What makes financial models hard to read

=IF( AND( Assumptions!K4 = Workings!H10, Assumptions!F39 = Assumptions!L17), IF(OR( Workings!K2 = Output!J30, Workings!H9 = Data!G10), OFFSET(Workings!F8, Data!F2, Data!F3), IF( ROUNDUP( INDEX( Data!E17:E32,MATCH(Metrics!F10, Data!F9:F15, 0)), Assumptions!F35), Ops!F29, Metrics!F15)))

How often have you opened a model and come across a formula like this? You know that if you want to make sense of it, you're going to spend way more than you'd like.

And this formula is by no means the worst you'll see.

So what makes formulas like this hard to read?

Firstly, it's just long. A lot is going on. Long formulas with lots of nested IFs are a disaster. They are impossible to understand and impossible to test. You'll see throughout the book that we keep formulas as short and straightforward as possible. The way we do this is to break up calculations into smaller steps. Long formulas are just formulas trying to do too much all at once.

Secondly, there are a lot of off-sheet references. This means that in the process of trying to decode the formula, we also have to be trawling around the model trying to figure out what each of these numbers is, where it comes from and what it's doing in the formula.

These two things, long formulas and off sheet references, often occur together.

A third thing is daisy chains. That's where we have links in our formulas that refer to other links, that refer to other links, and so on. We'll talk more about daisy chains later.

In my experience, because most of us are self-taught modellers, left to our own devices, we all do these three things. And we often don't think about them, which is the point. As soon we do think about them, we realise that they are a terrible idea.

More horrible formulas

If you want some more examples - check this one out.


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