Why is all modeling still done in Excel??

It’s ridiculous that Excel is the default for every type of calculation and that people are still manually spreading comps every quarter like??? Anyone who has even touched a coding language could design a more modular and powerful way to model. I understand that boomers might not trust models that they can’t understand the inner workings of but it’s not like anyone believes these things are 100% valid anyways. The inefficiency is staggering so someone please explain

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  • Unless you're just doing Bank M&A or something super easy to template, most financial models are built from scratch and can't be done with a single/simple template. The revenue build section is going to be totally different depending on if you're working with a Spec Finance, Tech or Consumer company
  • Clients and investors have to be able to understand and interpret the financial model, so using a code that nobody understands doesn't work well 
  • Coding is for C U C K S 
 
[Comment removed by mod team]
 

Thanks - this makes sense especially for visibility’s sake since it doesn’t make sense to expect clients to understand more opaque models. I still think that routine updating type work (comps, Bloomberg pulls, etc.) could benefit from much more automation than is currently in use today though.

 
Funniest

You mean like a central database of comps and transaction multiples where everyone in banking can check and submit errors in exchange for a $50 reward. That automatically pulls in info each quarter from filings, etc., and you can trace back links to the underlying source. 

And can be refreshed in seconds...

There's this new up, emerging, top of the line Fintech enabled data service that's going to completely blow your mind. It's called "FactSet". 

 
[Comment removed by mod team]
 

I'm in ib, very proficient in SQL and okay with Python data analysis.

I guarantee you that SQL queries are much easier for data analysis compared to Excel. 

Once you know how to write the functions correctly, making charts would also be extremely easy with Python.

The thing is, both require a certain amount of time to learn. In the case of Excel, you can learn how to make a bar chart in 1 minute. With Python, the learning curve is definitely steeper and the process longer. 

Guess which employers are willing to teach? Oh yeah, banks are known for being patient. 

 
[Comment removed by mod team]
 

For the same reason that analysts have a job.  Every quarter you have to actually look at the financial statements and see if any adjustments are required.  Aside from that updating a comps model every quarter should be pretty automated considering you should be able to pull data in from FactSet.  Aside from analyzing the Q's themselves, it should literally just be updating a date on your comps model.  If it isn't then your rolling comps model isn't optimized.

 

They just need to make excel faster. There’s a lot of advanced functionality you can do in excel but the files just begin to get really slow.

 

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