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
CalculatorComparison
Frameworks
Explore Bootcamps
Equity ResearchPortfolio ManagementMutual Fund MasteryFinancial LiteracyInvestment Banking Analyst
Private Equity AnalystHedge Funds AnalystBreaking Into VCBreaking Into QuantsAI For Finance
Financial Analyst ProgramRisk Management ProgramPrivate Wealth ManagementDebt Capital MarketsDerivatives Foundation
Explore Internships
Equity Research InternMutual Fund Intern
Portfolio Management InternFinancial Literacy Intern
Explore Micro 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
Courses
Explore Career Roadmaps
Investment Banking AnalystEquity Research AnalystVC AnalystPrivate Equity AnalystHedge Funds Analyst
Quant AnalystAI For FinanceFinancial Analyst ProgramPrivate Wealth ManagementDebt Capital Markets
Risk Management ProgramDerivatives FoundationPortfolio ManagementMutual Fund Mastery
PartnershipsShowdown
Log inSign up
Quantitative Methods, Financial Data & Programming
1Probability
Probability in FinanceRandom VariableProbability DistributionsThe Normal DistributionNormal Distribution ProbabilityThe Lognormal DistributionRandomness vs Uncertainty
2Statistics and Inference
Population and SampleMean, Median and ModePrecision and AccuracyVariable TypesVariance, Standard Deviation and…Dispersion MeasuresStatistical BiasEffect SizeHypothesis TestingThe Sampling DistributionSkewnessKurtosisCovarianceConfidence IntervalArithmetic Mean vs Geometric MeanStatistical Significance vs Economic…Confidence Interval vs Prediction IntervalHow to Summarise a…
3Correlation and Regression
RegressionCorrelation and CausationOrdinary Least SquaresInteraction TermsRegression CoefficientsRegression vs ClassificationHow to Build a…Spurious CorrelationRegression, Correlation and FitResidualsMulticollinearityAutocorrelation and Partial Autocorrelation
4Time Series
Time Series in FinanceSimple, Weighted and Exponential…Moving Average CalculatorPrice, Return and Level SeriesHow to Prepare Time-Series…LagFrequencySeasonalityTimestampsTrendStationarity and the Unit RootHeteroskedasticityLeadRolling WindowsDifferencing
5Simulation and Numerical Methods
SimulationMonte Carlo SimulationHow to Run a…Numerical MethodsIterationResampling and the BootstrapPseudorandom Numbers and the SeedConvergence and ToleranceNumerical Stability
6Optimisation
OptimisationLocal and Global OptimaConstraintsConvex OptimisationThe SolverLinear ProgrammingThe Objective FunctionConstraint ViolationThe Feasible SetLagrange MultipliersQuadratic Programming
7Modelling Practice
Linear, Logistic, Ridge and…Training, Validation and Test…The ModelModel ErrorDependent and Independent VariablesThe ROC Curve and AUCWhat a Model HoldsMSE, RMSE, MAE and MAPEPrecision and RecallCross Validation and RegularisationOverfitting and UnderfittingReturn Series MeasuresSimple, Compound and Log Return
8Backtesting and Research Integrity
BacktestingBacktest vs Live PerformanceHow to Document a…How to Prevent Backtest…Out-of-Sample TestingWalk-Forward AnalysisMultiple TestingP-HackingData Snooping
9Data Quality and Structure
Data QualityThe DatasetSelection and Survivorship BiasVersioned DatasetsData Structures in FinanceData CleaningMissing Data and Null ValuesStructured Data vs Unstructured DataMissing Data vs ZeroData Validation vs Data CleaningOutliersDuplicate Records
10Programming for Finance
Data PipelinesAPIs for Financial DataAPI vs CSV FileDatabases in FinancePython for FinanceJoinsSQL for FinanceThe Analysis Workflow
11Quantitative Research
Research DesignThe Data Generating ProcessReproducibilityPeer Review in Analytical WorkThe Research HypothesisRobustness and Sensitivity

Simple, Compound and Log Return: The Same Ten Months

A simple change measures one movement against the level it started from. A compound rate is the single change which, repeated in every period, would reproduce what a whole record actually did. A log change is the logarithm of one plus the simple change, and it adds where the others multiply. On the Vasant unit's ten invented months the three read 2.00 per cent, 1.57 per cent and 1.56 per cent a month.

The ten monthly changes of the Vasant unit and the ten of the Nakshatra unit, two records built for teaching, arrive here whole. Their totals across the whole ten months, and how far the months within each record sit from one another, are set out under the summaries a record of changes can carry. Everybody already has the plain arithmetic of a levelThe running value of something at a point in time, as opposed to how much it moved. A level is a where; a change is a how far. and a movement. Three ways of writing down that same movement follow, each defined on its own terms before any of them is set against another, and all three are then run over the same ten invented months to show in figures how far apart three correct answers get.

One definition first. For these invented units a month's change and that month's return are the same number: the unit moved by so much over the month, and that movement is what every form in this guide is a way of writing. Nothing is being redefined between one form and the next. The movement is fixed; only the notation is on trial.

What are the three forms, in one sentence each?

A comparison that starts contrasting before it has finished defining teaches nothing, so all three forms get a definition of their own before any one of them is set against another. Read the three slowly. The definitions are shorter than they look.

A simple change is the movement divided by the level it started from. If something sat at a hundred and finished the month at a hundred and three, the movement was three, the baseThe level a change is measured against, which is normally the level at the start of the period. Change the base and the same movement becomes a different percentage. was a hundred, and the simple change was 3.00 per cent. Every part of that sentence matters and the part people drop is the base. The same movement of three against a base of fifty is 6.00 per cent, and against a base of two hundred it is 1.50 per cent. A simple change is therefore never just a movement. A simple change is a movement together with the level it is being judged against, and that level is always the one at the beginning of the period.

A compound rate is the single change which, repeated in every period of a record, would reproduce exactly what that record actually did. A compound rate is not an average of anything in the ordinary sense. A compound rate answers a rebuilding question: if the ten months this record actually had were replaced by ten identical months, what would each of those identical months have to be so that the finish is the same? The rebuilding question is a strange one on first encounter, and its shape is worth holding on to. The months are not being summarised. The months are being replaced by ten copies of a single month, chosen so that nothing about the destination changes.

A log change is the logarithm of one plus the simple change. A logarithmAsk what power turns one fixed number into another, and the answer is a logarithm. The natural sort, used everywhere here, takes the base that calculus prefers. takes a multiplier and hands back something that can be added. So the simple change of 3.00 per cent becomes the multiplier 1.0300, and the logarithm of 1.0300 is 2.9559 per cent. The log change is close to the simple change and not equal to it, and it came out lower. Both of those turn out to matter later, and neither is an accident.

An everyday version holds all three forms at once. A tea cart trades for a week. One answer describes the week by its average day. A second describes the week by the one steady day that would have produced it. A third rewrites each day in a form where the seven days simply add up, and nobody asks for that third answer until the day they need to add. All three describe the same week and none of them is the correct one. Correctness is not the axis: what separates the three is which question each one answers.

THREE FORMS, DEFINED BEFORE ANY OF THEM IS COMPARED Same movement, same ten months, three ways of writing it down. THE FORM WHAT IT MEASURES ACROSS PERIODS IT ON THESE TEN MONTHS SIMPLE one movement against the level it started from MULTIPLIES 2.00 per cent a month COMPOUND the one steady change that rebuilds the whole record IS ALREADY THE WHOLE RECORD 1.57 per cent a month LOG the logarithm of one plus the simple change ADDS 1.56 per cent a month ALL THREE DESCRIBE THE SAME TEN MONTHS. NOT ONE OF THEM IS THE CORRECT ONE.
A simple change measures one period, a compound rate reproduces a whole record, and a log change adds across periods, so the three columns differ by what they are for rather than by which is right.
Try it out

Which of the three forms just defined is the correct one?

Breaking Into Quants Bootcamp — Fin Maverick

Which of them adds across months, and which multiplies?

Now the contrast, and it is a single mechanical fact with a very long shadow. Simple changes multiply across periods and log changes add, and that one difference is the whole practical distance between the two forms. Everything else in this guide is a consequence of it.

Take the multiplying side first. A simple change of 3.00 per cent turns a level of 1.0000 into 1.0300. Chaining a second month onto the first does not mean adding the second month's percentage to it. The second month becomes its own factorOne plus a change, written as a multiplier. A rise of 3.00 per cent is a factor of 1.0300 and a fall of 3.00 per cent is a factor of 0.9700., and the two factors multiply. The Vasant unit's second month was 18.50 per cent, so its factor is 1.1850, and 1.0300 multiplied by 1.1850 is 1.22055. Two months in, the level has moved 22.06 per cent, and 22.06 is not 3.00 added to 18.50. Chain all ten months this way and the level lands at 1.16856953.

Now the adding side. Turn each of those same ten factors into its logarithm and ten log changes come out, and those simply add. The first two are 2.9559 per cent and 16.9743 per cent, and they add to 19.9302 per cent. A logarithm turns multiplication into addition by construction, and the sum is therefore neither a coincidence nor an approximation of the multiplied answer. The sum is the multiplied answer written in a different alphabet. All ten added come to 15.5780 per cent.

Adding simple changes across periods is the commonest arithmetic mistake made with any record of changes, and it is a quiet one. Nothing about the numbers signals that anything went wrong. The Vasant unit's ten monthly changes added together come to 20.00 per cent. Multiplying the ten factors gives what the record actually came to, 16.86 per cent. Both answers look reasonable, both are computed from the same ten figures, and only one of them is what happened.

ONE RECORD, TWO STRIPS, TWO DIFFERENT OPERATIONS The same ten months of the Vasant unit, written first as factors and then as log changes. THE TEN FACTORS. THESE MULTIPLY. month 1 1.0300 x month 2 1.1850 x month 3 1.0250 x month 4 1.1700 x month 5 0.9700 x month 6 0.8700 x month 7 1.0650 x month 8 0.9900 x month 9 0.9250 x month 10 0.9700 ALL TEN MULTIPLIED: 1.16856953, WHICH IS 16.86 PER CENT OVER THE RECORD THE TEN LOG CHANGES, IN PER CENT. THESE ADD. month 1 2.9559 + month 2 16.9743 + month 3 2.4693 + month 4 15.7004 + month 5 minus 3.0459 + month 6 minus 13.9262 + month 7 6.2975 + month 8 minus 1.0050 + month 9 minus 7.7962 + month 10 minus 3.0459 ALL TEN ADDED: 15.5780 PER CENT ONE STRIP MULTIPLIES. THE OTHER ADDS. THAT IS THE WHOLE PRACTICAL DIFFERENCE. Adding the top strip instead of multiplying it is the error this guide exists to name. The word minus is printed above a value wherever the month fell, so no sign is carried by the figure itself.
Simple changes multiply across months and log changes add, and that single difference is the whole practical distance between the two forms.
Try it out

Ten monthly simple changes are handed over, with a request for what the record came to across the whole ten months. What should be done with them?

AI For Finance Bootcamp — Fin Maverick

What do all three give on the same ten months?

Here is the whole record, with every form worked out beside it. The ten monthly changes of the Vasant unit, in the order they happened, are 3.00, then 18.50, then 2.50, then 17.00, then minus 3.00, then minus 13.00, then 6.50, then minus 1.00, then minus 7.50 and finally minus 3.00 per cent. Nothing is sorted and nothing is dropped.

MonthSimple change, per centLevel reachedLog change, per centLog total so far
13.001.030000002.95592.9559
218.501.2205500016.974319.9302
32.501.251063752.469322.3994
417.001.4637445915.700438.0998
5minus 3.001.41983225minus 3.045935.0539
6minus 13.001.23525406minus 13.926221.1277
76.501.315545576.297527.4251
8minus 1.001.30239012minus 1.005026.4201
9minus 7.501.20471086minus 7.796218.6240
10minus 3.001.16856953minus 3.045915.5780
All ten2.00 average1.168569531.56 average15.5780 added

The level column is the ten factors already multiplied together, month by month, so its last entry is the whole record. The factors themselves are one plus each simple change and they are printed in full in the strip above.

The bottom row carries all three answers at once. The simple average of the ten months is 2.00 per cent. The compound rate is 1.57 per cent a month. The average log change is 1.56 per cent. Three defensible answers to what a month on this record was worth, differing by nearly half a percentage pointThe unit for the distance between two percentages. Moving from 2.00 per cent to 1.57 per cent is a fall of 0.43 percentage points, and calling that a fall of 0.43 per cent would mean something different. on one entirely unremarkable record of ten months.

The compound rate is the one form here that is genuinely new, so it deserves slow attention. The ten factors multiplied together come to 1.16856953. A product of 1.16856953 says the record finished 16.86 per cent above where it started. Now the rebuilding question: what one monthly change, repeated ten times, lands on 1.16856953? The answer is 1.57 per cent a month. Raising 1.0157 to the tenth power gives 1.1685694, and the last two places differ from the record's 1.16856953 only because the rate itself has been rounded to two decimals; carried out further the rate is 1.5700008 per cent and the tenth power lands on 1.16856953 on the nose. So the compound rate is not an average of the ten months at all. The compound rate is a substitute for the ten months, chosen so the destination is preserved.

THREE ANSWERS, ONE SCALE, ONE RECORD Each marker is what one of the three forms says a month on this record was. the shaded width is the whole disagreement PLAIN AVERAGE 2.0000 COMPOUND RATE 1.5700 AVERAGE LOG 1.5578 1.40 1.50 1.60 1.70 1.80 1.90 2.00 2.10 PER CENT A MONTH THE CLOSE PAIR, MAGNIFIED ABOUT FIFTEEN TIMES They are near each other. They are not the same number. 1.550 1.560 1.570 1.580 1.5578 1.5700 a real distance of 0.0122, drawn at true scale
On the same ten months the three forms give 2.00 per cent, 1.57 per cent and 1.56 per cent a month, and the magnified strip shows the closest pair is still a genuine distance apart.
Try it out

Three defensible answers to what a month on this record was worth differ by nearly half a percentage point. Does that mean one of them is wrong?

Why does the compound rate come out below the simple average?

The direction here is worth feeling rather than reading, so ask the prediction before doing the arithmetic. The ten months average 2.00 per cent. Is the compound rate above that or below it?

Try it out

Answer this before the next figure gives it away. The ten simple changes average 2.00 per cent. Where does the compound rate sit?

The compound rate sits below the simple average, it sits below on every record whose months are not all identical, and the reason is that a fall is taken off a bigger starting level than the one the following rise gets added to. Take a level of 100.00 and put the Vasant unit's worst month through it: a fall of 13.00 per cent takes 13.00 units away and leaves 87.00. Now put a rise of exactly the same 13.00 per cent through what is left. Thirteen per cent of 87.00 is 11.31, not 13.00, so the level climbs to 98.31 and finishes 1.69 below where it began. The two percentages were identical and they averaged to precisely nothing, but the level did not come back.

The household version is one everybody has met. A shopkeeper takes a fifth off a price and then, a month later, puts a fifth back on. The price does not return. The reduction came off the full price and the increase went onto the reduced one, so the two moves were never the same amount of money even though they were the same percentage. Nothing about compounding is being smuggled in there. The shortfall is arithmetic about which base a percentage was taken of.

Which gives the exact condition under which the gap disappears. The gap between the simple average and the compound rate is created entirely by the months differing from each other, so a record whose months were all identical would show a gap of exactly nothing. Test it: ten months of exactly 2.00 per cent give a level of 1.21899442, and the one steady month that rebuilds 1.21899442 over ten months is 2.00 per cent, precisely the simple average. On the Vasant unit's actual months the two read 2.00 per cent and 1.57 per cent, a distance of 0.43 percentage points, and that distance is a direct report of how far the ten months sit from each other.

TWO EQUAL PERCENTAGES, TWO UNEQUAL AMOUNTS A fall of 13.00 per cent and a rise of 13.00 per cent, in that order, on a level of 100.00. 100.00 100.00 where it started 87.00 after a fall of 13.00 per cent 13.00 per cent of 100.00 is 13.00 98.31 after a rise of 13.00 per cent 13.00 per cent of 87.00 is only 11.31 down 13.00 up only 11.31 1.69 short 84.00 102.00 this scale starts at 84.00, not at nothing, so the small gap is readable
The fall is taken off a bigger level than the one the following rise gets added to, so two moves of identical percentage do not cancel and the level ends lower.
Risk Management Program Bootcamp — Fin Maverick

What does the log form buy that the others do not?

So far the log form has looked like a curiosity that sits near the compound rate. The log form earns its keep here, and the demonstration takes one line.

The ten log changes summed come to 15.5780 per cent. Now the exponentialThe operation that undoes a logarithm. Feed it a log change and it hands back the factor that log change came from. of that one sum: out comes 1.16856953, the multiplied factor, to every decimal place the arithmetic carries. Not close to it. It. A chain of ten multiplications has turned into one addition and one undoing, and that swap, rather than any question of taste in notation, is why anybody bothers with the log form at all.

Why does anybody care about turning multiplication into addition? Because almost every tool that summarises a set of numbers is built to add. An average adds and divides. A running total adds. A fitted line adds. A measure of how far readings sit from each other adds squared distances. Given a column of factors, any of those tools will do the wrong operation politely and return an answer that looks fine. Given a column of log changes, adding is exactly the right operation, and adding is the one the tool already knows.

Now the caution, and it is the sharpest distinction in the whole comparison. The average log change is 1.5578 per cent and the compound rate is 1.5700 per cent. The average log change and the compound rate are two different quantities that happen to land near each other on this record, and they must never be quoted as one number. Rounded to two decimals the pair reads 1.56 and 1.57, still two numbers. Rounded to one decimal the pair reads 1.6 and 1.6, one number, and a real distinction has been rounded out of existence by a formatting decision. The average log change is the mean of the ten logarithms. The compound rate is what comes out after undoing that mean. Taking the exponential of 1.5578 per cent gives 1.015700, a factor of 1.5700 per cent, and that is the exact relationship between the pair: one is the log form of the other, not a rounding of it.

TWO ROADS, ONE SHAPE, ONE DESTINATION Ten multiplications above; ten additions and a single undoing below. MULTIPLYING THE TEN FACTORS: THE RUNNING LEVEL 1.50 0.95 1.46374459 ends at 1.16856953 ADDING THE TEN LOG CHANGES: THE RUNNING TOTAL 40.00 0.00 38.0998 ends at 15.5780 THE EXPONENTIAL OF 15.5780 PER CENT IS 1.16856953, TO EVERY DECIMAL CARRIED one undoing
The exponential of the summed log changes reproduces the multiplied factor exactly, so ten multiplications become one addition followed by a single undoing.
Try it out

The average log change on this record is 1.56 per cent and the compound rate is 1.57 per cent. Are they the same number?

Play with it

Stretch the ten months and watch three correct answers pull apart.

The shape of the record is held completely still. Only the size of the changes moves: every one of the Vasant unit's ten monthly changes is multiplied by the same setting, so the months keep their order, their signs and their relative sizes and simply get bigger or smaller together. The three markers redraw on one shared scale, the ten bars beneath redraw with them, and the ribbon at the bottom shows where a level of 1.0000 ends up after all ten months. The panel opens at the record's own size, where the three read 2.00 per cent, 1.57 per cent and 1.56 per cent.

a tenth of the sizethe record's own sizetwice the size
Plain average, per cent
2.00
Compound rate a month, per cent
1.57
Average log change, per cent
1.56
Plain average above compound, per cent
0.43
Educational illustration. The Vasant unit and the Nakshatra unit were invented for teaching and their ten months were made up, so nothing on this panel describes a real traded thing or a real business. The whole point of the control is that only the size of the changes moves: the shape of the record is held fixed at every setting, so the order of the months, the pattern of rises and falls and the position of the worst month never change. Bars above the line are months the unit rose, bars below it are months it fell, and the sign is carried by which side of the line a bar sits on rather than printed on the figure.
Try it out

With the setting pushed to twice the size, the three readings separate further. What was actually driving that?

Investment Banking Analyst Bootcamp — Fin Maverick

Where does the log form break down?

Every form has a range it works over and the honest thing is to state it rather than to assume it away. A log change needs one plus the simple change to be above nothing, so a simple change of minus 100.00 per cent has no log form at all, and anything worse than that has none either.

Follow why. A simple change of minus 100.00 per cent turns a level into nothing, so the factor is 0.0000, and no power that anything is raised to ever reaches nothing. The logarithm is not merely awkward at that point. There is none to write down. And as the simple change approaches minus 100.00 per cent from above, the log change does not politely approach some finishing value: it dives, without limit. At a simple change of minus 50.00 per cent the log change is minus 69.3147 per cent. At minus 90.00 per cent it is minus 230.2585 per cent. At minus 99.00 per cent it is minus 460.5170 per cent, and it keeps going.

Now the other end of the range, and it is the reassuring one. Near a simple change of nothing the two forms track each other almost exactly, and they stay close over the whole range this record occupies. On the Vasant unit's ten months the worst reading is minus 13.00 per cent, whose log change is minus 13.9262 per cent, so nothing on this record comes anywhere near breaking and every figure in this guide is safely inside the form's range. The limit is real even though it does not bite here, and stating it is the difference between knowing a form's range and hoping it holds.

CLOSE NEAR NOTHING, GONE ENTIRELY AT MINUS ONE HUNDRED The log change, up the chart, against the simple change, across it. Both in per cent. no log change exists at or below minus 100.00 where the two would be equal the worst month on this record, minus 13.00, whose log is minus 13.9262 minus 100 minus 75 minus 50 minus 25 0 25 50 THE SIMPLE CHANGE, IN PER CENT the log change falls this way, with no floor
A log change needs one plus the simple change to be above nothing, so a simple change of minus 100.00 per cent has no log form at all and the curve dives without limit as it is approached.
Try it out

Where exactly does the log form break down?

When does the choice between them actually matter?

A distinction that cannot be switched off becomes pedantry, so what follows is when this one is material and when it is not, both stated as figures rather than as a preference.

Over a single period, and for a small change, the three forms very nearly agree. The Vasant unit's first month was a simple change of 3.00 per cent. Its log change is 2.9559 per cent. The compound rate over one month is the month itself, so it is 3.00 per cent. The three answers sit within 0.0441 of each other, so all three agree to one decimal place and only part company in the second. Where the subject is one month of one record, arguing about which of the three is meant is a way of not saying anything.

Over many periods, or where the changes are large, the three separate and the separation is not small. The same record's second month is a simple change of 18.50 per cent whose log change is 16.9743 per cent, and there the two are 1.5257 apart on a single reading. Run all ten months together and the plain average and the compound rate come out 0.43 percentage points apart every month. The choice matters exactly when the periods are many or the changes are large, and both of those conditions are about how far the readings sit from each other rather than about which form is fancier. On this record the spreadA single figure for how far a set of readings sit from each other. Computing it is covered separately. of the ten months is 9.96 per cent, and it is that width, not the average, that opens the gap.

The panel above shows one more thing that no static figure can: the widening is smooth and one directional. Shrink the changes and the three collapse onto each other; stretch them and they fan out; and the plain average is always the one on the outside. Nothing about that ordering is a property of this particular record. The plain average is at or above the compound rate on every record there is, and it is exactly equal only when every period is identical. Saying which form is being quoted therefore costs one word and closes the whole question.

ONE PERIOD AGAINST TEN, AT THE SAME SCALE Same three forms, same record, and only the number of periods changes. ONE MONTH AT 3.00 PER CENT 3.0000 3.0000 2.9559 simple compound log all three within 0.0441 arguing about the form here says nothing ALL TEN MONTHS TOGETHER 2.0000 1.5700 1.5578 simple compound log 0.43 apart every month now the word that names the form is load bearing this gap
Over one period and for a small change the three forms nearly agree, and over ten months with a wide spread the plain average stands 0.43 percentage points above the compound rate.
Try it out

When does the choice between the three forms actually matter?

Common Size and Trend Analysis — free micro-course from Fin Maverick

Which form should be used for which job?

Choosing a form is the part somebody actually has to do on a Tuesday. An analyst summarising a column of monthly readings, a lender reading a set of period changes on an account, a student totting up a set of practice figures and a household comparing one month against the whole year are all doing the same three way choice, and it resolves the same way every time. Pick the form by the question, not by habit, and then name the form out loud.

Use the simple form when the question is about one period. One period is exactly what the simple form measures. Ask what the Vasant unit did in month four. The answer is a rise of 17.00 per cent. There is nothing to convert, nothing to compound and nothing to argue about, and reaching for a log change to answer a one month question is showing off rather than working.

Use the compound rate when the question is about a whole record stated per period. The compound rate is the only one of the three that reproduces the record by construction. If somebody quotes 1.57 per cent a month for the Vasant unit's ten months, that figure can be tested on the spot: 1.0157 raised to the tenth power must land on the record's own 1.16856953, give or take the rounding carried into the rate. If it lands somewhere else entirely, one of the two figures is wrong, and that has been established in ten seconds. Neither of the other two forms can be checked against the record that way, and being checkable is worth a great deal.

Use the log form when the changes have to be added, averaged, or handed to any tool that assumes adding. Adding is where the log form's one property earns its keep, and it is the reason the form is everywhere in quantitative work rather than in ordinary conversation. Convert at the start, do the adding work in log changes, and convert back at the end with a single exponential.

And then there is the rule that costs one word. On these ten invented months 2.00 per cent, 1.57 per cent and 1.56 per cent are all correct answers to slightly different questions, and a reader handed a bare number cannot tell which question was asked, so always say which form is being quoted. The word that fixes it is simple, or compound, or log. Nobody has ever regretted writing it and plenty of people have spent an afternoon reconciling two figures that were never supposed to match.

ONE BRANCH, AND IT IS ON THE QUESTION Not on which form is better, because none of them is. WHAT IS THE QUESTION ACTUALLY ABOUT? one period THE SIMPLE FORM it is what that form measures, and nothing else a whole record, per period THE COMPOUND RATE only it rebuilds the record by construction changes that must be added THE LOG FORM only it adds, and adding is what every tool expects THEN NAME IT. 2.00, 1.57 AND 1.56 PER CENT ARE ALL CORRECT ANSWERS HERE.
Use the simple form for one period, the compound rate for a whole record, and the log form when changes have to be added, then name whichever one was used.
Common Size and Trend Analysis teaches you to make three years of statements comparable and see what moved. Bond Pricing and Yield Mechanics — free micro-course from Fin Maverick

What does the same arithmetic give on the other record?

One worked example is a demonstration and two is a pattern, so here is the identical treatment on the Nakshatra unit's ten months. The Nakshatra months run 1.00, then 6.00, then minus 4.00, then 11.00, then 1.00, then minus 9.00, then 6.00, then 1.00, then minus 4.00 and finally 1.00 per cent. Same order, same period, same three forms.

The question askedThe Vasant unitThe Nakshatra unit
The plain average of the ten months2.00 per cent1.00 per cent
The ten factors multiplied together1.168569531.08843892
The total over the whole ten months16.86 per cent8.84 per cent
The compound rate a month1.57 per cent0.85 per cent
The ten log changes added15.5780 per cent8.4744 per cent
The average log change1.56 per cent0.85 per cent
The plain average above the compound rate0.43 per cent0.15 per cent

The pattern holds on both records and the size of the gap tracks how wide the months are. The Nakshatra unit's months run from minus 9.00 to 11.00 per cent while the Vasant unit's run from minus 13.00 to 18.50, so the Nakshatra unit is the narrower record and its gap is the smaller one, 0.15 against 0.43. Nothing about the second record needed a different method, a different order or a different caution. Working on both records unchanged is what it means for all of this to be arithmetic rather than a convention.

A total that was added when it should have been multiplied

Somebody is handed the Vasant unit's ten monthly changes and asked one question: what did the record come to over the ten months. The ten percentages get added. Three plus eighteen and a half plus two and a half plus seventeen, less three, less thirteen, plus six and a half, less one, less seven and a half, less three. The answer is 20.00 per cent. The answer is written down, checked once by re-adding the column, and passed on.

The record came to 16.86 per cent. The answer is out by 3.14 percentage points on ten unremarkable months, more than the whole of the tenth month. And absolutely nothing about the working looked wrong at any point. The addition was correct. The column was checked. The arithmetic was flawless and the operation was the wrong one, so re-checking the sum could never have caught it. Adding percentages is what everybody does everywhere else, and nothing in a column of ten percentages signals that this is the one place the habit fails.

One extra step closes this off for good. Whenever a set of period changes has to be combined into a total, they are not added. Each becomes a factor and the factors multiply; or, for anyone who would rather stay with addition, each becomes a log change, those add, and one exponential is taken at the end. On this record the log route gives 15.5780 per cent added, and the exponential of 15.5780 per cent is 1.16856953, exactly the 16.86 per cent the multiplication gives. Two routes, one answer, and neither of them is 20.00 per cent.

The other summaries a record of changes can carry are covered separately. Fitting a model to a series of changes is covered separately as well. Whether any of these changes would be worth having, what any of these figures would mean to anybody, and what anyone should do with a record that looked like this are separate subjects, none of which follows from anything above. Continuous compounding beyond the one property of logarithms this comparison needs, and what happens when periods are of unequal length, are covered elsewhere. Every quantity above belongs to an invented unit and was recomputed here from the ten months printed in full.
Value at Risk and What It Hides teaches you to compute value at risk three ways, interpret the figure, and say precisely what it refuses to describe.

What do these figures rest on, and what can a reader check?

No figure above was read off a source. Ten invented months sit printed in full and every figure was worked out from them, so a reader with a pen can redo the whole comparison in roughly ten minutes. Three ways of writing down a change answer to no authority, and the arithmetic below can be checked by anybody who can multiply.

What the arithmetic rests onWhere it was producedHow a reader could check it
The Vasant unit's ten monthly changesMade up for teaching, then carried here whole rather than rebuiltMultiply the ten factors by hand. The chain is ten steps long and a sheet of paper finishes it.
The Nakshatra unit's ten monthly changesThe same made up set of monthsThe second worked table above runs the identical arithmetic on it.
The three definitions themselvesOrdinary arithmetic, owned by nobody in particularAny two months put through all three forms behave the same way. The behaviour described here does not depend on which months are chosen.
Any rate, threshold, period or published standardNone is used, so none is quotedNothing to check: no rate or standard enters the arithmetic anywhere.

The Vasant unit and the Nakshatra unit are invented.
Educational material. Not advice on any investment, tax, budget or market position.

← Previous
Fin Maverick Micro CoursesExplore Micro 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
CalculatorsFrameworksComparisonsCareersShowdown
RESOURCES
All CoursesMicro 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.