Equity Research interview preparation

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

1. 011How would you hedge a name that does not have a close public comparable?Portfolio and riskHardsuperdayBalyasny Asset ManagementEquity Research · New York · 2026

   Say this

   Hedge the exposures rather than the company. Decompose the position into its factor risks, market beta, sector, style, currency, commodity input, then hedge each with whatever liquid instrument matches it.

   Then walk it

   1. Start by decomposing: run the stock against factor returns and see what it is actually exposed to. Often a 'unique' business is really a bundle of common exposures.
   2. Hedge the market beta with an index future, sized on the regression beta rather than one.
   3. Hedge sector exposure with the closest sector ETF, accepting that the fit is imperfect. An imperfect hedge that removes 60 percent of the variance is better than no hedge.
   4. Hedge the specific input if there is one: a fuel-exposed business can be partly hedged with the commodity, a foreign earner with FX forwards.
   5. Then accept and size for the residual. The leftover idiosyncratic risk is the part you are actually being paid for, so the honest answer is that you hedge what you do not have a view on and hold what you do.
   6. And the practical constraint on a multi-manager platform: the risk system will impose factor limits anyway, so the hedge is often not optional. Saying that shows you understand how these seats actually operate.

   Where candidates lose it

   Reaching for a single 'closest competitor' short. If there were a close comp the question would not have been asked. The expected answer is factor decomposition, and naming the residual idiosyncratic risk as the intended exposure.

   Expect next

   • What residual risk are you left with?
   • How would you size the position?
   • What factor limits would you expect to operate under?

   Reported by candidates at Balyasny Asset Management (Equity Research, New York, 2026). Source: Wall Street Oasis.

2. 031How do you decide when to sell?Portfolio and riskHardsuperdayAsset managementHedge funds

   Say this

   Three reasons and only three: the thesis played out and the price reflects it, the thesis is broken, or something better came along. Never sell because the price fell, and never hold because you are down.

   Then walk it

   1. Thesis achieved: the variant view became consensus and the upside to your revised target is no longer compelling. This is the happy case and people systematically sell too early here.
   2. Thesis broken: the specific thing you said would happen did not, or a fact you relied on turned out false. This should trigger a sale regardless of price, and it is where writing down the falsifier in advance pays for itself.
   3. Better use of capital: opportunity cost. In a concentrated portfolio every new idea must displace something, which imposes useful discipline.
   4. What is not a reason: the price fell, so it is cheaper now. That is only a reason to buy more if the thesis is intact, and only if you have checked rather than assumed.
   5. The behavioural safeguards: a written thesis with falsifiers, a scheduled review after every result, and a rule that you re-underwrite a position from scratch rather than defending your existing note.
   6. And separate trimming from selling. Reducing on valuation while the thesis compounds is a different decision from exiting, and conflating them is how people sell their best ideas.

   Where candidates lose it

   Giving a price-based rule like a fixed stop loss as the whole answer. For fundamental investing, the sell decision is thesis-based. Stops are a risk management overlay, not a research judgement, and saying only that reveals a trader's frame in a research seat.

   Expect next

   • How do you avoid selling winners too early?
   • Do you use stop losses?
   • How do you re-underwrite a position?
3. 032How do you size a position?Portfolio and riskHardsuperdayHedge fundsAsset management

   Say this

   By conviction and by downside, not by expected upside. The question is how much you lose if you are wrong, multiplied by how likely that is, against the portfolio's tolerance for that loss.

   Then walk it

   1. Start from the downside. If the bear case is minus 40 percent and you would be uncomfortable losing more than 2 percent of the fund on one name, the position is capped at about 5 percent.
   2. Then conviction, which really means how confident you are in the analysis and how falsifiable it is. A thesis with a clear near-term test supports a larger position than one that depends on a five-year structural view.
   3. Then correlation. Three positions expressing the same macro view are one position. Sizing has to be done at the portfolio level or you accumulate hidden concentration.
   4. Then liquidity: how many days of average volume is the position, and can you exit it in a stressed market? Illiquidity is a real constraint on size regardless of conviction.
   5. The Kelly criterion is the theoretical frame, but full Kelly is far too aggressive in practice because you cannot estimate probabilities that precisely. Most investors run a fraction of it, and saying that shows you know the theory and its limits.
   6. In a multi-manager seat, most of this is imposed by the risk system anyway, and the analyst's job is to argue for the sizing within those limits.

   Where candidates lose it

   Sizing by upside. Everyone's best idea has the most upside, and sizing on that alone is how funds blow up. Downside and correlation are the content of a real answer.

   Expect next

   • What is your maximum position size?
   • How do you handle correlated positions?
   • Would you add to a loser?
4. 065How would you allocate a $100 million mandate across a portfolio of funds?Portfolio and riskHardsuperdayMSCIRisk Management · Remote · 2013The Vanguard GroupInvestment Research · Malvern · 2024

   Say this

   Start from the objective and the constraints, not from the funds. Required return, risk tolerance, liquidity needs, time horizon and any restrictions. Then build the strategic asset allocation, then select managers within it.

   Then walk it

   1. Establish the mandate first: what return is required, over what horizon, with what drawdown tolerance, what liquidity is needed and what restrictions apply. Everything follows from these.
   2. Set the strategic asset allocation across asset classes. That decision drives the large majority of the variance in outcomes; manager selection is second-order.
   3. Then decide active versus passive by asset class. Use passive where markets are efficient and active where dispersion is high and there is evidence of persistent skill.
   4. Then select managers on process rather than past returns. Understand the source of the edge, whether the team is stable, whether assets have grown beyond the capacity of the strategy, and what the fee structure does to net returns.
   5. Then look at the combination rather than each fund alone. Correlation between managers is what determines portfolio risk, and three managers running the same factor exposure is one position with three fee loads.
   6. Then build in the governance: rebalancing rules, review triggers, and a plan for what would cause redemption. Deciding the sell criteria in advance is what prevents performance-chasing.

   Where candidates lose it

   Jumping straight to picking funds. The correct structure is objectives, then asset allocation, then managers, then monitoring. Also, ignoring correlation between managers, which is the most common real-world error in multi-manager portfolios.

   Expect next

   • What risk-return targets would you set for an institutional investor?
   • How do you judge whether a manager has skill or luck?
   • How would you build a portfolio for different client needs?

   Reported by candidates at MSCI (Risk Management, Remote, 2013); The Vanguard Group (Investment Research, Malvern, 2024). Source: Wall Street Oasis.

5. 066How do you distinguish manager skill from luck?Portfolio and riskHardsuperdayAsset managementMulti-manager allocation

   Say this

   You mostly cannot from returns alone, because the sample is too short. So you examine the process, the consistency of the attribution, and whether the returns come from the stated edge rather than from an unintended factor bet.

   Then walk it

   1. The statistical problem: distinguishing a genuinely skilled manager from a lucky one at conventional confidence levels can require decades of monthly returns. Three or five years tells you very little.
   2. So use attribution instead. Decompose returns into market beta, factor exposures and residual alpha. A manager whose returns are explained by a persistent small-cap value tilt is selling you beta at alpha fees.
   3. Check consistency with the stated process. If they claim bottom-up stock selection but the returns are explained by sector allocation, the process and the outcome do not match, which is a warning.
   4. Look at the breadth of the record: how many independent decisions produced it? A concentrated fund with three big winners has a much weaker statistical case than a diversified one with a consistent hit rate.
   5. Then the qualitative work: is the team stable, has the strategy scaled beyond its capacity, and has the process changed after the good years?
   6. The honest conclusion is that manager selection is genuinely hard and that the base rate of persistent outperformance after fees is low. An allocator who says that sounds more credible than one who claims a reliable method.

   Where candidates lose it

   Answering 'look at the track record and the Sharpe ratio'. The point of the question is that returns data is statistically almost useless over realistic horizons. Attribution and process are the substance.

   Expect next

   • How long a record would you need?
   • What is capacity and why does it matter?
   • Would you fire a manager after two bad years?
6. 067What is tracking error and how do you calculate it?Portfolio and riskIntermediatetechnicalMSCIFinancial Tools · Monterrey · 2013

   Say this

   The standard deviation of the difference between the portfolio's returns and the benchmark's. It measures how far a portfolio can drift from its index, and it is the budget within which an active manager operates.

   Then walk it

   1. Calculate the active return each period, portfolio minus benchmark, then take the standard deviation of that series, usually annualised.
   2. Ex-post tracking error uses realised returns. Ex-ante uses a risk model to forecast it from current holdings, which is what a risk system reports daily.
   3. Typical levels: an index fund runs a few basis points, an enhanced index strategy 1 to 2 percent, an active manager 4 to 8 percent, and a concentrated high-conviction fund can be well above that.
   4. It connects to the information ratio, which is active return divided by tracking error. That ratio, not raw outperformance, is how skill per unit of risk is judged.
   5. The main use is as a constraint: a mandate sets a tracking error budget, and the manager allocates it to the positions with the highest expected information ratio.
   6. The subtlety worth naming: tracking error is symmetric, so it penalises outperformance as well as underperformance. A manager can have excellent returns and breach a tracking error limit, which is why the constraint sometimes forces suboptimal decisions.

   Where candidates lose it

   Confusing it with volatility. Tracking error is the volatility of the difference, not of the portfolio. A low-volatility portfolio can have very high tracking error against a volatile index.

   Expect next

   • What is the information ratio?
   • What tracking error would you expect from a concentrated fund?
   • How does a tracking error budget change portfolio construction?

   Reported by candidates at MSCI (Financial Tools, Monterrey, 2013). Source: Wall Street Oasis.

7. 068What is the difference between alpha and beta, and why does it matter to an employer?Portfolio and riskCoretechnicalHWHarris WilliamsInvestment Banking · Los Angeles · 2025BLBlackRockRisk and Quantitative Analysis · New York · 2026

   Say this

   Beta is the return you get from market exposure, which anyone can buy cheaply. Alpha is the return above what that exposure explains. It matters because clients will not pay active fees for something an index fund delivers.

   Then walk it

   1. Formally, regress portfolio returns on market returns. The slope is beta, the intercept is alpha.
   2. Beta is commoditised. An index fund delivers it for a few basis points, so a manager charging 1 percent for closet-index beta is destroying value for the client.
   3. Alpha is the residual and it is scarce. The difficulty is that much apparent alpha turns out to be exposure to a factor that was not in the simple model, which is why multi-factor attribution matters.
   4. The industry consequence is the shift to passive and the barbell: cheap beta at one end, genuinely differentiated high-conviction or alternative strategies at the other, with the middle being squeezed out.
   5. For a multi-manager platform the framing goes further: the platform wants pure idiosyncratic alpha and hedges out the factor exposure centrally, which is exactly why analysts there are asked about hedging and factor neutrality.
   6. So the practical answer to 'why does it matter' is that your job is to produce the part that cannot be bought for four basis points.

   Where candidates lose it

   Defining the terms without the commercial implication. The reason this gets asked is the fee model of the entire industry, and connecting it to why active management is under pressure is what makes the answer land.

   Expect next

   • How much apparent alpha is really factor exposure?
   • Why has money moved to passive?
   • How does a multi-manager platform think about this?

   Reported by candidates at Harris Williams (Investment Banking, Los Angeles, 2025); BlackRock (Risk and Quantitative Analysis, New York, 2026). Source: Wall Street Oasis.

8. 070How would you build a portfolio for clients with different needs and requirements?Portfolio and riskIntermediatetechnicalThe Vanguard GroupInvestment Research · Malvern · 2024ScotiabankSales and Trading · Toronto · 2025

   Say this

   Start from the liability, not the assets. What is the money for, when is it needed, and what loss can the client tolerate without abandoning the plan? Then build the allocation to match, and only then pick instruments.

   Then walk it

   1. Establish the objective and the horizon. A retirement pot 30 years out and a house deposit in two years require opposite portfolios regardless of the client's stated risk appetite.
   2. Separate risk capacity from risk tolerance. Capacity is what their circumstances can absorb; tolerance is what they can emotionally sustain. Build to the lower of the two, because a portfolio abandoned in a drawdown fails whatever its expected return.
   3. Set the strategic asset allocation across equities, fixed income, and any alternatives or real assets. This is the decision that matters most.
   4. Then the constraints: tax status and the right account wrappers, liquidity needs, existing concentrated positions, currency exposure, and any ethical restrictions.
   5. Then instrument selection, favouring low-cost broad exposure as the core, with active or satellite positions only where there is a reason to expect an edge.
   6. Then the governance: a rebalancing rule, a review schedule, and a written plan for what happens in a drawdown. Agreeing the behaviour in advance is the single highest-value thing an adviser does.

   Where candidates lose it

   Starting from products and risk questionnaires. The professional sequence is objective, then capacity and tolerance, then allocation, then instruments. Also failing to distinguish capacity from tolerance, which is the distinction that actually protects clients.

   Expect next

   • How would that differ for a 25-year-old and a 65-year-old?
   • How do you handle a client with a concentrated stock position?
   • What do you do when a client wants to sell in a crash?

   Reported by candidates at The Vanguard Group (Investment Research, Malvern, 2024); Scotiabank (Sales and Trading, Toronto, 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.