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
Explore NISM prep
Series-VIII · Equity DerivativesSeries-XII · Securities Markets FoundationSeries-V-A · Mutual Fund DistributorsSeries-XV · Research AnalystSeries-XIX-E · Category III AIF ManagersSeries-XIX-D · Category I & II AIF ManagersSeries-XIX-C · Alternative Investment Fund ManagersSeries-XVI · Commodity DerivativesSeries-VI · Depository OperationsSeries-II-A · Registrars & Transfer AgentsSeries-I · Currency DerivativesSeries-VII · Securities Operations & Risk Management
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

Quant puzzles, solved step by step

Puzzles
100
Traced to a firm
71
Topics
12
Hard
30
Topic
All topicsLogic and algorithmic reasoning10Conditional probability and Bayes7Counting and combinatorics8Continuous and geometric probability9Correlation, regression and linear algebra9Market making, betting and sizing9Expected value and optimal stopping9Statistics and estimation9Pricing, options and index maths7Games and strategic reasoning8Markov chains and random walks7Mental maths and number sense8
Level
AnyWarm upCoreHard
Source
AnyReported at a firmStandard
Showing 1–3 of 3 · filtered from 100Clear filters
  1. 010A company's value to its current owner is equally likely to be anything from Rs 0 to Rs 100 crore, and only the owner knows the figure. In your hands the company would be worth 1.5 times that value. You may make one take-it-or-leave-it offer, which the owner accepts only if it is at least the company's value to them. What should you bid?Games and strategic reasoningHardQuant tradingQuant research

    Try it first

    Which bid maximises your expected profit?

    Show the worked solution

    Bid nothing. If a bid of b is accepted, the owner has told you the company is worth less than b to them, so its value is uniform on 0 to b and averages b/2. In your hands that is 1.5 x b/2 = 0.75b, a quarter less than you paid. Expected profit is (b/100) x (0.75b - b) = -b squared/400, negative for every positive bid. This is the winner's curse in its purest form.

    Why does 75 look right and fail?

    Picture buying a used car from someone who knows its history while you do not. If they agree to your price at once, that is itself news: sellers of good cars refuse low offers. Acceptance is not random; it happens exactly in the states where the company is worth less than you offered, so the average value you actually receive is the average below your bid, not the average overall. The naive 75 uses the unconditional average of 50 and forgets that you only trade when the owner is happy to sell.

    The seller only says yes when the company is worth less than your bid-25+25+50+7500255075100your bid, Rs crorenaive: worth 75 to you on average,so any bid under 75 looks profitablebid 50: -6.25bid 100: -25Accepted at b: value averages b/2, worth 0.75b to you.You lose 0.25b every time you win
    The naive line values the company at its overall average and shows profit for any bid under 75, but conditioning on the owner accepting gives expected profit of minus b squared over 400, which is below zero for every positive bid, minus 6.25 crore at a bid of 50.

    How do you set up the expected profit?

    Split it into the chance of a deal and the profit given a deal. A bid of b is accepted with probability b/100; given acceptance the owner's value is uniform on 0 to b, averaging b/2, so your value averages 0.75b and your profit averages minus 0.25b. Multiply: minus 0.25b x b/100, which is minus b squared over 400. At a bid of 50 that is minus 6.25 crore: you win half the time and lose 12.5 crore on average when you do.

    The relationship
    E[π(b)]=b100⏟accepted  (1.5⋅b2−b)=−b2400<0 for all b>0E[\pi(b)] = \underbrace{\frac{b}{100}}_{\text{accepted}}\;\Big(1.5\cdot\frac{b}{2} - b\Big) = -\frac{b^2}{400} < 0 \text{ for all } b > 0
    byour bid in Rs crore
    b/100the chance the owner's value is below b
    b/2the owner's average value, given that they accepted
    What it says in wordsThe chance of winning times the loss when you win is negative for every positive bid.

    When would bidding make sense, and where does this show up on a desk?

    The multiplier is the lever. With a multiplier m, the profit given a deal is (m/2 - 1)b, so bidding pays only if you add more than double the owner's value; at exactly 2 you break even, and above 2 you should bid the full 100. On a trading desk the same logic is called adverse selectionThe tendency for the trades you actually get to come from counterparties with better information than you, so they are worse on average than a random trade.: the orders that fill against you are disproportionately the ones from people who know more. A quote that looks profitable against the average counterparty loses against the ones who choose to trade.

    Where candidates lose it

    Most candidates bid somewhere between 50 and 75, reasoning from the unconditional average value. That ignores the information in the owner's acceptance, which is the entire point of the question.

    The second loss is a partial fix: realising acceptance is informative but then bidding a little lower, such as 60, to leave a margin. Any positive bid loses here. Write the expected profit as a function of b and let the algebra say zero.

    What the interviewer asks next

    • What multiplier would make you willing to bid, and how much would you then bid?
    • What if the owner's value is uniform on 50 to 100 instead?
    • How does this relate to a market maker who gets filled on their quotes?
  2. 022A three-way duel: you hit your target with probability 1/3, B with 2/3, and C never misses. You shoot first, then B, then C, repeating in that order until one person is left, and everyone aims to maximise their own survival. Where should you aim your first shot?Games and strategic reasoningHardQuant tradingQuant research

    Try it first

    Which first shot gives you the best chance of surviving?

    Show the worked solution

    Fire into the air. B and C each target the other, the bigger threat, so while both live nobody shoots at you. Aiming in the air gives survival of 2/3 x 3/7 + 1/3 x 1/3 = 25/63, about 39.7%. Aiming at C gives 31.2%, because a hit leaves you in a duel with B shooting first. Aiming at B gives 26.5%, because a hit leaves C, who never misses, to shoot you.

    Who does everyone else aim at?

    Start with the stronger players, because their choices fix yours. B aims at C, because if B shot you instead, C would kill B next turn for certain; C aims at B, the more dangerous of the two remaining threats. So while all three are alive, nobody is shooting at you. Think of two large firms in a price war while a small competitor stays out of it: the small firm's best move is often to let the giants weaken each other.

    The weakest shooter does best by hitting nobodyYour firstshotAim at Csurvive 31.2%hit 1/3: duel B, B shoots first1/7miss 2/3: as if into the air25/63Aim at Bsurvive 26.5%hit 1/3: C shoots you0miss 2/3: as if into the air25/63Fire in the airsurvive 39.7%B hits C, 2/3: duel B, you first3/7B misses, 1/3: C kills B; one shot at C1/3In the air: 2/3 x 3/7 + 1/3 x 1/3 = 25/63 = 39.7%
    Firing into the air gives you 39.7% survival, against 31.2% for aiming at C and 26.5% for aiming at B, because hitting either rival makes you the survivor's only target while missing on purpose lets B and C shoot at each other first.

    How do you work out the two-player duels?

    Against B with you shooting first, you win if you hit now, or if both miss and the same duel restarts. Call your survival x: x = 1/3 + (2/3)(1/3)x, so x = 3/7; if B shoots first, you must survive B's first shot, 1/3 of the time, giving 1/7. Against C you get exactly one shot, since C never misses: 1/3 if you shoot first, 0 if C does. Now combine. In the air: B hits C two times in three, giving you the 3/7 duel; otherwise C kills B and you get your one shot at C, 1/3. Total 25/63.

    The relationship
    Pair=23⋅37+13⋅13=2563PC=13⋅17+23⋅2563=59189PB=23⋅2563=50189P_{\text{air}} = \tfrac23\cdot\tfrac37 + \tfrac13\cdot\tfrac13 = \tfrac{25}{63} \qquad P_{C} = \tfrac13\cdot\tfrac17 + \tfrac23\cdot\tfrac{25}{63} = \tfrac{59}{189} \qquad P_{B} = \tfrac23\cdot\tfrac{25}{63} = \tfrac{50}{189}
    3/7your survival in a duel with B when you shoot first
    1/7your survival in a duel with B when B shoots first
    25/63your survival after a deliberate miss
    What it says in wordsMissing on purpose beats both targeted shots: 75/189 against 59/189 and 50/189.

    What is the general lesson?

    In a game with several players, weakening one rival can hurt you if it frees the strongest remaining player to turn on you. Your best shot is the one that keeps the others focused on each other. Say the limitation too: the answer depends on the hit rates and the order. Change the order of shooting, or let C aim at you, and the tree changes; the interviewer will often change a number or the order to see whether you rebuild the tree or repeat the slogan.

    Where candidates lose it

    The instinctive answer is to shoot at C, the most dangerous player. It ignores what happens after a hit: you have just made yourself B's only target, and B shoots first.

    The second loss is assuming that firing into the air is allowed but not checking it is optimal. Candidates who have heard the answer before often cannot produce 25/63, 59/189 and 50/189 when asked. The numbers are the answer; the slogan is not.

    What the interviewer asks next

    • What if your hit rate were 1/2 instead of 1/3?
    • What if C shot first and you shot last?
    • What is B's overall survival probability when you fire into the air?
  3. 059We play a coin game. I pick a sequence of three heads or tails, you then pick a different sequence after seeing mine, and we flip a fair coin until one of the two sequences appears; whoever's comes first wins. I pick HHH. What do you pick, and how often do you win?Games and strategic reasoningHardQuant tradingProp trading firms

    Try it first

    Which reply to HHH is best?

    Show the worked solution

    Pick THH; you win 7 times in 8. HHH can only win if the first three flips are all heads, which has chance 1/8. In any other run, the first HHH is preceded by a tail, and that tail with the next two heads spells THH, which is completed one flip before HHH. So THH wins every game except the one that opens with three heads.

    Why is this not a fair race between two 1/8 sequences?

    Think of two runners on the same track where one always starts one step ahead of the other on the only route to the finish. Their speeds are identical but the race is not even. In a race between patterns, what matters is not how often each appears but which one tends to appear first, and that depends on how the patterns overlap. THH is built from HHH's own first two heads with a tail placed in front, so it ambushes HHH whenever HHH has not already won at the start.

    Every HHH that is not at the very start has THH inside it, one flip earlierHHH wins only here:HHHflips 1 to 3 all headschance 1/2 x 1/2 x 1/2 = 1/8Any other run, e.g.T1H2T3T4H5H6H7THH done on flip 6HHH only on flip 7: too lateUnless the game opens H H H, the first HHH has a T right before it.That T and the next two heads are THH, completed one flip before HHH.So THH wins 1 - 1/8 = 7/8 of the time.
    HHH wins only when the first three flips are heads, a 1/8 chance; in every other run the first HHH is preceded by a tail, so THH is completed one flip earlier and wins the remaining 7/8 of games.

    How do you prove 7/8 without a Markov chain?

    Look at the first time HHH appears. If it does not start at flip 1, the flip immediately before it must be a tail, because otherwise an earlier HHH would already have appeared. That tail plus the first two heads of the HHH is THH, finished one flip before HHH. So HHH wins only if flips 1 to 3 are heads, chance 1/8, and THH wins otherwise: 7/8. The proof is one sentence, and interviewers want to hear it rather than a transition matrix.

    What is the general lesson for the second mover?

    This is Penney's gameA coin sequence race in which the second player, choosing after seeing the first, can always pick a sequence that wins more than half the time., and the second player always has an edge because the winning relation among three-flip sequences is not transitive: every sequence has another that beats it. The recipe: take the opponent's first two flips, and put in front of them the opposite of the opponent's second flip. Against HHH that gives THH at 7/8; against HTH it gives HHT at 2/3. In trading terms, a strategy that looks as good as any other in isolation can still lose systematically to one designed around it.

    Where candidates lose it

    The trap is answering that every sequence has probability 1/8, so the game is fair, or picking TTT because it has nothing in common with HHH. Both treat the race as independent draws of three flips rather than a stream where patterns overlap.

    The second trap is reaching for a four-state Markov chain and running out of time. The tail-before-the-run argument settles it in one sentence; set up the chain only if asked about a harder pair.

    What the interviewer asks next

    • I pick HTH. What do you pick, and how often do you win?
    • What is the expected number of flips to see HHH, and to see THH?
    • Why can no three-flip sequence be the best first choice?
Fin Maverick Free CoursesExplore Free Courses
Fin Maverick BootcampsExplore Bootcamps
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.