Equity Research interview preparation
Sell side and buy side. Every question is either traced to a named firm from a public candidate report, or tagged at desk level when we could not trace it. Answers lead with the point, then the mechanism, then the limitation.
100 questions, mapped to the firms that asked them
- Questions
- 100
- Traced to a firm
- 72
- Firms
- 45
- Updated
- September 2026
002What moves a stock?Balyasny Asset ManagementEquity Hedge · Chicago · 2021
Say this
Changes in expectations, not the level of results. A stock moves when the market revises its forecast of future earnings, or revises the multiple it will pay for them. Everything else is noise around those two.
Then walk it
- Price equals earnings times multiple. So there are exactly two levers, and every catalyst works through one of them.
- Earnings revisions are the bigger driver over any meaningful horizon. That is why the sell-side obsesses over guidance and why a beat with a cut to guidance sells off.
- Multiple changes come from the rate environment, from perceived risk, and from a change in the durability of growth. A company that convinces the market its growth is recurring rather than cyclical gets re-rated without changing a single forecast.
- In the short run, positioning and flows matter enormously. A crowded long with everyone already in it can fall on good news because there is nobody left to buy.
- So the practical question for a research analyst is never 'are results good' but 'are results better than what is discounted'. That is why the expectations framework is the job.
Where candidates lose it
Answering 'earnings' and stopping. That misses the multiple entirely, and it misses the central insight that it is the delta versus expectations that matters, not the absolute result.
Expect next
- How do you think about valuation drivers?
- Why would a stock fall on a beat?
- How do you measure what is priced in?
Reported by candidates at Balyasny Asset Management (Equity Hedge, Chicago, 2021). Source: Wall Street Oasis.
010How do you build a model that is detailed enough to be useful but simple enough that you can cover a lot of companies?Balyasny Asset ManagementEquity Research · New York · 2026
Say this
Model deeply only where the variance is. For most companies two or three line items drive the outcome, so those get detailed driver builds and everything else gets a margin assumption or a percentage of sales.
Then walk it
- Identify the swing factors first. For a retailer it is same-store sales and gross margin. For a bank it is net interest margin and provisions. For a software company it is net retention and sales efficiency. Model those properly.
- Everything else goes to ratios: other opex as a percent of revenue, working capital as days, tax at the guided rate. Precision there adds nothing and costs you maintenance time.
- Standardise the template across the coverage universe so the same row does the same thing in every file. That is what actually makes 15 names maintainable, because updating a quarter becomes mechanical.
- Build it around the disclosure you will actually receive. If the company only reports two segments, a five-segment model will be broken every quarter.
- And keep a one-page output: the drivers, the earnings bridge versus consensus, and the valuation. If the summary tab tells the story, the depth underneath can stay limited.
- The test I would apply: can I update this model in 20 minutes on results day? If not, it is too complex to cover 15 names with.
Where candidates lose it
Saying you would build the most detailed model possible. On the buy side, model complexity is a liability. The insight being tested is that modelling effort should be allocated to variance, not spread evenly.
Expect next
- How many names can one analyst realistically cover?
- What goes on your summary tab?
- How do you update on results day?
Reported by candidates at Balyasny Asset Management (Equity Research, New York, 2026). Source: Wall Street Oasis.
011How would you hedge a name that does not have a close public comparable?Balyasny Asset ManagementEquity Research · New York · 2026
Say this
Hedge the exposures rather than the company. Decompose the position into its factor risks, market beta, sector, style, currency, commodity input, then hedge each with whatever liquid instrument matches it.
Then walk it
- Start by decomposing: run the stock against factor returns and see what it is actually exposed to. Often a 'unique' business is really a bundle of common exposures.
- Hedge the market beta with an index future, sized on the regression beta rather than one.
- Hedge sector exposure with the closest sector ETF, accepting that the fit is imperfect. An imperfect hedge that removes 60 percent of the variance is better than no hedge.
- Hedge the specific input if there is one: a fuel-exposed business can be partly hedged with the commodity, a foreign earner with FX forwards.
- Then accept and size for the residual. The leftover idiosyncratic risk is the part you are actually being paid for, so the honest answer is that you hedge what you do not have a view on and hold what you do.
- And the practical constraint on a multi-manager platform: the risk system will impose factor limits anyway, so the hedge is often not optional. Saying that shows you understand how these seats actually operate.
Where candidates lose it
Reaching for a single 'closest competitor' short. If there were a close comp the question would not have been asked. The expected answer is factor decomposition, and naming the residual idiosyncratic risk as the intended exposure.
Expect next
- What residual risk are you left with?
- How would you size the position?
- What factor limits would you expect to operate under?
Reported by candidates at Balyasny Asset Management (Equity Research, New York, 2026). Source: Wall Street Oasis.
Firm tags come from public, anonymous candidate reports on Wall Street Oasis: strong signal, not sworn testimony. Firms are named as the places a question was reported, not as partners of Fin Maverick. Answers are written for this page to show how to think out loud; they are not scripts to recite.

