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Financial Modeling Techniques: Sensitivity Analysis (“What if” Analysis)

This article is part of a series on Financial Modeling Conventions and Best Practices

Using data tables for performing a sensitivity analysis in Excel

A financial model is a great way to assess the performance of a business on both a historical and projected basis. It provides a way for the analyst to organize a business’s operations and analyze the results in both a “time-series” format (measuring the company’s performance against itself over time) and a “cross-sectional” format (measuring the company’s performance against industry peers).

Typically, once an analyst inputs both historical financial results and assumptions about future performance, he/she can then calculate and interpret various ratio analyses and other operational performance metrics such as profit margins, inventory turnover, cash collections, leverage and interest coverage ratios, among others.

A rule of thumb: results are never final

A scenario manager allows the analyst to “stress-test” the financial results because the reality is that expectations can and usually do change over time.

In previous articles, we discussed the fact that these forward-looking assumptions may not always hold true, and that the use of a scenario manager is a great way to incorporate several different performance possibilities into your financial model. This allows the analyst to “stress-test” the financial results because the reality is that expectations can and usually do change over time. Because the future cannot be predicted with any certainty, it’s never a good idea to take your financial model’s results and claim, either to your boss or to your client, that the results are final.

So what can you do if the financial model’s results are not the final results? Isn’t that why you build a model in the first place — to get some clarity or answer as to the future performance of the business? Yes and no. The purpose of the financial model is to provide some insight into future performance but there is no one correct answer. Clients and managing directors like to see a range of possible outcomes and this is where the sensitivity analysis, or “what-if” analysis comes into play.

Endless possibilities

It’s not unusual for a client to never even look at a financial model and opt to see the results presented in a data table format.

A sensitivity analysis, otherwise known as a “what-if” analysis or a data table, is another in a long line of powerful Excel tools that allows a user to see what the desired result of the financial model would be under different circumstances. It allows the user to select two variables, or assumptions, in the model and see how a desired output, such as earnings per share (a common metric used) would change based on the new assumptions. It is the perfect complement to a scenario manager, adding even more flexibility to one’s financial and valuation models when it comes to analysis and presentation.

In fact, it’s not unusual for a client to never even look at a financial model and opt to see the results presented in a data table format along with select financial data. This is why it’s important for the analyst to understand the mechanics of creating the data table and be able to interpret its results to make sure the analysis is working properly. We shall go over the mechanics of the data table next.

Building a Data Table

Let’s say, for example, that you have built a dynamic financial statement model in order to predict future earnings per share (EPS) for your business. Your model is flawlessly constructed and gives you an EPS result of $2.63 for the year 2009. Now, instead of presenting to your client that the answer to the question “What will EPS be in 2009?” is unquestionably going to be $2.63, it makes more sense to present a range of possibilities for 2009 EPS that depend on sensitizing certain assumptions in the model. Let’s look at an actual example below to illustrate our point:

sensitivity-analysis

Constructing the Matrix

  1. In a cell on the worksheet, reference the formula that refers to the two input cells that we would like to sensitize. In cell D208, we have referenced our EPS for 2009.
  2. Type one list of input values in the same column, below the formula. In the example, we have input a range of revenue growth assumptions.
  3. Type the second list in the same row, to the right of the formula. In the example, we have input a range of EBIT margin assumptions.
  4. Select the range of cells that contains the formula and both the row and column of values. In the example below, you would select the range D208:I214.
  5. Hit the keys Alt-D-T on your keyboard. This will pull up the “Data Table” box as shown to the right of the data table, below.Note: This “shortcut” works in both Excel 2003 and 2007, although an alternative would be to hit Alt-A-W-T for the 2007 version, which will direct you to the data table box through the “What-If Analysis” menu.
  6. In the Row input cell box, enter the reference to the input cell for the input values in the row. In the example below, you would type cell E35 in the Row input cell box.
  7. In the Column input cell box, enter the reference to the input cell for the input values in the column. In the example below, you would type E33 in the Column input cell box.
  8. Click OK!

sensitivity-analysis-2

Getting results!

We will finally get our various diluted EPS results as seen in cells E209 thru I214 in the data table. The only thing left to do now is to sanity check the results. As revenue growth increases, we should see an increase in diluted EPS, and we do. We should also see diluted EPS increase as EBIT margin improves, and we do. It looks as though we have constructed a well-functioning data table!

One thing to know is that sometimes Excel is set to calculate automatically except for data tables. If it looks as though your data table is not working, try hitting “F9” to recalculate the entire worksheet. You can also adjust how Excel is set up by hitting Alt-T-O and then going to the “Calculations” tab in Excel 2003 or the “Formulas” section in Excel 2007. You can also hit Alt-M-X in Excel 2007 to make your selection.

Some final thoughts

A data table is an effective and easy way to present valuable financial information to a boss or client. It provides a range of possible outcomes for a particular piece of information and can highlight the margin of safety that might exist before something goes terribly wrong. For example, how low can revenue growth or EBIT margins get before EPS becomes negative? Once you have constructed several data tables, you’ll realize that it takes no time at all and that there is no excuse for not incorporating them into your financial modeling arsenal.

Comments

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Minh Nguyen
Minh Nguyen

So the analysis can be carried with maximum 2 variables? How can we test if we want to try 3 variables (EBIT margin, revenue growth plus another variable)?

Thank you

Haseeb Chowdhry
Haseeb Chowdhry

Minh,

With data tables, you can only really do 2 variables at a time – that is the limitation – thanks!

Akintayo Alo
Akintayo Alo

Dears,

Thank you for the knowledge sharing.

Please how do I apply this technique on a financial statement that is built on monthly basis.

Warm regards.

Haseeb Chowdhry
Haseeb Chowdhry

Akintayo,

You can follow the same concepts that we introduced here, but you would be able to sensitize a monthly metric as opposed to an annual metric – that’s the issue with applying sensitivity analysis to monthly numbers. Hope this helps!

– Haseeb

Themba Mkandla
Themba Mkandla

Great tutorial you couldn’t have made it easier. Thank you:)

Haseeb Chowdhry
Haseeb Chowdhry

Great to hear – thanks!

Lee
Lee

Hi,

I applied the above to one sensitivity exercise that i was working on, however, at times, the same values appear throughout the table. Why is that so? and how should i rectify that?

Haseeb Chowdhry
Haseeb Chowdhry

Lee,

Are your calculations set to “Automatic Except for Data Tables?” If so, make sure you press F9 to update all the values in the table.

Lee
Lee

nope, i have already checked all that, and refreshed with F9. Nothing changes.

Do i have to fix the data to be sensitized in a fixed column?

Haseeb Chowdhry
Haseeb Chowdhry

Lee,

I would ensure that the row/column inputs are directly driving the output variable to ensure this table works well. Let me know if you come across anything – thanks!

A.N. Rajan
A.N. Rajan

Can the sensitivity analysis data table be on a different sheet from where the basic model is? When I try that, Excel gives me an error “Input cell reference is not valid.” However, the same data table works fine on the same sheet as the basic model.

Thank you for a well thought-out article on data tables and sensitivity analysis in financial modeling. I really appreciated the posting.

Haseeb Chowdhry
Haseeb Chowdhry

A.N.,

You’re correct in finding a limitation of the data table. The limitation is that the row input and column input cells have to be on the same tab as where you’re building the sensitivity analysis, but the output variable can be linked from any tab. You just have to ensure that your row input and column input cells directly drive the output variable. Hope this helps!

A.N. Rajan
A.N. Rajan

Ah, I see. Thank you. I am not on MSDN or any Office groups, but I was wondering if this was on some list of wanted features for future versions? Not that I think that there is a big demand for this, but I think that it would be neat to have.

Thanks again.

Haseeb Chowdhry
Haseeb Chowdhry

I’m not aware of any list or group that Microsoft reaches out to for new capabilities on its tools, but it would be a great idea!

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