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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

Portfolio Management3

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

AI For Finance2

Retrieval and Grounding for FinanceDocument Extraction in Finance

Breaking Into Quants4

Backtesting a StrategyHypothesis TestingCleaning Financial DataRegression for Finance

Breaking Into VC3

Sizing a MarketReading a Term Sheet as a FounderHow a Venture Round Actually Works

Financial Analyst Program4

Common Size and Trend AnalysisReading a Cash Flow StatementRatio Analysis That Says SomethingBuilding a Working Capital Schedule

Risk Management Program2

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

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Tax Aware Portfolio DecisionsBuilding a Client Risk ProfileGoal Based Planning Arithmetic

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5Hedge Funds
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6Quant
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7Financial Analysis
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9Debt Capital Markets
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10Risk Management
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11Derivatives Foundation
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12Portfolio Management
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13Mutual Fund Mastery
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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 1–2 of 2 · filtered from 100Clear filters
  1. 045How would you value a company with no earnings?ValuationIntermediatetechnicalPiper SandlerInvestment Banking · New York · 2026Sequoia CapitalVenture Capital · San Francisco · 2021

    Say this

    Move up the income statement until you reach a line that is meaningful, then value that. Revenue multiples, gross profit multiples, or a forward-year earnings estimate discounted back to today.

    Then walk it

    1. First ask why there are no earnings. A company spending heavily on growth is completely different from one with a broken cost structure, and only the first deserves a growth valuation.
    2. For growth-stage losses: EV to revenue, or better, EV to gross profit, since gross profit strips out the differences in cost of revenue between a software company and a delivery company.
    3. Then normalise: model forward to the year the business reaches a steady-state margin, apply a mature multiple to that year's earnings, and discount back. This forces you to state when profitability arrives and what it looks like.
    4. For asset-heavy or distressed cases, value the assets instead: net asset value, replacement cost, or liquidation value.
    5. For very early stage, the market approach dominates: what did comparable companies raise at, and what did similar businesses exit for.
    6. The discipline that matters: any revenue multiple is an implicit bet on a future margin. Saying 'six times revenue' without saying what terminal margin justifies it is not a valuation.

    Where candidates lose it

    Reaching for a revenue multiple with no view on terminal margin. Also failing to distinguish a company choosing to lose money from one unable to make money. That distinction determines whether the question is valuation or restructuring.

    Expect next

    • What terminal margin justifies that multiple?
    • When do they reach profitability?
    • Why is it difficult to value a first-year firm?

    Reported by candidates at Piper Sandler (Investment Banking, New York, 2026); Sequoia Capital (Venture Capital, San Francisco, 2021). Source: Wall Street Oasis.

  2. 046Why is it difficult to value a company in its first year?ValuationIntermediatetechnicalSequoia CapitalVenture Capital · San Francisco · 2021

    Say this

    There is no history to extrapolate, no stable unit economics, and the range of outcomes is enormous. Almost all of the value sits in a terminal state you are guessing at, so any point estimate is false precision.

    Then walk it

    1. No track record means no base rate for your own forecast. You cannot test whether management hits plan because there is no plan history.
    2. Unit economics are unstable. Customer acquisition cost and retention in the first cohorts are unrepresentative, usually because early customers are enthusiasts and the cost of reaching them was low.
    3. The outcome distribution is not normal, it is power-law. Most early companies are worth close to zero and a few are worth enormous amounts, so an expected value calculation is dominated by a tail you cannot estimate.
    4. A DCF is therefore meaningless: 100 percent of the value is terminal, and small changes in assumption swing the answer by orders of magnitude.
    5. What you use instead: the market approach, meaning what comparable rounds priced at; scenario analysis with explicit probabilities; and milestone-based valuation where each funding round buys information rather than value.
    6. And the honest venture framing: you are not valuing the company, you are pricing an option on a team and a market. The diligence weight sits on the founders and the market size, not on the model.

    Where candidates lose it

    Trying to make a DCF work. The expected answer names the power-law distribution and the shift from valuation to option pricing. Saying 'you value the team and the market' is the venture-native response.

    Expect next

    • So what do you actually diligence?
    • How do you size a market for an early-stage company?
    • How does a power law change how you build a portfolio?

    Reported by candidates at Sequoia Capital (Venture Capital, San Francisco, 2021). 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

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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