | =(0.76*B3)+(0.24*C3) |
4 | 976 | 944.190208 | =(0.76*B4)+(0.24*C4) |
5 | 930 | 968.3656499 | =(0.76*B5)+(0.24*C5) |
6 | 1052 | 939.207756 | =(0.76*B6)+(0.24*C6) |
7 | 1184 | 1024.929861 | =(0.76*B7)+(0.24*C7) |
8 | 1089 | 1145.823167 | =(0.76*B8)+(0.24*C8) |
9 | 1087 | 1102.63756 | =(0.76*B9)+(0.24*C9) |
10 | 1154 | 1090.753014 | =(0.76*B10)+(0.24*C10) |
11 | 1330 | 1138.820723 | =(0.76*B11)+(0.24*C11) |
12 | 1980 | 1284.116974 | =(0.76*B12)+(0.24*C12) |
13 | 2223 | 1812.988074 | =(0.76*B13)+(0.24*C13) |
14 | 2203 | 2124.597138 | =(0.76*B14)+(0.24*C14) |
15 | 2514 | 2184.183313 | =(0.76*B15)+(0.24*C15) |
16 | 2726 | 2434.843995 | =(0.76*B16)+(0.24*C16) |
17 | 3185 | 2656.122559 | =(0.76*B17)+(0.24*C17) |
18 | 3351 | 3058.069414 | =(0.76*B18)+(0.24*C18) |
19 | 3438 | 3280.696659 | =(0.76*B19)+(0.24*C19) |
20 | 3400.247198 | =(0.76*B20)+(0.24*C20) |
The forecast for year 20 is: 3400.25
Following is the screen shot of excel
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