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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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Rebalancing: When, Why and What It CostsStrategic and Tactical Asset AllocationMeasuring Risk in a Portfolio

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Comparing Funds Without Being FooledHow a NAV Is Struck and Which Day You GetReading a Fund Factsheet Properly

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Hedging a Real ExposureThe Greeks, PracticallyFutures, the Basis and What Moves ItReading an Option Payoff

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Backtesting a StrategyHypothesis TestingCleaning Financial DataRegression for Finance

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Credit Exposure and How It Is ReducedValue at Risk and What It Hides

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Precedent Transactions and Why They DifferReading a Term Sheet StructurallyBuilding a Comparable Companies Table

Private Wealth Management3

Tax Aware Portfolio DecisionsBuilding a Client Risk ProfileGoal Based Planning Arithmetic

Debt Capital Markets3

Analysing an Issuer's CreditDuration and What It Does Not Tell YouBond Pricing and Yield Mechanics

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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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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 1–8 of 8 · filtered from 100Clear filters
  1. 022Do you see yourself doing this for the rest of your career?Career and fitIntermediatesuperdayMan GroupEquity Hedge · Boston · 2019Fidelity InvestmentsEquity Research · Toronto · 2026

    Say this

    Say yes, and make it credible by describing what specifically about the work would sustain you for twenty years. Research firms hire slowly and expect long tenure, so this question is a genuine screen, not a formality.

    Then walk it

    1. Answer directly. Hedging here reads as someone passing through, and in a small investment team that is expensive.
    2. Then give the reason that survives the glamour wearing off: the work is the same at year one and year twenty, reading filings, building a view, being wrong sometimes, and compounding knowledge of an industry.
    3. Name the specific appeal: the feedback loop. Very few careers tell you clearly whether you were right. For people who want that scoreboard, nothing else substitutes.
    4. Acknowledge the hard parts honestly. Being wrong publicly, long periods where the thesis does not work, and the fact that the market can stay against you longer than you expect. Saying this shows you are not romanticising it.
    5. Connect it to the firm's horizon. If they run long-duration strategies, say that you want to build ten years of knowledge in a sector rather than rotate every two.

    Where candidates lose it

    An ambitious answer about starting your own fund. In an asset management interview that signals you will leave. Also, do not describe it as your 'passion' without evidence; describe the daily work and why it suits you.

    Expect next

    • What would make you leave?
    • Where do you want to be in ten years?
    • What is the hardest part of this job?

    Reported by candidates at Man Group (Equity Hedge, Boston, 2019); Fidelity Investments (Equity Research, Toronto, 2026). Source: Wall Street Oasis.

  2. 023What got you interested in investing, and what has changed since then?Career and fitIntermediatefirst roundMorningstarEquity Research · Chicago · 2023BLBlackRockInvestment Research · New York · 2026

    Say this

    The 'what has changed' half is the real question. It is asking whether you have learned anything, so the answer should describe a specific belief you held early and abandoned with evidence.

    Then walk it

    1. The origin should be concrete and modest. A first purchase, a company you knew through family, a competition, a book that made you look at an annual report.
    2. Then the evolution, which is where the substance is. 'I started out buying cheap stocks on low P/E and learned that cheap usually means something is broken' is a real answer.
    3. Or: 'I used to think a good product meant a good investment, and I learned that a great company at the wrong price is a bad investment.'
    4. Support it with the specific position that taught you, including the loss. Losses are more persuasive than wins because they are harder to fake.
    5. Close with the principle you now apply and how it shows up in your process. That converts a personal story into evidence of a method.

    Where candidates lose it

    Telling the origin story and skipping the evolution. Also the stock answer of 'I bought Apple at 15 and it went up'. Luck is not a philosophy; what you changed your mind about is.

    Expect next

    • What would you have done differently if you could go back to when you started?
    • What is your investment philosophy?
    • Tell me about a position you got wrong.

    Reported by candidates at Morningstar (Equity Research, Chicago, 2023); BlackRock (Investment Research, New York, 2026). Source: Wall Street Oasis.

  3. 030What would you have done differently if you could go back to when you started investing?Career and fitIntermediatefirst roundMorningstarEquity Research · Chicago · 2023

    Say this

    Name one specific mistake and the process change it produced. The answer should be a lesson about method, not about a stock you wish you had bought.

    Then walk it

    1. Good answers are about process: position sizing, selling too early, anchoring on purchase price, not writing the thesis down, trading on narrative rather than numbers.
    2. Make it concrete: 'I held a position through three quarters of deteriorating gross margin because I had decided I liked the company. Now I write down in advance what would falsify the thesis, and I check it every quarter.'
    3. The best version includes a behavioural insight about yourself. Knowing your own failure mode is what separates people who improve from people who repeat.
    4. Avoid 'I wish I had started earlier' and 'I wish I had bought more of the winner'. Neither is a lesson and both are things everyone says.
    5. Close with the current habit it produced, so the change is evidenced rather than claimed.

    Where candidates lose it

    Answering with a missed opportunity. That is regret, not learning, and it implies your main reflection is that you should have taken more risk. The expected answer is a process improvement born from a loss.

    Expect next

    • How do you avoid that now?
    • Tell me about a time you were wrong and changed your mind.
    • How do you decide when to sell?

    Reported by candidates at Morningstar (Equity Research, Chicago, 2023). Source: Wall Street Oasis.

  4. 087Tell me about a time you were wrong about a stock.Career and fitIntermediatesuperdayMorningstarEquity Research · Chicago · 2023Point72Investment Research · New York · 2026

    Say this

    Give a real position, state the thesis you held, say what actually happened, and identify the specific analytical error rather than blaming the market. Then the process change it caused.

    Then walk it

    1. State the original thesis in one sentence, exactly as you held it at the time. Reconstructing it charitably in hindsight is obvious and undermines the whole answer.
    2. Then what happened and what you missed. Be specific about the type of error: you overestimated pricing power, you trusted a management forecast, you ignored the balance sheet, you anchored on the purchase price.
    3. Distinguish a bad decision from a bad outcome. Some losses come from good process and bad luck; others from process failure. Showing you can tell them apart is the highest-value part of the answer.
    4. Say what you did when the evidence turned. Did you cut, add, or freeze? Freezing is the honest answer for most people and admitting it is fine if you explain what you now do instead.
    5. Then the process change, concretely. 'I now write the falsifier down when I initiate and check it every quarter' is better than 'I learned to be more careful'.
    6. Avoid stories where you were secretly right and the market was wrong. That is not an answer about being wrong.

    Where candidates lose it

    Choosing a loss you can blame on an external shock. That avoids the question. Pick one where the error was yours and where the lesson changed a specific habit.

    Expect next

    • Was that a bad decision or a bad outcome?
    • What do you do differently now?
    • How long did it take you to change your mind?

    Reported by candidates at Morningstar (Equity Research, Chicago, 2023); Point72 (Investment Research, New York, 2026). Source: Wall Street Oasis.

  5. 089What is the case study process here, and how would you approach a two-week modelling test?Career and fitIntermediatecase studyPoint72Investment Banking · London · 2026DED.E. ShawGeneralist · New York · 2025

    Say this

    Treat it as a recommendation, not a model. Spend the first day deciding what the investment question is, then build only the model you need to answer it, and reserve the last quarter of the time for the write-up.

    Then walk it

    1. Identify the decision first. What is the one variable this investment turns on? Everything you build should serve answering that.
    2. Build a model sized to the question. A beautiful 20-tab model that does not resolve the debate scores worse than a three-tab model that does. Graders are checking judgement about materiality.
    3. Do primary work. Transcripts, competitor filings, industry data, and anything you can verify externally. This is what separates entries, because everyone can build a model.
    4. Structure the output like a note: recommendation and target up front, the variant view, the evidence, the valuation, the risks and the falsifier. Never make the reader hunt for your conclusion.
    5. Sensitise honestly. Show the bear case with a number attached, and say what you are least confident about. Overclaiming certainty is the most common way candidates lose credibility.
    6. Then rehearse defending it out loud, because the presentation is usually where the decision is made. Expect them to attack your weakest assumption, and have the downside quantified before they ask.

    Where candidates lose it

    Spending all the time on the model and writing the conclusion in the last hour. The model is the working; the recommendation is the product. Budget time backwards from the write-up.

    Expect next

    • How did you get your assumptions?
    • What is the bear case worth?
    • What would you have done with another week?

    Reported by candidates at Point72 (Investment Banking, London, 2026); D.E. Shaw (Generalist, New York, 2025). Source: Wall Street Oasis.

  6. 098What is an area of coverage you would want, and why that one?Career and fitIntermediatefirst roundMorningstarEquity Research · Chicago · 2023Carlyle GroupGeneralist · New York · 2015

    Say this

    Name a sector, give a reason rooted in the analytical work rather than in interest, and show you know what covering it actually involves. Then say you would take whatever coverage they need.

    Then walk it

    1. Pick something specific: not 'technology' but 'enterprise software' or 'semiconductor capital equipment'. Specificity signals you know the sector has sub-structures.
    2. Give an analytical reason: 'the disclosure is rich enough to build a real variant view, because net retention and cohort data are published' or 'the cycle is long enough that patient work pays off'.
    3. Show you know the work: what data you would track, who the players are, what the key debate in the sector is right now.
    4. Connect it to something you have done. Coverage preferences are more credible when backed by a model you have built or a company you have followed for a while.
    5. Then be flexible, explicitly. Juniors rarely choose, and a candidate who will only do one sector is harder to place. 'That is my preference, but the sector matters less to me than the team and the process' is the right close.
    6. If you know which sectors they are hiring for, weight your answer toward those without pretending it was always your passion.

    Where candidates lose it

    Naming a sector because it sounds exciting, then being unable to name its key metrics or current debate. The follow-up is immediate. Pick the one you have actually done work on.

    Expect next

    • What is the key debate in that sector right now?
    • What metric would you track weekly?
    • What if we put you in a sector you did not choose?

    Reported by candidates at Morningstar (Equity Research, Chicago, 2023); Carlyle Group (Generalist, New York, 2015). Source: Wall Street Oasis.

  7. 099How do you manage your time across a coverage list when everything happens at once in results season?Career and fitIntermediatetechnicalMorningstarInvestment Research · Chicago · 2022TSTruist SecuritiesInvestment Banking · New York · 2026

    Say this

    Prepare before the wave, then triage by materiality during it. Have the models updated and the expectations written down in advance, so results day is about the delta rather than about data entry.

    Then walk it

    1. Front-load the work. In the quiet weeks, update models, write the preview with your specific expectations, and pre-build the results-day template so the numbers drop in.
    2. Write down what you expect before the print, including what would surprise you. Then on the day you are comparing to a written benchmark rather than reacting.
    3. Triage by materiality: the names where the print could change the rating get full attention; the rest get a note and a number update. Not everything deserves equal time and pretending otherwise means everything gets done badly.
    4. Standardise ruthlessly. Same model template, same note structure, same checklist. Repetition is what makes volume survivable.
    5. Communicate early. A short same-day note with the three things that mattered is worth more to a client than a perfect note two days later.
    6. And protect the deep work. Blocking time for the one piece of original analysis that is not results-driven is what keeps the coverage differentiated rather than reactive.

    Where candidates lose it

    Answering with generic time management advice. The sector-specific content is the preparation cycle, the pre-written expectation, and triage by materiality. Say those and it reads as someone who has seen a results season.

    Expect next

    • What goes in your preview note?
    • How do you decide which names get attention?
    • Tell me about a time you fell behind.

    Reported by candidates at Morningstar (Investment Research, Chicago, 2022); Truist Securities (Investment Banking, New York, 2026). Source: Wall Street Oasis.

  8. 100Why this firm rather than a bulge bracket bank or a hedge fund?Career and fitIntermediateevery roundMorningstarOther · Chicago · 2025WMWellington ManagementAsset Management · Boston · 2024Fidelity InvestmentsAsset Management · Boston · 2024

    Say this

    Name something about how they invest, not about their reputation. The research horizon, the ownership structure, the coverage model, the way analysts progress. One specific structural feature beats any amount of flattery.

    Then walk it

    1. Do the homework on their process: how long they hold, how concentrated they are, whether analysts run money, whether research is centralised, what their stated philosophy is.
    2. Then pick the feature that genuinely suits you and say why. 'Your analysts keep sector coverage for a decade rather than rotating, and I want to build that depth' is a real answer.
    3. Ownership structure is often the honest differentiator: private partnership, mutual ownership, or independent research with no banking arm. Each changes the incentives, and saying you prefer those incentives is credible.
    4. Contrast with the alternatives fairly rather than dismissively. 'A hedge fund would give me a shorter feedback loop, but I want to hold things long enough for the thesis to actually play out' respects both.
    5. Reference a person if you have spoken to one, and what they told you. That is the hardest thing to fake and the most convincing.
    6. And be honest about the trade-off you are making. Every choice gives something up, and acknowledging it makes the choice sound considered rather than rehearsed.

    Where candidates lose it

    Praising their brand or their performance. Everyone does that and it is unfalsifiable. Structural features of how they work, and evidence you understood them, are what distinguish the answer.

    Expect next

    • What do you think you would give up by coming here?
    • Who have you spoken to here?
    • Where else are you interviewing?

    Reported by candidates at Morningstar (Other, Chicago, 2025); Wellington Management (Asset Management, Boston, 2024); Fidelity Investments (Asset Management, Boston, 2024). 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.

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

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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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