Technical debt in financial models Excel has very little inherent structure. Any structure your model has is going to have to come from you.
What Irish monks from the 7th century can teach us about Financial Modelling Financial Modelling wisdom comes from the strangest places.
Cleverness is not wisdom There is an incentive for consultant financial modellers to build complex, hard to understand models.
Model complexity compounds business complexity "The map is not the territory" - Alfred Korzybski. People often confuse models of reality with reality itself. Models represent things, but they are not identical to those things. This is true of financial models. A financial model is an abstract representation of a business. The job of
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
The four stages of learning There are four stages to learning any new skill. Knowing which stage you are at can help to calibrate your expectations and reduce your frustration.
Your path to confidence You can't learn to swim by reading a book. At some point, you have to jump into the water and start moving your arms and legs. It's the same with financial modelling. It's an active skill. You have to do it to learn it.
All models are wrong. Some are useful. In 1976, British statistician George Box wrote the famous line, "All models are wrong, some are useful." This is a critical truism to keep in our minds as we build and share financial models. There is only one thing you can say with any certainty about your model&