Fin Maverick
Foundations VocabularyAccounting & ReportingEconomics & MacroQuant Methods & ProgrammingBusiness & Company AnalysisCorporate Finance & ValuationBehavioural Finance
Banking & Market InfrastructureFixed Income & RatesDerivatives & Structured ProductsPublic EquitiesTransactions & DealsPortfolio ConstructionFunds & AMCs
Private Markets & AlternativesRisk, Treasury & ControlAI & Digital FinanceStochastic Calculus & PricingWealth & Personal FinanceIndian Markets & RegulationProfessional Practice
CalculatorComparison
Frameworks
Explore Bootcamps
Equity ResearchPortfolio ManagementMutual Fund MasteryInvestment Banking Analyst
Private Equity AnalystQuant & Hedge Fund AnalystBreaking Into VCFinancial Analyst Program
Risk Management ProgramPrivate Wealth ManagementDebt Capital MarketsDerivatives Foundation
Explore Free Courses

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

Mutual Fund Mastery3

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

Derivatives Unlocked4

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

Investment Banking Analyst3

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

Private Equity Analyst2

Fund Waterfalls and CarryThe LBO in Structure

Hedge Funds Analyst2

Short Selling MechanicsLong Short Mechanics
QuarksCourses
Explore Interview Preparation
Investment BankingEquity ResearchVenture CapitalistPrivate EquityHedge Funds
QuantFinancial AnalysisPrivate Wealth ManagementDebt Capital MarketsRisk Management
Derivatives FoundationPortfolio ManagementMutual Fund Mastery
PartnershipsShowdown
Log inSign up
Interview tracksAll
1Investment Banking
Question bankPuzzlesCase studies
2Equity Research
Question bankPuzzlesCase studies
3Venture Capital
Question bankPuzzlesCase studies
4Private Equity
Question bankPuzzlesCase studies
5Hedge Funds
Question bankPuzzlesCase studies
6Quant
Question bankPuzzlesCase studies
7Financial Analysis
Question bankPuzzlesCase studies
8Private Wealth Management
Question bankPuzzlesCase studies
9Debt Capital Markets
Question bankPuzzlesCase studies
10Risk Management
Question bankPuzzlesCase studies
11Derivatives Foundation
Question bankPuzzlesCase studies
12Portfolio Management
Question bankPuzzlesCase studies
13Mutual Fund Mastery
Question bankPuzzlesCase studies

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.

Jump to the question bank
Go deeper

Equity Research Bootcamp

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

Explore the course →
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. 005Are you sure your thesis can be backed up? What if their costs do not fall?Stock pitchHardsuperdayApollo Global ManagementInvestments · Remote · 2021FTFranklin TempletonOil and Gas · San Mateo · 2024

    Say this

    Answer the substance, do not defend the position. Say what evidence supports the cost assumption, quantify what happens if you are wrong, and state at what point you would exit.

    Then walk it

    1. First, give the evidence behind the assumption, specifically. 'Management guided to it' is weak. 'The input contract repriced in Q2 and the run-rate is already visible in the last two quarters of gross margin' is strong.
    2. Then quantify the downside. 'If costs stay flat, EPS is 15 percent below my number and the stock is worth 38 rather than 55, so I lose about 5 percent from here.' That shows you have modelled the bear case, not just the bull.
    3. Then the asymmetry: if the downside is 5 percent and the upside is 35, the position still makes sense even at a 50 percent probability. That is the real defence.
    4. Then the monitoring point: which disclosure tells you early that you are wrong, and by when you would expect to see it.
    5. And be willing to concede. 'You are right that this is the weakest part of the thesis, which is why I would size it at half a normal position' is a far better answer than digging in. Interviewers push to see whether you update on evidence.

    Where candidates lose it

    Defending the pitch emotionally. This is a pressure test of intellectual honesty, not of conviction. The winning response quantifies the downside and names the exit; stubbornness reads as someone who will lose the fund money.

    Expect next

    • At what price would you stop out?
    • How would you size the position?
    • What is the single data point you would watch?

    Reported by candidates at Apollo Global Management (Investments, Remote, 2021); Franklin Templeton (Oil and Gas, San Mateo, 2024). Source: Wall Street Oasis.

  2. 009Why did you take a variant view on the multiple you applied to that company, relative to street expectations?ValuationHardsuperdayFTFranklin TempletonOil and Gas · San Mateo · 2024

    Say this

    Because the multiple should reflect the durability and the capital intensity of the earnings, and I think the market is applying a mid-cycle multiple to earnings that are not mid-cycle. Say what the street assumes, then why that assumption is wrong.

    Then walk it

    1. First, state the street's implied assumption in numbers. 'Consensus applies 6 times to a refiner on peak crack spreads, which implies they believe those spreads persist.'
    2. Then your disagreement and its basis. 'I apply 4.5 times because I think those spreads normalise within 18 months as capacity comes back, so I am valuing normalised rather than trailing earnings.'
    3. For a cyclical this is the whole game: the multiple and the earnings must be consistent. A low multiple on peak earnings is a value trap; a high multiple on trough earnings is often the correct entry.
    4. Support it with something observable: capacity additions, inventory levels, forward curve, historical spread ranges. The evidence has to be external to your own model.
    5. Then the discipline point: I would show the valuation across the cycle rather than a point estimate, and say what spread assumption is embedded in today's price. Reverse-engineering the market's assumption is the most persuasive thing in a research note.

    Where candidates lose it

    Justifying a multiple by peer comparison alone. That is circular. The multiple has to be defended by the economics, and for cyclicals specifically by where in the cycle the earnings sit.

    Expect next

    • What earnings are you applying that multiple to?
    • How do you normalise a cyclical?
    • What is priced in today?

    Reported by candidates at Franklin Templeton (Oil and Gas, San Mateo, 2024). Source: Wall Street Oasis.

  3. 041How would you analyse an energy or commodity producer?Sector: energyHardtechnicalFTFranklin TempletonOil and Gas · San Mateo · 2024Perella Weinberg PartnersInvestment Banking · Houston · 2025

    Say this

    Position on the cost curve first, then reserves and production, then the balance sheet. The commodity price is the same for everyone, so the only company-specific variables are cost, volume and leverage.

    Then walk it

    1. Cost position is everything. A producer in the bottom quartile of the cost curve survives the trough and buys assets cheaply; a high-cost producer is a leveraged bet on the price.
    2. Reserves and reserve life: how long can they produce at current rates, what is the finding and development cost per barrel, and what is the decline rate on existing wells. Shale declines fast, so maintenance capital expenditure is enormous relative to conventional.
    3. Never value it on a spot price. Use a normalised or strip-based deck and show sensitivity across a price range. A low P/E on peak prices is the classic cyclical value trap.
    4. Balance sheet and hedging: leverage against trough cash flow, not current cash flow, and what percentage of next year's production is already hedged and at what price.
    5. Then capital discipline, which has become the sector's main equity story: are they returning cash or reinvesting into growth at the top of the cycle? The market now pays a premium for discipline.
    6. And the long-run structural question on terminal value: what do you assume about demand in twenty years? That assumption, not this year's earnings, is what most energy disagreements are actually about.

    Where candidates lose it

    Valuing on trailing earnings at current prices. Cyclicals invert the normal multiple logic: high multiples at the trough and low multiples at the peak are the correct pattern, not an anomaly.

    Expect next

    • What price deck would you use?
    • How do you normalise a cyclical?
    • How does hedging change your view?

    Reported by candidates at Franklin Templeton (Oil and Gas, San Mateo, 2024); Perella Weinberg Partners (Investment Banking, Houston, 2025). 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.

Solve the puzzles →
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.

Work the cases →
Connections

Prepare with the rest of the platform

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

Learning

Equity Research Stock Pitch

Calculator · soon

DCF

Course

Equity Research Bootcamp

Fin Maverick Free CoursesExplore Free Courses
Fin Maverick BootcampsExplore Bootcamps
Revise these first
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
Fin Maverick

Finance education that ends in a job, not a certificate that gathers dust. Built for young India.

LEARN
CalculatorsFrameworksComparisonsInterview RoadmapsShowdown
RESOURCES
All CoursesFree CoursesBootcampsInternships
COMPANY
AboutJob openingPartnership
LEGAL
Privacy PolicyTerms & ConditionsContent LicenseReturn & Refund Policy
© 2026 FIN MAVERICK / BUILT FOR INDIA.DO FINANCE, DO NOT JUST READ ABOUT IT.