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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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Showing 1–2 of 2 · filtered from 100Clear filters
  1. 001What does modern portfolio theory actually say, and what does it get wrong?Portfolio theoryIntermediatetechnicalNorthern TrustAsset Management · Chicago · 2025

    Say this

    It says risk and return are properties of the portfolio, not of the asset, so the only thing that matters about a holding is what it adds to the whole. What it gets wrong is the inputs. It assumes you know expected returns, variances and correlations, and you do not.

    Then walk it

    1. The core insight: combine assets whose returns do not move together and total risk is lower than the weighted average of the parts. Diversification reduces risk without giving up expected return.
    2. That produces the efficient frontier, the set of portfolios with the highest expected return at each level of volatility, and the claim is that a rational investor holds one of them.
    3. So the decision rule changes. You stop asking whether an asset is good and start asking what it adds to what you already own. A 25 percent volatility asset with low correlation can lower portfolio risk.
    4. Where it breaks: expected returns are estimated with huge error, correlations are unstable and rise exactly when you need them low, and returns are fat-tailed and skewed rather than normal.
    5. It is also single-period and uses one risk measure. Real investors care about drawdown, liquidity and the path, because they have to fund something along the way.
    6. So my honest position is that the framework for thinking is right and still how the industry is organised, but the mechanical optimiser built on it is not trustworthy. That is why shrinkage, Black-Litterman and risk-based methods exist.

    Where candidates lose it

    Reciting the assumption list, normal returns and rational investors and no taxes, as if listing assumptions were the same as criticising the theory. The criticism that matters is estimation error in expected returns. Say that and you sound like someone who has actually run an optimiser.

    Expect next

    • Which input is the optimiser most sensitive to?
    • So do you use mean-variance optimisation at all?
    • What happens to the frontier when you add a no-shorting constraint?

    Reported by candidates at Northern Trust (Asset Management, Chicago, 2025). Source: Wall Street Oasis.

  2. 003Why does diversification work, and where does it stop working?Portfolio theoryIntermediatetechnicalNorthern TrustAsset Management · Chicago · 2025

    Say this

    It works because idiosyncratic risks partly cancel, so portfolio variance falls faster than expected return does. It stops working once you have removed the diversifiable part, because what is left is systematic risk that every holding shares.

    Then walk it

    1. The arithmetic: portfolio variance depends on the average variance divided by the number of holdings, plus the average covariance. The first term shrinks toward zero as you add names, the second does not.
    2. So the average covariance is the floor. In a single equity market, roughly 25 to 30 reasonably spread names get you most of the way, and the marginal benefit after that is small.
    3. That is why the next step is diversifying across things with genuinely different drivers: other markets, other asset classes, duration, real assets. Thirty Indian banks are not a diversified portfolio.
    4. Where it stops working: in a liquidity event, everything correlated to the same funding conditions moves together. In March 2020 credit, equities, EM, even gold for a few days, all fell at once because people were selling what they could.
    5. It also stops working when the diversification is only nominal. Three funds that all own the same quality-growth factor are one position with three fee loads, and that only shows up in a factor decomposition.
    6. So my summary: diversification removes stock-specific risk cheaply and reliably, and does almost nothing about the systematic risk you are actually paid for. Anyone who claims a portfolio is safe because it is diversified has confused the two.

    Where candidates lose it

    Saying more names is always better. Past roughly 30 well-spread holdings you are adding cost, monitoring burden and closet indexing, not risk reduction. The interviewer wants the covariance floor, and wants you to name the crisis case where correlations converge.

    Expect next

    • How many stocks do you actually need?
    • What happened to correlations in March 2020?
    • How would you check whether two funds are really diversifying each other?

    Reported by candidates at Northern Trust (Asset Management, Chicago, 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.

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100 Portfolio Management case studies, worked step by step

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