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
030

Case 030Rebalancing and driftHard

Compare annual calendar rebalancing with 5-point threshold bands for a 60/40 portfolio over five given years of equity returns. Which rule trades more, which ends higher, and what does that tell you?

1The situation

A model portfolio starts at Rs 100, 60% equity and 40% debt. Over five years equity returns plus 30%, minus 20%, plus 25%, plus 5% and minus 15%. Debt returns 7% every year.

Rule one, the calendar: at every year end, trade back to 60/40. Rule two, the band: at every year end, look at the equity weight and trade back to 60/40 only if it has moved outside 55% to 65%. Ignore costs and tax for the first pass.

2Your task

Track the equity weight under each rule, count the trades, and give the ending value of each. Then say what the result does and does not prove.

Quick check

How many times does the band rule trade over the five years?

Worked solution

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

30-second answerThe answer to give first

The calendar trades 5 times and ends at 128.2; the band never trades and ends at 125.7. The zig-zag path rewarded the calendar: it sold equity after the rises and bought after the falls. That is a feature of this path, not proof the calendar is better. On a steady rising path the band trades less and ends higher. Bands trade when drift is large; calendars trade whether or not it is.

Step 1How do you track the weight without losing the thread?

Keep two numbers per year, equity and debt, and grow each by its own return. Year one: equity 60 becomes 78, debt 40 becomes 42.8, total 120.8, so equity is 64.6% of the portfolio. The calendar resets to 60/40 every year whatever the weight; the band looks at the weight and usually does nothing. A thermostat set to switch on only outside a comfort range runs less often than a timer that switches on every hour.

YearEquity returnCalendar weight before tradeCalendar tradeBand weightBand trade
1+30%64.6%5.5264.6%none
2-20%52.9%7.8357.7%none
3+25%63.7%4.7461.4%none
4+5%59.5%0.6261.0%none
5-15%54.4%7.2255.4%none
End value128.23125.72
Rs, from a start of Rs 100. The calendar makes 5 trades turning over Rs 25.9 and ends at Rs 128.23; the band portfolio stays between 55.4% and 64.6% equity, never trades, and ends at Rs 125.72.
Equity weight at each year end, before any trade50%55%60%65%StartY1Y2Y3Y4Y565% band edge55% band edgeCalendar: drifted weight, then reset to 60%. 5 tradesBand rule: 0 trades, never left the band
The calendar resets to 60% after every year, so it trades 5 times even when the drift is under half a point, while the band portfolio drifts between 55.4% and 64.6% equity and never leaves the 55% to 65% band.
Step 2Why did the calendar end higher here?

Look at its trades. After plus 30% it sold Rs 5.52 of equity; after minus 20% it bought Rs 7.83; after plus 25% it sold again. Rebalancing earns money when returns reverse, because it sells what just rose and buys what just fell. This path reversed almost every year, so the rule that traded most captured most. The band, holding a portfolio that drifted up and back, simply rode the zig-zag and finished Rs 2.51 lower.

Step 3Does that make the calendar the better rule?

No, and this is the step interviewers want to hear. Run the same rules on a path of plus 20% every year. With no reversals, every calendar trade sells a rising asset to buy a slower one: the calendar trades 5 times and ends at 199.4, while the band trades 2 times and ends at 200.6. The winner depends on the path, which nobody knows in advance. What the band reliably does is trade less, which matters once costs and tax on realised gains enter.

Which rule ends higher depends on the path, not the rulePath in the case: zig-zag128.2Calendar5 trades, 26 turned over125.7Bands0 trades, 0 turned overbars start at 120, not zeroContrast path: +20% every year199.4Calendar5 trades, 21 turned over200.6Bands2 trades, 16 turned overbars start at 195, not zero
On the case's zig-zag path the calendar ends at 128.2 against 125.7 for the band, but on a steady plus 20% path the band ends higher, 200.6 against 199.4, with 2 trades instead of 5: which rule wins is decided by the path.

Say the limitation of the setup too. Checking the band only at year ends is generous to the calendar; a band watched monthly would likely have fired inside year one or year two, when equity spent time above 65%. The practical answer for a client is a band checked often, with a calendar review as a backstop, so the portfolio trades when drift is large and never drifts unseen for long.

Where candidates lose it

The first loss is arithmetic: rebalancing the band portfolio in year one because 64.6% looks close to 65%. Close is not outside. Once you trade there, every later number is wrong.

The second is declaring a winner from one path. The calendar won here by Rs 2.51 because the returns zig-zagged. Say which kind of path helps each rule, and the interviewer hears judgement instead of a lucky number.

What the interviewer asks next

  • Add a 0.5% cost per rupee traded and 12.5% tax on realised equity gains. Does the calendar still win the zig-zag path?
  • Would a 3-point band have traded, and in which years?
  • How would you rebalance using new cash from the client instead of selling?
  • Why do some advisers rebalance only halfway back to the target?
← Case 029A client scores aggressive on the risk questionnaire, but most of his portfolio is earmarked for a house purchase in two years. How do you reconcile tolerance, capacity and need, and what allocation does each part get?Case 031 →A client has booked Rs 18 lakh of gains this year and holds three positions sitting on losses of Rs 4, 7 and 11 lakh. Which losses do you harvest, what tax does it save, and what replaces the positions you sell?

Company names and figures are illustrative.

Fin Maverick Free CoursesExplore Free Courses
Fin Maverick BootcampsExplore Bootcamps
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.