Seasonal Variations & Deseasonalisation 🌤️
Seasonal Variations are regular, short-term fluctuations that occur within a year (e.g., quarterly or monthly). Measuring them helps businesses plan inventory, staffing, and sales strategies.
Measuring Seasonality: Simple Average Method ➗
This is the simplest method. It assumes that there is no trend (or trend is negligible).
Steps:
- Arrange Data: By months or quarters for all years.
- Calculate Totals: Sum of each month/quarter across all years.
- Calculate Averages: Divide totals by number of years to get Monthly/Quarterly Averages.
- Grand Average: Calculate the average of these averages.
- Seasonal Index:
Seasonal Index = (Monthly Average / Grand Average) * 100
Example (Quarterly Data)
Data (Sales):
| Year | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|
| 2010 | 30 | 40 | 35 | 50 |
| 2011 | 34 | 42 | 38 | 52 |
| 2012 | 40 | 45 | 42 | 58 |
| Total | 104 | 127 | 115 | 160 |
Step 1: Calculate Quarter Averages (Total / 3)
- Q1 Avg:
104 / 3 = 34.67 - Q2 Avg:
127 / 3 = 42.33 - Q3 Avg:
115 / 3 = 38.33 - Q4 Avg:
160 / 3 = 53.33
Step 2: Grand Average
(34.67 + 42.33 + 38.33 + 53.33) / 4 = 168.66 / 4 = 42.17
Step 3: Seasonal Indices
- Q1 Index:
(34.67 / 42.17) * 100 = 82.21 - Q2 Index:
(42.33 / 42.17) * 100 = 100.38 - Q3 Index:
(38.33 / 42.17) * 100 = 90.90 - Q4 Index:
(53.33 / 42.17) * 100 = 126.46
(Interpretation: Q4 sales are 26.46% higher than average).
Deseasonalisation 🧹
Deseasonalisation is the process of removing the seasonal effect from the time series data. This leaves us with the Trend, Cyclical, and Irregular components (TCI).
Why Deseasonalise?
- To see the true underlying trend.
- To compare performance of different months/quarters accurately (e.g., Is Q4 really better, or is it just the holiday season?).
Formula
For Multiplicative Model (Y = T * S * C * I):
Deseasonalised Value = (Original Value / Seasonal Index) * 100
- If in Q4 2010, Sales = 50 and SI = 126.46.
- Deseasonalised Sales =
(50 / 126.46) * 100 = 39.53.
Summary
- Seasonal Index > 100: Season is above average.
- Seasonal Index < 100: Season is below average.
- Deseasonalisation: Removing the seasonal component to analyze the "real" growth.
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