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
087

Case 087Factor investing and quantCore

A systematic fund has a momentum loading of 0.4, and the momentum factor loses 25% in a month. What does the fund lose from that exposure, and what would hedging it have cost?

1The situation

Digant Systematic Fund runs Rs 1,000 crore of long-only Indian equity. Its factor model shows a market beta of 1.0, a momentumThe tendency of stocks that have risen over the past year to keep rising for a while, captured as a factor that is long recent winners and short recent losers. loading of 0.4, a value loading of 0.2 and a quality loading of 0.1.

In one month the market rebounds 8% after a sharp fall. Last year's losers lead the rally, and the long-short momentum factor loses 25%. Value gains 6%, quality loses 2%, and stock-specific effects cost the fund 0.5%. Assume momentum earns about 6% a year on average, and that holding a short hedge costs about 1.5% a year of its notional in trading and borrowing.

2Your task

What did the momentum exposure cost in the month, how did the fund do overall, and would a hedge have been worth paying for?

Quick check

What does the momentum loading alone cost the fund this month?

Worked solution

Try it on paper, then open one step at a time.

30-second answerThe answer to give first

The momentum loading costs about Rs 100 crore, 10% of the fund, and turns an 8% market rally into a -1.5% loss. A 0.4 loading on a factor that falls 25% is a 10% hit. A full hedge, shorting 0.4 units of the momentum factor, would have given up about Rs 30 crore a year in forgone premium and costs. If a crash like this comes once a decade, that is more than its expected Rs 10 crore a year of damage, so trimming the loading beats hedging it fully.

Step 1How does a loading turn into rupees?

A loading is a sensitivity, like the share of a cricket team's score that comes from its openers. If the openers contribute 40% of the runs and they collapse, the total collapses with them. A momentum loading of 0.4 means the fund moves 0.4% for every 1% the momentum factor moves, so a 25% factor loss becomes a 10% fund loss, Rs 100 crore. That is on top of whatever the market does, because the factor is measured as a long-short spread with the market taken out.

Step 2How did the whole month add up?

Attribute the return factor by factor. Market beta of 1.0 on an 8% rise adds Rs 80 crore. Momentum takes Rs 100 crore, more than the market gave. Value adds Rs 12 crore, quality costs Rs 2 crore and stock-specific effects Rs 5 crore. The fund ends down Rs 15 crore, -1.5%, in a month the market rose 8%: a gap of 9.5 points that clients will notice before anything else.

One factor loading turned a rising month into a loss, Rs crore+80Marketbeta 1.0-100Momentum0.4 x -25%+12Value0.2 x +6%-2Quality0.1 x -2%-5Stock-specific-15FundreturnMarket +8%, fund -1.5%, gap -9.5 points
In the crash month Digant gained Rs 80 crore from the market, lost Rs 100 crore on its 0.4 momentum loading, and after small value, quality and stock-specific effects ended down Rs 15 crore while the market rose 8%.
Step 3Why do momentum crashes come in rebounds?

After a long fall, last year's winners are the defensive stocks and last year's losers are the beaten-down cyclicals. When the market turns sharply up, the losers rally hardest, and a strategy long winners and short losers is on the wrong side of the move. That is why the damage clusters in sharp recoveries after bear markets, and why the market rising 8% is part of the cause, not a comfort.

Step 4Would a hedge have been worth it?

Price it for a year, not a month. To remove the loading, the fund would short 0.4 units of the long-short momentum factor, about Rs 400 crore on each side. That gives up the momentum premium the fund holds the factor for, about Rs 24 crore a year, plus about Rs 6 crore of costs: roughly Rs 30 crore a year. If a crash like this comes once in 10 years, its expected cost is about Rs 10 crore a year. A permanent hedge pays three times the expected damage to avoid it.

ChoiceCost a year, Rs croreLoss in this crash, Rs crore
Keep 0.4 loading0100
Hedge fully to 0300
Trim loading to 0.21550
Hedging Digant's momentum loading fully costs about Rs 30 crore a year to avoid a Rs 100 crore loss that, at once a decade, costs about Rs 10 crore a year on average.

The better tool is to size the loading by risk rather than hedge it. Research on momentum crashes finds they follow periods when momentum's own volatility is high, usually after a market fall, so a fund that scales its momentum exposure down when that volatility rises keeps most of the premium and sheds much of the crash. State the limit: the once-a-decade frequency is an assumption, and a fund whose clients cannot live with a 10-point gap to the market should hold a smaller loading from the start.

Where candidates lose it

The common loss is netting the momentum loss against the market gain and saying the fund was roughly flat. The client measures the fund against the market, and against that yardstick the fund lost 9.5 points.

The second is recommending a full hedge because the crash hurt. Hedging a factor you hold for its premium removes the premium with the risk; the interviewer wants the cost of the hedge set against the expected cost of the crash.

What the interviewer asks next

  • How would you scale the momentum loading using its recent volatility?
  • The fund's clients are benchmarked to the index. Does that change your answer?
  • Which factor would you expect to do well in the same rebound, and why?
← Case 086Oil falls 40%. For a pegged oil exporter, trace the effect on the budget, the currency, interest rates and the yield curve, then position a foreign bond portfolio.Case 088 →Write the investment memo on a hospital chain with 1,200 beds that is building a new 300-bed hospital. What goes in the first line, and what numbers support it?

Company names and figures are illustrative.

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.