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Equity Research6

Writing an Investment ThesisBuilding a Discounted Cash FlowReading an Annual Report FastReading a Sector Before a CompanySpotting Quality of Earnings Red FlagsBuilding a Revenue Forecast From Drivers

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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.

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Equity Research Bootcamp

Question banks tell you what gets asked. This course gives you the work behind an answer that survives a follow-up.

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Question bank

100 questions, mapped to the firms that asked them

Questions
100
Traced to a firm
72
Firms
45
Updated
September 2026
Asked at
All firmsMorningstar12Man Group6Balyasny Asset Management5BLBlackRock5FTFranklin Templeton5MSCI5Jefferies4CSCredit Suisse3Fidelity Investments3Moody's3Perella Weinberg Partners3Point723S&P Global3The Vanguard Group3WMWellington Management3Advent International2Apollo Global Management2Bank of America2Carlyle Group2DED.E. Shaw2Houlihan Lokey2HSBC2Piper Sandler2Sequoia Capital2SSState Street2Viking Global Investors2WBWilliam Blair2ACAQR Capital Management1BGBaupost Group1BMBNY Mellon1Centerview Partners1Coatue Management1Goldman Sachs1GSGuggenheim Securities1HWHarris Williams1Insight Partners1Invesco1Mizuho1Moelis & Company1MSMorgan Stanley1PIMCO1SCSchroders1Scotiabank1T. Rowe Price1TSTruist Securities1
Topic
All topicsResearch process9Stock pitch6Company analysis8Investment philosophy5Valuation14Modelling2Portfolio and risk8Macro8Sector knowledge2Accounting8Career and fit12Industry knowledge6Quantitative research1Sector: technology3Sector: consumer1Sector: healthcare1Sector: energy1Sector: financials2Sector: industrials1Case and estimation2
Level
AnyCoreIntermediateHard
Type
AnyTechnicalCaseFitBrainteaserMarket view
Showing 1–3 of 3 · filtered from 100Clear filters
  1. 048What is a value trap and how do you avoid one?Investment philosophyIntermediatetechnicalAsset management

    Say this

    A stock that is statistically cheap and keeps getting cheaper because the business is deteriorating faster than the price. The multiple is low for a reason, and the reason is usually visible if you look at returns on capital rather than the P/E.

    Then walk it

    1. The mechanism: earnings fall faster than the price, so the multiple never actually contracts and the investor is permanently early.
    2. The warning signs: declining returns on invested capital, structurally falling market share, a terminal-demand story, and earnings quality deteriorating while reported profit holds up.
    3. The classic setups are companies facing technological substitution, businesses with a single customer or channel under pressure, and cyclicals where the market is pricing normalisation that is not coming.
    4. How to avoid it: insist that the cheapness has a catalyst and a mechanism for resolution. Cheap plus a reason for the gap to close is an investment; cheap alone is a hope.
    5. And test the earnings base before the multiple. A 6 times P/E on peak earnings is 15 times on normalised earnings. Most value traps in cyclicals are just this arithmetic error.
    6. The behavioural safeguard: write down in advance what you would need to see within 12 months. If you cannot name it, you are not investing in a discount, you are holding a declining asset.

    Where candidates lose it

    Defining it and stopping. The examinable content is the diagnostic, which is deteriorating returns on capital plus no catalyst, and the cyclical version where the earnings base is wrong rather than the multiple.

    Expect next

    • Give me an example you have seen.
    • How do you distinguish it from a genuinely mispriced stock?
    • What catalyst would you require?
  2. 091What is the difference between top-down and bottom-up investing?Investment philosophyCorephone / first roundAsset management

    Say this

    Top-down starts from the macro and works to sectors and then stocks. Bottom-up starts from individual companies and builds a portfolio from the best ideas, largely ignoring the macro view.

    Then walk it

    1. Top-down: form a view on growth, rates, inflation and currencies, then decide which regions and sectors benefit, then choose vehicles within them. Common in multi-asset and macro strategies.
    2. Bottom-up: analyse companies on their own merits, buy the ones with the widest gap between price and value, and let the sector weights fall out of that process. Common in fundamental long-only and long-short equity.
    3. The argument for bottom-up is that macro forecasting has a poor track record while company-level analysis has a more reliable edge. The argument for top-down is that in some sectors, banks, energy, mining, the macro variable determines the outcome regardless of company quality.
    4. In practice most fundamental investors are bottom-up with macro awareness: they will not build a macro forecast, but they will know what macro assumption is embedded in their position.
    5. The honest version for an interview is to say which you are and why, and then acknowledge where your approach is weakest. A pure bottom-up investor in a commodity producer is implicitly taking a price view whether they admit it or not.
    6. And match your answer to the firm. Saying you are a pure top-down thinker at a stock-picking shop is a mismatch you can avoid by reading what they run.

    Where candidates lose it

    Claiming to do both equally. That reads as having no process. Pick one, defend it, and acknowledge the cases where the other dominates.

    Expect next

    • Which are you?
    • Where does your approach break down?
    • How much macro should a stock picker have a view on?
  3. 092How much macro view should a bottom-up stock picker have?Investment philosophyHardsuperdayHedge fundsAsset management

    Say this

    Enough to know what macro bet is embedded in the portfolio, but not enough to trade on a forecast. The goal is awareness of unintended exposure, not prediction.

    Then walk it

    1. The case against macro forecasting: the evidence on rate, currency and growth prediction is poor, and a stock picker's edge is in company-level information, not in outguessing the bond market.
    2. But every bottom-up portfolio contains implicit macro positions. Owning five industrials and two banks is a bet on the cycle whether you intended it or not.
    3. So the discipline is measurement rather than forecasting: know your aggregate exposure to rates, to the cycle, to a currency, to a commodity input. A risk system does this, and a good analyst does it mentally.
    4. Then decide whether the exposure is intended. If it is not, hedge or resize. If it is, be explicit that part of the thesis is a macro call, and size accordingly.
    5. Where macro genuinely cannot be avoided is in sectors where the macro variable is the business: banks and rates, miners and commodity prices, homebuilders and mortgage rates. There, a view is unavoidable and pretending otherwise is dishonest.
    6. The formulation I would give: I do not forecast macro, but I refuse to hold an exposure I have not noticed.

    Where candidates lose it

    Either claiming macro is irrelevant, which is naive, or presenting yourself as a macro forecaster in a stock-picking seat. The sophisticated position is measuring embedded exposure rather than predicting.

    Expect next

    • What macro exposure is in your best idea?
    • How would you hedge it?
    • Which sectors force you to take a macro view?

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.

Puzzles

100 Equity Research puzzles, solved step by step

Try each one before you read the answer: probability, mental maths and the brainteasers interviewers use to watch you think.

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Case studies

100 Equity Research case studies, worked step by step

A business, its numbers and a task, as in an assessment day or a case round. Work it on paper, then open the solution one step at a time.

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Framework

The Investment Thesis: Structure, Evidence, the Few Variables It Depends On, and How It Fails

Framework

DuPont Analysis: Decomposing Return on Equity Into Its Drivers

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The Investment Thesis: Structure, Evidence, the Few Variables It Depends On, and How It FailsDuPont Analysis: Decomposing Return on Equity Into Its DriversEquity Research Stock Pitch
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