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Recent Posts
- Conditionnal Format Controls – Part Deux
- Spotting Errors
- How to Model Depreciation
- Improve Table Visualization using OFFSET and Conditional Formatting
- OFFSET Function Tutorial
- Getting More From Your Pivot Tables
- Conditional Formats Control – The Warm-Up
- Improve your model now! #REF Editions
- Back to School – The Excel Model
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The Financial Modeler- Conditionnal Format Controls – Part Deux
- Spotting Errors
- How to Model Depreciation
- Improve Table Visualization using OFFSET and Conditional Formatting
- OFFSET Function Tutorial
- Getting More From Your Pivot Tables
- Conditional Formats Control – The Warm-Up
- Improve your model now! #REF Editions
- Back to School – The Excel Model
- R1C1 Enlightenment
Powerful Sensitivity Tables
In my previous post, I showed you how to do sensitivity analysis with Excel’s data tables. However the functionality allow us to do sensitivity on 2 variables only. Today I’m following up with a way to overcome this limitation.
As an example, an investment might be sensitive to many variables (e.g. lauch dates, set-up costs, marginal costs, sales, etc…). These can be summarized in scenarios like in the following table.
The last column in the table is the active scenario. It includes an in-cell drop down of the different scenario names and formulas that adjust automatically with the chosen scenario. The formula in H9 looks like this
=INDEX(D9:F9,1,MATCH($H$6,$D$6:$F$6,0))D9:F9is the range of possible values (same row)$H$6is the cell with the active scenario name (i.e. the one with the in-cell drop-down)$D$6:$F$6is the range of the different scenario names (top header row)Now I only have to build a one-variable sensitivity table with the variables like what you see on the next picture
Sensitivity table layout
Now, follow the steps detailed in the “One Variable Sensitivity Table – Data in Rows” section of my previous post
Here’s the result you should get. Notice that the formula column has been hidden.
Sensitivity table result
You can download the file used in the example here. (file size: 232 KB)