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There are all sorts of complicated definitions of financial modelling, and in my experience there is quite a bit of confusion around what a financial model is exactly. A few years ago, we put together a Plum Solutions survey about the attitudes, trends, and uses of financial modelling, asking respondents, "What do you think a financial model is?" Participants were asked to put down the first thing that came to mind, without any research or too much thinking about it. I found the responses interesting, amusing, and sometimes rather disturbing.
Some answers were overly complicated and highly technical:
Some philosophical:
Some incorrect:
Some ridiculous:
Some honest:
And some downright profound:
There are many (often very complicated and long-winded) definitions available from different sources, but I actually prefer the last, very broad, but accurate description: "a complex spreadsheet." Whilst it does need some definition, a financial model can pretty much be whatever you need it to be.
As long as a spreadsheet has inputs and outputs, and is dynamic and flexible-I'm happy to call it a financial model! Pretty much the whole point of financial modelling is that you change the inputs and the outputs. This is the major premise behind scenario and sensitivity analysis-this is what Excel, with its algebraic logic, was made for! Most of the time, a model will contain financial information and serve the purpose of making a financial decision, but not always. Quite often it will contain a full set of financial statements: profit and loss, cash flow, and balance sheet; but not always.
According to the more staid or traditional definitions of financial modelling, the following items would all most certainly be classified as financial models:
But what about other pieces of analysis that we perform as part of our roles? Can these also be called financial models? What if something does not contain financial information at all? Consider if you were to produce a spreadsheet for the following purposes:
See the section, "Types and Purposes of Financial Models," later in this chapter for greater detail on financial models that don't actually contain financial information.
Don't get hung up on whether you're actually building something that meets the definition of a financial model or not. As long as you've got inputs and outputs that change flexibly and dynamically, you can call it a financial model. If you're using Excel to any extent whereby you are linking cells together, chances are you're already building a financial model-whether you realise it or not. The most important thing is that you are building the model (or whatever it's called!) in a robust way, following the principles of best practice, which this book will teach you.
Generally, a model consists of one or more input variables along with data and formulas that are used to perform calculations, make predictions, or perform any number of solutions to business (or nonbusiness) requirements. By changing the values of the input variables, you can do sensitivity testing and build scenarios to see what happens when the inputs change.
Sometimes managers treat models as though they are able to produce the answer to all business decisions and solve all business problems. Whilst a good model can aid significantly, it's important to remember that models are only as good as the data they contain, and the answers they produce should not necessarily be taken at face value.
"The reliability of a spreadsheet is essentially the accuracy of the data that it produces, and is compromised by the errors found in approximately 94 percent of spreadsheets."1 When presented with a model, the savvy manager will query all the assumptions, and the way it has been built. Someone who has had some experience in building models will realise that they must be treated with caution. Models should be used as one tool in the decision-making process, rather than the definitive solution.
Let me make one thing very clear: I am not partial to the use of the word spreadsheet; in fact, you'll hardly find it used at all in this book.
I've often been asked the difference between the two, and there is a fine line of definition between them. In a nutshell, an Excel spreadsheet is simply the medium that we can use to create a financial model.
At the most basic level, a financial model that has been built in Excel is simply a complex spreadsheet. By definition, a financial model is a structure that contains input data and supplies outputs. By changing the input data, we can test the results of these changes on the output results, and this sort of sensitivity analysis is most easily done in an Excel spreadsheet.
One could argue then, that they are in fact the same thing; there is really no difference between a spreadsheet and a financial model. Others question if it really matters what we call them as long as they do the job. After all, both involve putting data into Excel, organising it, formatting, adding some formulas, and creating some usable output. There are, however, some subtle differences to note:
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