(See Solution) The data in this table contains the Composite information over a five-year period. Data represents the composite data for a well-known mutual
Question: The data in this table contains the Composite information over a five-year period. Data represents the composite data for a well-known mutual fund index.
Use this data to evaluate which of four smoothing methods is the best (Use the MAD criterion), then perform a trend analysis and check for any quarterly seasonal pattern. Use Quarter 1 as the base in your additive model.
The Smoothing methods to consider are:
Moving Average of three: MA (3)
Moving Average of four: MA(4)
Exponential Smoothing Exp (w = 0.58)
Exponential Smoothing Exp (w = 0.78)
Use the information above to forecast year 7.
| Date: | Oct, 2008 | ||
| YEAR | QUARTER | Time | COMPOSITE |
| 1 | One | 1 | 3697 |
| Two | 2 | 3484 | |
| Three | 3 | 3553 | |
| Four | 4 | 3837 | |
| 2 | One | 5 | 4126 |
| Two | 6 | 3699 | |
| Three | 7 | 3742 | |
| Four | 8 | 4055 | |
| 3 | One | 9 | 4319 |
| Two | 10 | 3870 | |
| Three | 11 | 3996 | |
| Four | 12 | 4237 | |
| 4 | One | 13 | 4445 |
| Two | 14 | 4120 | |
| Three | 15 | 4264 | |
| Four | 16 | 4346 | |
| 5 | One | 17 | 4546 |
| Two | 18 | 4307 | |
| Three | 19 | 4444 | |
| Four | 20 | 4329 |
| Time | COMPOSITE | MA(3) - Forecast 1 | MA(4) - Forecast 2 | Exp(w = 0.58) - Forecast 3 | Exp(w = 0.78) - Forecast 4 | Abs. Error 1 | Abs. Error 2. | Abs. Error 3 | Abs. Error 4 |
| 1 | 3697 | 3697 | 3697 | 0 | 0 | ||||
| 2 | 3484 | 3697 | 3697 | 213 | 213 | ||||
| 3 | 3553 | 3573.46 | 3530.86 | 20.46 | 22.14 | ||||
| 4 | 3837 | 3578 | 3561.5932 | 3548.1292 | 259 | 275.4068 | 288.8708 | ||
| 5 | 4126 | 3624.666667 | 3642.75 | 3721.329144 | 3773.448424 | 501.3333 | 483.25 | 404.6709 | 352.5516 |
| 6 | 3699 | 3838.666667 | 3750 | 3956.03824 | 4048.438653 | 139.6667 | 51 | 257.0382 | 349.4387 |
| 7 | 3742 | 3887.333333 | 3803.75 | 3806.956061 | 3775.876504 | 145.3333 | 61.75 | 64.95606 | 33.8765 |
| 8 | 4055 | 3855.666667 | 3851 | 3769.281546 | 3749.452831 | 199.3333 | 204 | 285.7185 | 305.5472 |
| 9 | 4319 | 3832 | 3905.5 | 3934.998249 | 3987.779623 | 487 | 413.5 | 384.0018 | 331.2204 |
| 10 | 3870 | 4038.666667 | 3953.75 | 4157.719265 | 4246.131517 | 168.6667 | 83.75 | 287.7193 | 376.1315 |
| 11 | 3996 | 4081.333333 | 3996.5 | 3990.842091 | 3952.748934 | 85.33333 | 0.5 | 5.157909 | 43.25107 |
| 12 | 4237 | 4061.666667 | 4060 | 3993.833678 | 3986.484765 | 175.3333 | 177 | 243.1663 | 250.5152 |
| 13 | 4445 | 4034.333333 | 4105.5 | 4134.870145 | 4181.886648 | 410.6667 | 339.5 | 310.1299 | 263.1134 |
| 14 | 4120 | 4226 | 4137 | 4314.745461 | 4387.115063 | 106 | 17 | 194.7455 | 267.1151 |
| 15 | 4264 | 4267.333333 | 4199.5 | 4201.793094 | 4178.765314 | 3.333333 | 64.5 | 62.20691 | 85.23469 |
| 16 | 4346 | 4276.333333 | 4266.5 | 4237.873099 | 4245.248369 | 69.66667 | 79.5 | 108.1269 | 100.7516 |
| 17 | 4546 | 4243.333333 | 4293.75 | 4300.586702 | 4323.834641 | 302.6667 | 252.25 | 245.4133 | 222.1654 |
| 18 | 4307 | 4385.333333 | 4319 | 4442.926415 | 4497.123621 | 78.33333 | 12 | 135.9264 | 190.1236 |
| 19 | 4444 | 4399.666667 | 4365.75 | 4364.089094 | 4348.827197 | 44.33333 | 78.25 | 79.91091 | 95.1728 |
| 20 | 4329 | 4432.333333 | 4410.75 | 4410.43742 | 4423.061983 | 103.3333 | 81.75 | 81.43742 | 94.06198 |
| MAD = | 192.902 | 149.9688 | 182.9596 | 194.2141 |
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