How do you go about modelling a company on the buy side?

Prospective Monkey here. I have seen several sell-side models but never come across a buy-side model here.

Wondering how do you go about modelling a company and how do you get confidence into where the company is heading 2-3 years from now? Is the process more top-down or bottom-up?

Would love to hear how you do this?

P.S. This question is not meant for short-duration HF guys trading into names every quarter

 
Most Helpful

Sell side models = very complicated and usually very wrong, hard to update. Buyside models = all the straightforward drivers are modeled and the analyst has a very good understanding of the levers of value creation (buyback, costs, components of growth). Every great model is simple enough that a PM could go in and understand what’s going on (excl some complex industries). Because if you need to spend too much time explaining it to your PM, probably not worth buying 

 

Buy-side models are built to stress test specific metrics and outcomes yielding a set of valuation ranges and defined risk-reward profiles. Sellside models are not set up that way and tend to be standard 3 statements without highlighting key drivers of a company. Likely no scenario analysis and if there is it’s usually your standard scenario toggles on different, usually not meaningful metrics like gross/operating margin without the underlying build-out. In summary, the main differences are setting up risk rewards and understanding the trading range of a stock driven toggled by specific drivers.

 

How are you getting all that competitive landscape and supply chain info to flow down into the P&L? Hard to get that sort of granular info and be accurate without the internal company models besides specific companies with only a couple players in the chain giving you clear readthroughs/ readacross. I feel like that’s garbage in garbage out if you get too granular.

 

For example, I don’t think our job is to update on a periodic basis a range of prices that are in a bill of goods for a component. That was not what I meant when saying building in competitive landscapes and supply chains into a company-specific model. In the end, It’s about isolating key drivers that are likely to flow through and have a meaningful change to a company or set of companies. If after some work this factor or set of factors (normally no more than 2 or 3) can’t be isolated to support a view on a stock/company, then it’s a lemon and time to move on to the next idea.

The whole point of the model is to be able to justify or invalidate a stock's valuation at a given point in time and result in an action on the portfolio level.  Definitely don't recommend getting lost in the woods and start building out irrelevant metrics just for the sake of granularity.  Building out a complex model that is in accordance with whatever the common format is also pointless if it's not simple enough to understand and tweak.  The sell-side models serve mainly as reference points to what the current market consensus is and the function of the buy-side analyst is to understand what the market still hasn't priced into the stock and what needs to happen for that price to converge with our intrinsic value.   

 

I'll add a lot also depends on strategy, your PM's style, the individual company and sometimes how large or directional vs. rel val a position is. Generally though you want to have an appropriate level of granularity around revenue, costs and OPEX builds that is still simple enough to easily test assumptions around should things be trading quickly and easy enough that a PM could jump in the model and figure out how to stress test things quickly without your help. For some companies even if we have things like warehouse and corporate employee salary builds it's still really clear what's going on and how to easily stress test.

 

Ut nesciunt vitae ipsa quia. Magni deserunt dicta dignissimos officia quia. Et asperiores consectetur iste optio pariatur. In reprehenderit ad a aut. Est laudantium quod repudiandae ipsa.

Eaque ad eveniet error illum minus et. Et nam deleniti qui qui error est. Pariatur est nesciunt ad fugit voluptate et et et. Pariatur fugiat aut sint sequi sapiente. Ab sunt quaerat non alias dolor vitae. Ipsam aut non occaecati sed.

Possimus qui voluptatem qui cum neque quae nulla. Dicta expedita aut est totam error. Ut aperiam et qui quia. Rerum illo distinctio nisi eos.

Sed et eligendi asperiores officia libero debitis. Id quis et consequatur non cum vitae perspiciatis. Et veniam tenetur vel. Veritatis beatae facilis voluptatibus ipsam aut dolores. Dolore sed iusto tenetur accusantium aut accusantium odio.

What concert costs 45 cents? 50 Cent feat. Nickelback.

Career Advancement Opportunities

April 2024 Hedge Fund

  • Point72 98.9%
  • D.E. Shaw 97.9%
  • Citadel Investment Group 96.8%
  • Magnetar Capital 95.8%
  • AQR Capital Management 94.7%

Overall Employee Satisfaction

April 2024 Hedge Fund

  • Magnetar Capital 98.9%
  • D.E. Shaw 97.8%
  • Blackstone Group 96.8%
  • Two Sigma Investments 95.7%
  • Citadel Investment Group 94.6%

Professional Growth Opportunities

April 2024 Hedge Fund

  • AQR Capital Management 99.0%
  • Point72 97.9%
  • D.E. Shaw 96.9%
  • Magnetar Capital 95.8%
  • Citadel Investment Group 94.8%

Total Avg Compensation

April 2024 Hedge Fund

  • Portfolio Manager (9) $1,648
  • Vice President (23) $474
  • Director/MD (12) $423
  • NA (6) $322
  • 3rd+ Year Associate (24) $287
  • Manager (4) $282
  • Engineer/Quant (71) $274
  • 2nd Year Associate (30) $251
  • 1st Year Associate (73) $190
  • Analysts (225) $179
  • Intern/Summer Associate (22) $131
  • Junior Trader (5) $102
  • Intern/Summer Analyst (250) $85
notes
16 IB Interviews Notes

“... there’s no excuse to not take advantage of the resources out there available to you. Best value for your $ are the...”

Leaderboard

1
redever's picture
redever
99.2
2
BankonBanking's picture
BankonBanking
99.0
3
Betsy Massar's picture
Betsy Massar
99.0
4
Secyh62's picture
Secyh62
99.0
5
GameTheory's picture
GameTheory
98.9
6
CompBanker's picture
CompBanker
98.9
7
dosk17's picture
dosk17
98.9
8
kanon's picture
kanon
98.9
9
DrApeman's picture
DrApeman
98.8
10
Linda Abraham's picture
Linda Abraham
98.8
success
From 10 rejections to 1 dream investment banking internship

“... I believe it was the single biggest reason why I ended up with an offer...”