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Portfolio Management interview preparation

Asset allocation, factor models, risk, attribution and implementation, on global and Indian portfolios. 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, and 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
40
Firms
24
Updated
September 2026
Asked at
All firmsBLBlackRock4Vanguard4WMWellington Management4Amundi3ACAQR Capital Management3Neuberger Berman3SCSchroders3Man Group2MSCI2Northern Trust2AllianceBernstein1Apollo Global Management1Blackstone1BMBNY Mellon1Carlyle Group1Fidelity Investments1Goldman Sachs1Invesco1Millennium Management1MSMorgan Stanley1NUNuveen1PIMCO1SSState Street1TPTPG1
Topic
All topicsPortfolio theory5Factor models8Asset allocation11Rebalancing3Portfolio construction7Benchmarks and tracking error5Performance measurement8Risk management6Fixed income and LDI5Currency and global3Implementation and costs5Active versus passive6India markets7Brainteasers5Career and fit16
Level
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Type
AnyTechnicalCaseMarket viewFitBrainteaser
Showing 1–4 of 4 · filtered from 100Clear filters
  1. 041Take me through Sortino, Treynor, Jensen's alpha and Calmar, and tell me when you would use each.Performance measurementIntermediatetechnicalAsset managementFund selection

    Say this

    They differ in what goes in the denominator, and that choice is the whole point. Sortino uses downside deviation, Treynor uses beta, Jensen's alpha is the regression intercept rather than a ratio, and Calmar uses maximum drawdown. Pick the one whose denominator matches the risk your client actually minds.

    Then walk it

    1. Sortino: excess return over a minimum acceptable return, divided by downside deviation below that threshold. Use it when returns are skewed, so an option-selling or credit strategy is not flattered by treating upside surprises as risk.
    2. Treynor: excess return divided by beta. It measures reward per unit of systematic risk, so it is the right measure for one sleeve inside an already diversified portfolio, where idiosyncratic risk has been diversified away and only beta consumes the portfolio's risk budget.
    3. Jensen's alpha: the intercept from regressing excess portfolio return on excess market return. It is a return number, not a ratio, so it does not scale, and two managers with the same alpha and very different tracking errors are not equally good. Also it is single-factor, so most measured Jensen alpha turns out to be size, value or momentum once you extend the model.
    4. Calmar: annualised return divided by maximum drawdown, usually over three years. Crude, but it speaks the language of an investor who will redeem after a bad run, and for managed futures and hedge funds it is the ratio allocators quote.
    5. Which I would use: information ratio for a benchmarked long-only manager, Sortino and Calmar for absolute return strategies, Treynor for a component inside a portfolio, and a multi-factor alpha rather than Jensen's for any real attribution.
    6. The shared weakness is sample size. All of these are ratios of noisy estimates, and drawdown-based measures are the worst because maximum drawdown is a single realised event, so Calmar effectively has one observation in it.

    Where candidates lose it

    Reciting four formulas without pairing each to a use case. The distinguishing detail is why Treynor uses beta rather than total volatility, and the fact that Jensen's alpha is a single-factor intercept that usually evaporates against a multi-factor model. Also say that maximum drawdown is one realised event, so drawdown ratios are the least statistically reliable of the set.

    Expect next

    • Why does Treynor use beta instead of volatility?
    • What happens to Jensen's alpha when you add momentum to the model?
    • Which would you show a pension trustee?
  2. 042Walk me through Brinson attribution.Performance measurementIntermediatetechnicalAsset managementPerformance analysis

    Say this

    It splits excess return into three parts: allocation, from over or underweighting a segment, selection, from picking better securities inside a segment, and interaction, the cross term. Do it segment by segment and the three components sum to the total excess return.

    Then walk it

    1. Set up four numbers per segment: portfolio weight, benchmark weight, portfolio return within the segment, benchmark return within the segment.
    2. Allocation effect equals the weight difference times the benchmark segment return minus the total benchmark return. So you are rewarded for overweighting segments that beat the overall benchmark, which is the correct definition of a good allocation decision.
    3. Selection effect equals the benchmark weight times the difference between your return and the benchmark's return in that segment. It isolates stock picking at neutral weight.
    4. Interaction equals the weight difference times the return difference. It captures the fact that good picking in an overweighted segment gets amplified.
    5. A worked example: you hold 30 percent in technology against a 20 percent benchmark weight, technology returns 15 percent against a total benchmark of 8 percent, and your tech holdings return 18 percent. Allocation is 10 points times 7 percent, so 70 basis points. Selection is 20 percent times 3 percent, 60 basis points. Interaction is 10 percent times 3 percent, 30 basis points.
    6. Two practical warnings. First, the segments must match how decisions are actually made, so sector attribution on a manager who thinks in factors tells you nothing. Second, single-period effects do not simply add up over time, so multi-period attribution needs a linking method such as Carino or Menchero, and the residual from naive compounding confuses a lot of client reports.

    Where candidates lose it

    Getting the allocation formula wrong by using the segment return rather than the segment return minus the total benchmark return. Without that subtraction you credit a manager for overweighting anything that went up, even something that lagged the index. And be ready for the multi-period linking point, because that is the follow-up that catches people who only know the single-period formulas.

    Expect next

    • What is the interaction term really telling you?
    • How do you link attribution across periods?
    • What if the manager does not think in sectors at all?
  3. 045How would you assess a fund's performance?Performance measurementIntermediatetechnicalNeuberger BermanPrivate Equity · London · 2022

    Say this

    Against the right benchmark, net of everything, decomposed into exposures, and over a period long enough to mean something. Then check that the returns came from the process the manager claims, because that is the only part that tells you anything about the future.

    Then walk it

    1. First the mechanics: net of all fees and costs, time-weighted for a fund and money-weighted only if I am measuring my own experience of it, and against a benchmark matched to the opportunity set rather than a convenient one.
    2. Then decompose. Split excess return into market beta, factor exposures and residual. If a 4 percent excess return is 3 points of small cap and value tilt, I am buying cheap beta at active prices.
    3. Then look at risk-adjusted, not absolute: information ratio against the benchmark, maximum drawdown, and the worst rolling twelve months. And look at the shape of the return series, because a fund that made everything in two quarters is a different proposition from one that grinds.
    4. Then consistency with the stated process. Hit rate, average winner versus average loser, turnover, and whether attribution matches the story. A manager who claims bottom-up picking while the returns come from sector allocation has a process-outcome mismatch, which is the most useful red flag there is.
    5. Then the statistics honesty: five years of monthly returns cannot distinguish skill from luck at any sensible confidence level, so I would weight process, team stability and capacity at least as heavily as the numbers.
    6. For private funds the measures change: IRR is money-weighted and flattered by subscription lines and early exits, so I would look at TVPI and DPI, compare against a public market equivalent, and check the vintage-year cohort rather than the absolute number. Unrealised marks in a young fund are the manager's own opinion.

    Where candidates lose it

    Going straight to returns and Sharpe ratios. The two things that earn this question are decomposing the excess return into replicable factor exposures, and admitting the sample is too short to prove skill. Since the seat here touches private markets, say why IRR is flattered and that DPI and public market equivalent are the honest comparisons.

    Expect next

    • How is assessing a private fund different?
    • How long a record would you want?
    • What would make you redeem?

    Reported by candidates at Neuberger Berman (Private Equity, London, 2022). Source: Wall Street Oasis.

  4. 047Time-weighted or money-weighted returns, which do you report and why?Performance measurementIntermediatetechnicalAsset managementWealth management

    Say this

    Report time-weighted for the manager and money-weighted for the client. Time-weighted strips out the effect of cash flows the manager did not control, which is the fair way to judge the manager. Money-weighted, the IRR, measures what the investor actually earned on the money they had invested.

    Then walk it

    1. Time-weighted chains together sub-period returns, breaking the series at every external cash flow, so a large contribution just before a bad quarter does not penalise the manager. That is why GIPS requires it for composite reporting.
    2. Money-weighted solves for the discount rate that sets the present value of all flows to zero. It is sensitive to timing and size, which is exactly right if you want to know whether the investor's own decisions helped or hurt.
    3. The gap between the two is the behaviour gap, and it is large. Dalbar and Morningstar studies repeatedly find investor returns trail fund returns by 1 to 2 percentage points a year, entirely from buying after good performance and selling after bad.
    4. So the two numbers answer different questions and both belong in a client report: here is what the strategy did, here is what you earned, and here is the difference your timing made. That conversation is far more useful than either number alone.
    5. Where money-weighted is mandatory: private equity, private credit, infrastructure, anything where the manager controls the drawdown schedule. If the manager decides when the capital comes in, they must be judged on the money-weighted outcome.
    6. And the standard caveats: IRR assumes interim distributions are reinvested at the IRR itself, which is rarely true, it can be undefined or multiple with irregular sign changes, and it can be flattered by early distributions or a credit facility that delays the first capital call.

    Where candidates lose it

    Picking one and treating the other as wrong. The useful answer allocates each to the right question and names the case where money-weighted is compulsory, private markets, because the manager controls the timing. Mentioning the behaviour gap with a number turns this from a definition into an insight.

    Expect next

    • Why is IRR the industry standard in private equity?
    • How does a subscription line flatter an IRR?
    • How would you explain the gap to a client who underperformed their own fund?

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.

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100 Portfolio Management puzzles, solved step by step

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100 Portfolio Management 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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