Portfolio Management interview preparation

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

AnyCoreIntermediateHard

Type

AnyTechnicalCaseMarket viewFitBrainteaser

1. 051Explain path dependency and why the sequence of returns matters so much to a real portfolio.Risk managementHardsuperdayWealth managementPension and endowment investing

   Say this

   Because compounding is multiplicative and because real portfolios have cash flows. With no flows, order does not change the terminal value. Add contributions or withdrawals and the order changes everything, because a loss suffered when the balance is largest is a far bigger loss in money terms.

   Then walk it

   1. Start with the pure case: the same set of returns in any order gives the same compounded total. So path dependency is not about arithmetic on the returns themselves.
   2. It bites through cash flows. A retiree drawing 5 percent a year who meets a 30 percent fall in years one and two sells units at the bottom and may never recover, while the same returns arriving in years nine and ten leave them comfortable. Identical average return, completely different outcome.
   3. Same mechanism on the accumulation side but with the opposite sign: a young saver with a small balance benefits from an early crash, because most of their contributions buy in cheaply. Sequence risk is largest when the pot is largest relative to remaining contributions, which is the decade around retirement.
   4. Then the volatility drag, which is the second channel. Geometric return is below arithmetic return by roughly half the variance, so plus 50 then minus 50 leaves you at 75. Higher volatility mechanically lowers terminal wealth even with the same average return, which is the real argument for risk control rather than return maximisation.
   5. Institutionally the same thing appears as forced selling: a pension paying benefits, an endowment funding a spending rule, a fund meeting redemptions. All of them convert a paper drawdown into a permanent loss because units are sold at the bottom.
   6. So the design responses are all about the path: a liquidity bucket or bond ladder covering a few years of outflows, glide paths that de-risk into the drawdown phase, flexible spending rules, and managing to drawdown rather than to volatility. Reporting an expected return without the path is close to useless for anyone with obligations.

   Where candidates lose it

   Answering only with the volatility drag arithmetic. That is one channel. The larger one is cash flows: order does not matter without flows and dominates with them. Naming the pre-retirement decade as the point of maximum sequence risk shows you understand why glide paths exist, rather than just repeating that they do.

   Expect next

   • How would you protect a client in the five years before retirement?
   • How does this affect a pension's liquidity policy?
   • What is volatility drag and how big is it?
2. 052How do you think about portfolio risk and transaction cost together, rather than separately?Risk managementHardsuperdayMan GroupInvestment Management · Boston · 2022

   Say this

   You put them in the same objective function. The portfolio you want and the portfolio you can afford to get to are different, so the right target is the one that maximises expected return minus a risk penalty minus the cost of trading there from where you actually are.

   Then walk it

   1. The naive process runs in sequence: optimise for risk and return, hand the trade list to the desk, discover that the turnover costs more than the expected edge. Anything with fast-decaying signals dies this way.
   2. The integrated version maximises alpha minus lambda times variance minus the trading cost of moving from current to target weights. Because market impact is roughly proportional to the three-halves or square of size, the cost term is convex, which naturally produces partial rather than complete trades.
   3. That gives the no-trade region. For each position there is a band around the ideal weight where the expected improvement does not cover the cost of getting there, so you leave it alone. That single idea cuts turnover enormously with almost no loss of expected return.
   4. It also changes what a risk limit means. If reducing an exposure costs 60 basis points in impact, a hard limit breach is a genuine trade-off rather than an automatic trade, and the correct response might be to hedge with a liquid proxy today and unwind the physical slowly.
   5. Liquidity becomes a risk input rather than an operational detail. I would hold days-to-liquidate per position, size illiquid names accordingly, and treat capacity as part of the risk model. A portfolio that takes 15 days to exit has a risk profile that no covariance matrix captures.
   6. And the cost estimate has to be the firm's own. Vendor models are a starting point, but the only credible input is your own realised slippage by name, size and market condition, fed back into the optimiser. Otherwise you are optimising against a fiction.

   Where candidates lose it

   Treating trading cost as the execution desk's problem that arrives after portfolio construction. In a systematic seat the expected answer is a single objective function with a convex cost term, and the concept to name is the no-trade band. Saying you would calibrate the cost model on the firm's own realised slippage rather than a vendor default is what makes it sound like experience.

   Expect next

   • How would you estimate market impact?
   • What does the no-trade band do to turnover?
   • How would you handle a risk limit breach in an illiquid name?

   Reported by candidates at Man Group (Investment Management, Boston, 2022). Source: Wall Street Oasis.

3. 053You inherit a portfolio with thirty positions and you suspect they express the same underlying bet. How do you find out?Risk managementIntermediatecase studyRisk managementMulti-asset

   Say this

   Decompose the portfolio rather than reading the position list. Run it through a factor model, look at the risk contributions instead of the weights, and do a principal component analysis of the holdings' returns. If one component explains most of the variance, you have one position in thirty wrappers.

   Then walk it

   1. Step one, risk contribution not capital weight. Marginal contribution to risk will often show that four names out of thirty account for 60 percent of the risk, which is the first thing the weights hide.
   2. Step two, factor decomposition. Run active exposures against a standard model: market, size, value, momentum, quality, plus rates, credit spread, dollar and oil. Thirty stocks that are really one duration bet will show it immediately as a single dominant factor exposure.
   3. Step three, principal components on the return series. If PC1 explains 70 percent of the portfolio's variance and loads on everything with the same sign, the diversification is cosmetic. Then interpret what PC1 is by correlating it with observable macro series.
   4. Step four, stress and scenario. Apply specific shocks: 100 basis points on real yields, 20 percent oil, a 10 percent dollar move, a credit spread doubling. A portfolio whose entire loss in every scenario comes from the same channel has one bet.
   5. Step five, the qualitative overlay the models miss. Shared supply chain, shared customer, shared regulator, shared funding source. In 2023 a portfolio of regional bank stocks looked diversified across thirty names and was actually one bet on deposit behaviour and held-to-maturity marks.
   6. Then the action: cut the aggregate exposure rather than trimming every name a little, or hedge the common factor with a liquid instrument and keep the idiosyncratic residual, which is presumably what the manager is actually paid for.

   Where candidates lose it

   Answering 'look at the correlation matrix'. A pairwise matrix on thirty names is 435 numbers and will not tell you what the common bet is. The expected answer names risk contribution, a factor decomposition, and principal components, and it finishes with an action, hedge the common factor and keep the residual.

   Expect next

   • How would you interpret the first principal component?
   • Would you cut positions or hedge the factor?
   • What common exposures would a factor model miss?
4. 054What is duration, and what is effective duration?Fixed income and LDIIntermediatetechnicalAmundiRates · London · 2018

   Say this

   Macaulay duration is the weighted average time to receive the cash flows. Modified duration converts that into a price sensitivity, roughly the percentage price change for a 1 percent yield move. Effective duration is the empirical version for bonds whose cash flows change with rates, so it is the only one that works for callables, mortgages and anything with an option.

   Then walk it

   1. Modified duration equals Macaulay divided by one plus the yield per period. A modified duration of 7 means about a 7 percent price fall for a 100 basis point rise in yield, before convexity.
   2. Effective duration, sometimes called option-adjusted duration, is computed numerically: shift the whole yield curve up and down by a small amount, revalue the bond with its options repriced, and take the price difference over twice the shift.
   3. Why you need it: a callable bond's cash flows are not fixed. When yields fall, the issuer calls, so the bond does not rally as a straight bond would. Its effective duration shortens as yields fall, which is negative convexity.
   4. Mortgage-backed securities are the extreme case. Prepayments accelerate when rates fall and slow when rates rise, so effective duration extends exactly when you do not want it to. That extension risk is what made MBS books painful in 2022.
   5. Portfolio duration is the market-value weighted average of the components' durations, which is how you manage a book to a target. But a single duration number assumes a parallel shift, so I would hold key-rate durations alongside it to see curve exposure, because a barbell and a bullet with the same duration behave differently when the curve twists.
   6. The practical limitation: duration is a first-order local approximation. For a 25 basis point move it is fine, for 200 basis points you need the convexity term as well, and for anything with embedded optionality the full revaluation is the only honest answer.

   Where candidates lose it

   Defining duration as 'the time to maturity' or conflating Macaulay and modified. And if you are asked for effective duration specifically, the interviewer is testing whether you know that cash flows can change with rates. Mention callables or mortgages and negative convexity, or the answer is incomplete.

   Expect next

   • What is negative convexity and who has it?
   • Why is a single duration number not enough?
   • What is the duration of a floating rate note?

   Reported by candidates at Amundi (Rates, London, 2018). Source: Wall Street Oasis.

5. 055What is liability-driven investment, and why do pension schemes do it?Fixed income and LDIIntermediatetechnicalPension and endowment investingFixed income

   Say this

   LDI defines risk as the mismatch between assets and liabilities rather than as asset volatility, and builds the portfolio to hedge the liability's sensitivity to rates and inflation. Schemes do it because the liability is a long, inflation-linked bond, so an unhedged scheme is running a huge implicit rates position.

   Then walk it

   1. Start with the liability. Pension promises are a stream of payments stretching decades out, often indexed, discounted at a market rate. So liability value has a duration of maybe 15 to 25 years and significant inflation sensitivity.
   2. That means a scheme holding equities and short bonds is short a long-duration inflation-linked bond. A 100 basis point fall in real yields can add 20 percent to the liability value while the assets barely move, and the deficit widens even though nothing went wrong with the investments.
   3. So LDI matches the sensitivities: hold long-dated and index-linked government bonds, and top up the hedge synthetically with interest rate and inflation swaps, or with repo on gilts, so you can achieve the required duration without putting all the capital in bonds.
   4. That capital efficiency is the point and also the danger. Leverage via repo and swaps means collateral calls when yields rise. The UK in September 2022 is the case study: yields spiked, schemes faced collateral calls, gilts were sold to meet them, which pushed yields higher again. A hedging programme became a forced-selling spiral.
   5. So the design questions are the hedge ratio, usually set as a percentage of liability duration hedged and often stepped up as funding improves, the collateral waterfall, and how much liquid headroom sits behind the leverage. After 2022 schemes hold far more collateral buffer.
   6. The honest tension: hedging locks in the funding position, so a scheme that hedges fully gives up the chance of closing a deficit through market returns. That is why the hedge ratio is a governance decision about deficit tolerance, not a purely technical one.

   Where candidates lose it

   Describing LDI as 'buying long bonds'. The mechanism that matters is hedging the liability's rate and inflation sensitivity, usually synthetically with leverage, and the risk that matters is collateral. If you cannot explain the September 2022 gilt episode, you do not understand LDI as it is actually practised.

   Expect next

   • What happened to UK schemes in September 2022?
   • How would you set the hedge ratio?
   • What collateral buffer would you hold?
6. 056How would you actually match a liability stream with a bond portfolio?Fixed income and LDIHardsuperdayFixed incomePension and endowment investing

   Say this

   Three approaches, increasingly approximate. Cash flow matching buys bonds whose coupons and maturities fund each payment, which removes reinvestment risk entirely. Immunisation matches duration and present value. Duration matching on a single number is the crudest, and it only works for parallel curve shifts.

   Then walk it

   1. Cash flow matching, sometimes called dedication: build a ladder so each year's payments are met by maturing principal and coupons. It is the cleanest hedge and needs no rebalancing, but it needs bonds at every maturity, which does not exist beyond 30 years in most markets, and it is expensive.
   2. Immunisation: match present value and duration, and make sure asset convexity is at least as high as liability convexity. Then a small parallel shift leaves the surplus unchanged. It needs rebalancing because durations drift at different speeds as time passes and yields move.
   3. The gap between them is the curve. A liability with 18 years of duration can be matched by a bullet at 18 years or a barbell of 5s and 30s. Same duration, very different behaviour if the curve steepens, so I would match key-rate durations at several points rather than one summary number.
   4. Then the parts you cannot match with bonds. Longevity risk, inflation beyond the index-linked market's capacity, and any real return requirement if the scheme is in deficit. That residual is what the return-seeking portfolio and, increasingly, a longevity swap or buy-in exists to cover.
   5. Practically, most schemes do it synthetically: physical bonds for the core, plus swaps or gilt repo to extend duration to 20 or 25 years without tying up all the capital, which leaves assets free for the growth portfolio.
   6. And then the operational governance: a collateral schedule, eligible collateral, a liquidity waterfall, and a stress test asking what a 150 basis point yield rise does to collateral calls over a week. That is the part that failed in 2022, and I would present it as part of the matching design rather than an afterthought.

   Where candidates lose it

   Saying 'match the duration' and stopping. Duration matching only immunises against a parallel shift, and real liabilities are exposed to the shape of the curve, so key-rate duration matching is the expected refinement. Also name what bonds cannot hedge, longevity and the deficit, because a candidate who thinks the liability can be fully hedged has not met a real scheme.

   Expect next

   • Why does convexity need to be at least as high on the asset side?
   • How do you hedge inflation beyond the linker market's capacity?
   • What would a 150 basis point yield rise do to your collateral?
7. 057What is convexity, and why does a duration-matched portfolio still carry risk?Fixed income and LDIIntermediatetechnicalFixed incomeMulti-asset

   Say this

   Convexity is the curvature of the price-yield relationship, the second-order term. Duration alone understates the gain when yields fall and overstates the loss when they rise. A duration match still carries risk because duration is local and linear, and because the curve does not move in parallel.

   Then walk it

   1. The price change is approximately minus duration times the yield change plus half the convexity times the yield change squared. For a 25 basis point move the second term is negligible; for 200 basis points it is material and it works in your favour on a long bond.
   2. Positive convexity is a good thing you pay for through a lower yield. Low coupon, long maturity bonds have the most, which is why a 30 year zero is the most convex instrument in the government curve.
   3. Negative convexity is the interesting case. Callable bonds and mortgage-backed securities lose duration as yields fall, because the borrower refinances, so you get less of the rally and all of the sell-off. Holders are compensated with extra spread, and in 2022 that compensation turned out to be inadequate.
   4. Risk one after a duration match: the second-order term. If liability convexity exceeds asset convexity, a large move in either direction widens the deficit. So immunisation requires matching convexity as well, or at least holding more of it than the liability.
   5. Risk two, curve shape. Duration assumes a parallel shift. A barbell and a bullet with equal duration diverge when the curve steepens or flattens, which is why key-rate durations matter.
   6. Risk three, the things duration does not see at all: spread risk if you used credit rather than governments, inflation basis if the liability is indexed and the assets are nominal, and the drift in both durations as time passes, which forces periodic rebalancing.

   Where candidates lose it

   Defining convexity as a formula without saying who is short it and why. The sharp answer names negative convexity in callables and mortgages, and it says that a duration match still leaves convexity, curve shape and spread risk. Saying convexity is 'always good' is wrong: you pay for it in yield.

   Expect next

   • Who is naturally short convexity?
   • How would you hedge curve risk rather than level risk?
   • Why did mortgage portfolios suffer in 2022?
8. 058You are assessing exposure to EMEA real estate debt across the portfolio as eurozone rates shift. How would you judge attractiveness and which risk factors would you prioritise?Fixed income and LDIHardcase studyPIMCOReal Estate · Munich · 2024

   Say this

   Judge it on spread per unit of attachment risk, not on headline yield. The two numbers I would lead with are loan to value against a marked-down, not appraised, collateral value, and the debt yield, net operating income over loan amount, because that is the one metric that does not depend on a cap rate assumption.

   Then walk it

   1. Attractiveness framework: all-in yield equals the base rate plus spread, so first split how much of the return is just Euribor. If two thirds of a 9 percent coupon is the base rate, you are being paid 300 basis points for real estate credit risk, and that should be compared to corporate high yield at similar rating, not to the 2021 version of itself.
   2. Then the structural position. Senior versus mezzanine versus whole loan, and the attachment point. Senior at 55 percent LTV on a re-marked value is a genuinely different asset from mezzanine at 60 to 75 percent, and in a market where values have fallen 20 to 30 percent the second one may already be impaired.
   3. Prioritised risk factor one, refinancing and the maturity wall. European CRE loans written at 1 percent base rates and 60 percent LTV now face refinancing at 3 to 4 percent with lower valuations, so the borrower has a funding gap. That gap, not tenant default, is the source of most losses.
   4. Factor two, valuation lag. Appraisal-based values move slowly and transaction evidence is thin in a frozen market, so I would triangulate with listed REIT implied cap rates and with actual completed transactions, and underwrite to that rather than to the last valuation report.
   5. Factor three, debt yield and interest coverage at current rates. An ICR that was 2.5 times at origination on a floating loan can be below 1.2 now, which is where covenant breaches and cash traps start.
   6. Factor four, the collateral's own quality: sector, obsolescence and capex requirement, particularly energy performance rules in Germany and the Netherlands, which can strand an asset. Then jurisdiction, because enforcement timelines vary enormously across EMEA and a two-year workout in one country is a six-month process in another.
   7. The conclusion I would give: senior EMEA real estate debt at conservative LTVs on re-marked values is attractive because banks have retreated and the spread reflects illiquidity more than credit, while subordinate positions on 2021 valuations are where I would expect the losses.

   Where candidates lose it

   Answering with a rates view and a yield number. The interviewer wants credit underwriting at the loan level: attachment point, debt yield, interest coverage at today's base rate, and the refinancing gap. Quoting appraisal LTVs without re-marking the collateral is the mistake that made 2023 painful for a lot of real estate credit books.

   Expect next

   • Why do you prefer debt yield to LTV?
   • How would you re-mark a German office valuation?
   • Where in the capital structure would you actually invest?

   Reported by candidates at PIMCO (Real Estate, Munich, 2024). Source: Wall Street Oasis.

9. 059Do you hedge currency in a global equity portfolio?Currency and globalIntermediatetechnicalMulti-assetGlobal equity

   Say this

   For equities, usually only partially or not at all. For bonds, almost always. The reason is the ratio of currency volatility to asset volatility: currency is a large share of the risk in a bond portfolio and a small share in an equity one, and it has no expected return to compensate you.

   Then walk it

   1. Run the numbers. Global equities have roughly 15 to 17 percent volatility and a major currency pair maybe 8 to 10 percent, and they are imperfectly correlated, so hedging changes total risk modestly. A global bond portfolio has 4 to 6 percent volatility, so unhedged currency is the dominant risk and hedging is close to compulsory.
   2. Currency has no long-run risk premium to speak of, so unhedged exposure is uncompensated volatility. That is the theoretical argument for hedging everything.
   3. The argument against hedging equities: some currencies are natural diversifiers. The dollar and the yen strengthen in risk-off episodes, so for a non-dollar investor, unhedged US equity exposure has a built-in stabiliser. Hedging removes it and can raise the drawdown.
   4. There is also a partial natural hedge inside the companies. A Swiss pharmaceutical or a Korean exporter has earnings in other currencies, so the listing currency overstates the true exposure. That argues against precision hedging at the index level.
   5. Then the practical costs: forward roll every one to three months, operational burden, and the cash flow risk. Hedging losses are settled in cash while the equity gain is unrealised, so a hedged programme can force you to fund large margin payments in a rally. That funding mismatch caught European investors hedged into US equities in 2014 and 2022.
   6. So my policy would be a strategic hedge ratio rather than a binary choice: fully hedge developed market bonds, hedge perhaps 50 percent of developed market equities as a regret-minimising middle, leave emerging market currency unhedged because the cost of carry is high and the currency is part of the asset, and size the liquidity buffer for hedge settlement.

   Where candidates lose it

   Answering 'hedge everything, currency is uncompensated risk' with no mention of the equity-versus-bond asymmetry or the cash flow consequences. Interviewers in global mandates want the volatility ratio argument, the safe-haven diversification point, and the awareness that hedges create funding calls. A 50 percent ratio as a stated regret-minimising policy is a strong answer.

   Expect next

   • Why hedge bonds but not equities?
   • What is the cash flow risk in a hedging programme?
   • Would you hedge emerging market currency exposure?
10. 060Why is the dollar so strong, and what does that do to a global portfolio?Currency and globalIntermediatetechnicalAmundiAsset Management · Milan · 2022

    Say this

    Three drivers, and you should name which one is dominant right now: a rate and growth differential in America's favour, safe-haven demand when risk appetite falls, and the dollar's structural role in funding and trade invoicing. The portfolio effect is that unhedged dollar assets flatter returns for a non-dollar investor and crush emerging market performance.

    Then walk it

    1. Driver one, real rate differentials. Capital flows to the higher real yield, so when the Fed is tighter than the ECB and the Bank of Japan, the dollar rises. Watch the two-year real yield gap as the cleanest single indicator.
    2. Driver two, the risk premium channel. The dollar is the reserve and funding currency, so in a stress event everyone needs dollars to service dollar liabilities and the currency rises exactly when risk assets fall. That is why it behaves as a hedge in a portfolio.
    3. Driver three, growth and terms of trade. Stronger relative US growth, plus energy independence during an energy shock, both support it. Europe in 2022 was importing expensive gas, which is a straightforward terms-of-trade hit to the euro.
    4. Portfolio effect one: for a euro or rupee-based investor, unhedged US equity returns get a currency tailwind, which flatters US allocations and disguises weak underlying performance. Strip the currency out before concluding that US equities beat everything.
    5. Portfolio effect two: a strong dollar is a tightening of global financial conditions. Emerging market sovereigns and corporates with dollar debt see their debt service rise in local terms, commodity importers suffer, and EM equity in dollar terms underperforms. So a dollar view is implicitly an EM allocation view.
    6. Then the mean-reversion caveat: purchasing power parity has almost no predictive power over one to three years but does over five to ten, so an extreme real effective exchange rate is a slow signal at best. I would treat it as a reason to hedge more of a new US allocation rather than as a trade in itself.

    Where candidates lose it

    Giving one reason, usually rate differentials, and no portfolio consequence. The question has two halves and the second is where the portfolio manager is being tested: the currency tailwind flattering US allocations, and dollar strength as a tightening of global conditions that hits emerging markets. Also know roughly where the dollar index and the rate differential are today.

    Expect next

    • So would you hedge your dollar exposure now?
    • What does dollar strength do to Indian equities and the rupee?
    • Does purchasing power parity help you at all?

    Reported by candidates at Amundi (Asset Management, Milan, 2022). 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.