Hierarchy
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Basic Data
| Data Element | UPF_Y_TREND_DAMPENING |
| Short Description | Trend Dampening Factor |
Data Type
| Category of Dictionary Type | Direct Type Entry | |
| Type of Object Referenced | No Information | |
| Domain / Name of Reference Type | ||
| Data Type | DEC | Counter or amount field with comma and sign |
| Length | 4 | |
| Decimal Places | 3 | |
| Output Length | 5 | |
| Value Table |
Further Characteristics
| Search Help: Name | ||
| Search Help: Parameters | ||
| Parameter ID | ||
| Default Component name | ||
| Change document | ||
| No Input History | ||
| Basic direction is set to LTR | ||
| No BIDI Filtering |
Field Label
| Length | Field Label | |
| Short | 10 | Factor |
| Medium | 20 | Trend Dampng. Factor |
| Long | 30 | Trend Dampening Factor |
| Heading | 30 | Trend Dampening Factor |
Documentation
Definition
The trend dampening factor is a number that is multiplied by the trend value (growth rate) when the forecast value is calculated. This reduces the growth rate recursively for a long-term trend.
Use
Use a trend dampening factor if you want to hypothesize in you forecast that the past rate of growth will decrease in the future.
A value greater than 1 is also permitted as a trend dampening factor. This allows you to achieve the opposite effect.
Dependencies
Trend dampening is only taken into account with forecasting models that have a trend component. This includes linear regression and the exponential smoothing trend models (with or without seasonality).
Example
The sales quantity for a product has in the past always increased by 1000 a month. A trend dampening factor with the value 0.9 reduces the growth rate by 10% a month. That means that by the end of the following month, growth will be 0.9 * 1000 = 900, and at the end of the following month growth will be 0,9 * 900 = 810 etc.
History
| Last changed by/on | SAP | 20130604 |
| SAP Release Created in | 350 |