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Quant Analyst · CoreTrack
1Quantitative Methods, Financial Data & Programming
iProbability
Probability in FinanceRandom VariableProbability DistributionsThe Normal DistributionNormal Distribution ProbabilityThe Lognormal DistributionRandomness vs Uncertainty
iiStatistics 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…
iiiCorrelation and Regression
RegressionCorrelation and CausationOrdinary Least SquaresInteraction TermsRegression CoefficientsRegression vs ClassificationHow to Build a…Spurious CorrelationRegression, Correlation and FitResidualsMulticollinearityAutocorrelation and Partial Autocorrelation
ivTime 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
vSimulation and Numerical Methods
SimulationMonte Carlo SimulationHow to Run a…Numerical MethodsIterationResampling and the BootstrapPseudorandom Numbers and the SeedConvergence and ToleranceNumerical Stability
viOptimisation
OptimisationLocal and Global OptimaConstraintsConvex OptimisationThe SolverLinear ProgrammingThe Objective FunctionConstraint ViolationThe Feasible SetLagrange MultipliersQuadratic Programming
viiModelling 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
viiiBacktesting and Research Integrity
BacktestingBacktest vs Live PerformanceHow to Document a…How to Prevent Backtest…Out-of-Sample TestingWalk-Forward AnalysisMultiple TestingP-HackingData Snooping
ixData 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
xProgramming for Finance
Data PipelinesAPIs for Financial DataAPI vs CSV FileDatabases in FinancePython for FinanceJoinsSQL for FinanceThe Analysis Workflow
xiQuantitative Research
Research DesignThe Data Generating ProcessReproducibilityPeer Review in Analytical WorkThe Research HypothesisRobustness and Sensitivity
2Stochastic Calculus & Derivative Pricing Theory
iProbability Foundations
The Probability SpaceRandom VectorsSigma-AlgebraExpectationSample Space and EventsDensity and Distribution FunctionsRisk-Neutral ProbabilityState Price Density vs…
iiStochastic Processes and Jumps
Properties of a Stochastic ProcessMartingaleBrownian Motion and Its PropertiesBrownian Motion vs Geometric…Stopping TimeThe Markov PropertyState VariablesTransition ProbabilityQuadratic VariationQuadratic Variation vs Ordinary…Submartingale and SupermartingaleMartingale RepresentationMarkov Process vs MartingaleOptional StoppingFiltrationJump ProcessesThe Poisson ProcessLevy ProcessesJump Diffusion
iiiIto Calculus
The Ito IntegralThe Ito Integral vs the Riemann IntegralInfinitesimals in Stochastic CalculusQuadratic CovariationIto's LemmaHow to Apply Ito's…The Infinitesimal GeneratorIto Calculus vs Ordinary Calculus
ivStochastic Differential Equations
Stochastic Differential EquationsStochastic Differential Equation vs…Drift and DiffusionStrong and Weak Solutions ComparedDiscretisationGeometric Brownian Motion
vPricing Theory and No-Arbitrage
No-ArbitrageGirsanov, Radon-Nikodym and Change…Physical and Risk-Neutral Measures…The Fundamental Theorems of…The Law of One PriceThe Pricing KernelDiscount Factors and Zero-Coupon PricesReplication vs HedgingComplete Market vs Incomplete MarketClearing Margin Architecture
viOption Pricing Theory
European and American OptionsMonte Carlo European OptionThe Black-Scholes PDEBlack Scholes and the GreeksThe Payoff FunctionThe Binomial ModelBinomial Option PricingDelta Hedging in TheoryBoundary, Initial and Terminal ConditionsThe Exercise BoundaryHow to Check Put-Call…
viiVolatility Models
Constant, Local and Stochastic…Vasicek Model vs CIR ModelThe Heston ModelThe SABR ModelThe Volatility ProcessImplied VolatilityVolatility Smile vs Skew vs Surface
viiiInterest Rate Models
Interest-Rate DerivativesMean ReversionThe Zero-Coupon BondThe Ornstein-Uhlenbeck ProcessThe Discount CurveZero RatesShort-Rate Model vs Market Model
ixNumerical Pricing
Closed Form and Numerical…Monte Carlo PricingEuler and Milstein Schemes ComparedTree MethodsFinite Difference MethodsNumerical Error and StabilityVariance Reduction
xCalibration and Model Risk
Model OverrideMarket Price and Model PriceCalibrationHow to Document a Pricing ModelThe Educational Illustration LabelMarket ConventionsModel Uncertainty and LimitationsBacktesting a Pricing ModelIdentifiabilityCalibrated ParametersThe Calibration Loss Function

The Educational Illustration Label: Why Every Output Carries It

The educational illustration label claims that a figure was computed to demonstrate a relationship and was not observed anywhere. The label says the number is arithmetic on invented inputs, and it says nothing at all about whether the arithmetic is right or the relationship worth demonstrating.

The phrase appears everywhere in this subject area. The label sits under the figures, it sits in the closing line of every reference block, and it sits beside every parameter set that anybody has named. Ten reading orders have carried the label and none of them stopped to say what it means. The meaning is worth stopping for.

The reason for stopping is not tidiness. A label that appears everywhere and is explained nowhere becomes furniture, and furniture gets read past. Worse, a label that is read past gets guessed at, and the guess almost everybody makes is the wrong one: that it is a hedge, a line of small print, a way of saying do not hold me to this. The label is the opposite of a hedge, and a reader who guesses wrong will treat every number in this subject area with less care than it deserves rather than more.

Start with something concrete. A cookery book gives a recipe for four people and says, at the foot of the recipe, that the timings were worked out on a domestic oven at a stated temperature rather than measured in a test kitchen. The line about the oven is not an apology. The line is the single most useful one in the recipe. Timings are arithmetic on a stated assumption, and the line says so. An oven that runs hot tells the cook precisely which part of the recipe to adjust, and it is clear that nobody stood over a stopwatch to produce those numbers. Take the sentence away and a reader would reasonably assume somebody had. The recipe has said more by naming where its numbers came from, not less.

Naming where a number came from is exactly what the educational illustration label does, worked out carefully and in the specific setting of a subject area whose every number is constructed. Everything below is about a sentence, not about a quantity. Every number named here was derived elsewhere and is pointed at rather than recomputed, an instance of the rule under discussion.

What does the educational illustration label claim?

The label makes two assertions and no more. The first is about the number itself: it was produced by calculation. The second is about the calculation: its starting values were chosen by an author rather than taken from anywhere. Put together, the label says that the figure is downstream of somebody sitting down and picking a few numbers, and that no part of the chain touches a measurement of anything.

An educational illustrationA figure computed to demonstrate a relationship rather than observed. It exists so that a mechanism can be shown working on numbers a reader can check. is therefore a claim about provenanceWhere a number came from: what was assumed, what was calculated, and by what route. It is a separate question from whether the number is correct. and about nothing else. Provenance is a question with a definite answer for every figure ever produced. Somebody either read the number off something, or they worked it out. The label answers that question, in public, before anybody has to ask.

A worked case shows how sharp the claim is. Consider the figure 0.559618, the second normal term in a closed form price on the standard process. The label attached to it says: nobody observed 0.559618 anywhere. The figure is what comes out when a starting value of Rs 100/-, a volatility of 20 per cent, a rate of 5 per cent and a horizon of one year, all invented, are pushed through a formula. The label pins the figure to a route rather than to a source, and the route is the only thing anybody could ever check.

The provenance partition, stated as sets rather than as a quantity
$$ \mathcal{F} \;=\; \mathcal{I}\;\cup\;\mathcal{C}, \qquad \mathcal{I}\cap\mathcal{C}=\varnothing, \qquad \mathcal{O}\;=\;\varnothing $$ $$ c\in\mathcal{C}\;\Longleftrightarrow\; c \;=\; g\!\left(i_1,\dots,i_k\right)\ \text{ for some arithmetic } g \text{ and } i_1,\dots,i_k\in\mathcal{I} $$
\(\mathcal{F}\)every figure appearing anywhere in this subject area
\(\mathcal{I}\)the invented inputs, the numbers an author chose outright
\(\mathcal{C}\)the computed consequences, everything reached by arithmetic on those inputs
\(\mathcal{O}\)the observations, meaning figures read off something outside this subject area
\(g\)an arithmetic procedure of one line or a hundred
\(k\)however many of the invented inputs a particular figure draws on
What it says in wordsEvery figure here falls into one of exactly two piles, the numbers somebody chose and the numbers that follow from them by working, the two piles do not overlap, and the pile of figures taken from outside is empty. The label is the sentence that announces which pile a figure sits in and announces that the third pile has nothing in it.

Notice what the partition settles and what it leaves open. The partition settles that a figure is not an observation. A wrong calculation on invented inputs is still a calculation on invented inputs and still belongs in the second pile, so the partition does not settle that the arithmetic reaching a figure was carried out properly. The pile is defined by route, not by quality. The distinction between route and quality is the hinge of everything that follows.

Two things asserted. Four things left completely open. EDUCATIONAL ILLUSTRATION WHAT IT ASSERTS 1. This figure was computed. Nobody read it off anything anywhere. 2. Its inputs were chosen. An author picked them so that a mechanism could be shown working. WHAT IT SAYS NOTHING ABOUT whether the arithmetic was done right whether the relationship is worth showing whether the inputs were well chosen whether anybody requires the label at all The left column is a statement about a route. The right column is everything a reader still has to judge. Announcing a route is not the same as vouching for it.
Splitting the label into its two assertions and its four silences shows that it fixes only where a number came from, leaving the correctness of the working, the value of the demonstration and the wisdom of the chosen inputs entirely to the reader.
Try it out

What does the educational illustration label claim about a figure it is attached to?

Try it out

Is the educational illustration label a disclaimer?

What does the label not claim?

The silences are the harder half, and they are harder because the label sits in the visual position that small print usually occupies. Under a figure, in grey, in a smaller size. Everything a reader has ever seen in that position was there to reduce somebody's exposure, so the eye arrives expecting a hedge and finds a provenance statement instead.

Take the four silences one at a time. Each one is a real gap that somebody could fall into.

The label does not claim the arithmetic is right. An arithmetic errorA mistake in the working: a wrong sign, a term dropped, a value carried into the next line incorrectly. It is a fault in the calculation, not in where the calculation started. in a labelled figure is still an arithmetic error and the label neither hides it nor forgives it. If the closed form price of the at-the-money contract on the standard process is written as Rs 10.45/- and somebody has in fact fumbled the working and should have arrived somewhere else, the label has not made the result any less wrong. The label has named where to look for the mistake, and the place to look is the working.

The label does not claim the relationship being demonstrated is worth demonstrating. A demonstration could compute something perfectly and be teaching a relationship that nobody needs, and the label would sit under it looking exactly the same as it does under something useful. Judging the worth of a demonstration is a reader's job and an author's responsibility, and no sentence at the foot of a figure discharges either.

The label does not claim the inputs were well chosen. The four numbers underneath this whole subject area, a starting value of Rs 100/-, a drift of 8 per cent, a volatility of 20 per cent and a rate of 5 per cent, were picked because they make results land on figures a reader can verify in their head. Half the variance rate comes to 0.02 exactly, the drift less that correction comes to 0.06 exactly, and volatility times the square root of the horizon comes to 0.20 exactly. The four are convenient choices, openly convenient, and the label says nothing about whether convenience was the right criterion. The label says only that they were choices.

And the label does not claim that anybody requires it. There is no authority behind it. No regulator anywhere has written it down and no standard body publishes it. The label is a sentence this subject area writes because its figures would be unreadable without it, not a sentence anybody made it write.

The label picks a column. It has no opinion at all about the row. OBSERVED SOMEWHERE COMPUTED FROM CHOSEN INPUTS THE WORKING IS RIGHT THE WORKING IS WRONG a correct reading of something outside this subject area no figure here sits in this box a misreading, still of something outside this subject area nor in this one WHAT IS INTENDED HERE chosen inputs, working done properly, route stated openly LABELLED AND STILL WRONG the label was attached and it changed nothing whatsoever The thick border is the reach of the label: one column, both rows. Both boxes on the right carry the same label. Only one of them is acceptable.
Sorting a figure by provenance across the columns and by correctness down the rows shows the label reaching the whole right hand column and neither row, so a labelled figure and a labelled wrong figure are indistinguishable to the label itself.
The one thing the label implies, and the three it does not
$$ L(x)\;\Longrightarrow\; x\notin\mathcal{O} \qquad\qquad L(x)\;\not\Longrightarrow\; g\ \text{was carried out correctly} $$ $$ L(x)\;\not\Longrightarrow\; \mathcal{I}\ \text{was well chosen} \qquad\qquad L(x)\;\not\Longrightarrow\; \text{the demonstration is worth making} $$
\(L(x)\)the label attached to a figure \(x\), read as an assertion
\(x\)any single figure anywhere in this subject area
\(\mathcal{O}\)the observations, the set with nothing in it here
\(g\)the arithmetic that produced the figure from the chosen inputs
\(\mathcal{I}\)the invented inputs the arithmetic started from
What it says in wordsAttaching the label to a figure entails one thing only, that the figure is not an observation, and entails none of the three things a reader most wants to be told: that the working is sound, that the starting numbers were sensible, and that the point being made is worth making. Three arrows are deliberately crossed out, and the crossings are the content of this block.
Try it out

Does the label say the relationship being demonstrated is worth demonstrating?

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What separates an invented input from a computed consequence?

The partition above does no work until a figure can be sorted into it on sight. The test is short: what would have to change for the number to change? If the answer is that somebody would have to make a different decision, it is an invented inputA starting value chosen to make a demonstration work. Nothing determines it except an author deciding, which is why it can only be declared and never derived.. If the answer is that some other number would have to change first, it is a computed consequenceA figure following from invented inputs by arithmetic. Change an input and it moves; change nothing and it cannot move at all..

Run the test on the volatility of 20 per cent. Only somebody deciding to write a different number would make it something else. Nothing else in this subject area determines it, no calculation reaches it, and no argument forces it. The volatility is an input. Now run the test on the median of the distribution at the horizon, Rs 106.18/-. A different starting value, a different drift, a different volatility or a different horizon would make the median something else. The median cannot move on its own. The median is a consequence.

The test also catches the cases people find slippery. The realised quadratic variation of the logarithm along the locked path at its twelve step partition is 0.040300 rather than 0.040000, and that excess of exactly 0.000300 unsettles readers who expected the round number. But the test is not about roundness. The realised figure moves only if the driving values or the parameters move, so it is a consequence, and the fact that it is not round is a fact about the arithmetic rather than a sign of sloppiness. Anybody quoting 0.040000 as the twelve step reading would be reporting the limit and calling it the measurement.

An observationA figure taken from somewhere outside this subject area, such as a reading, a quote or a record. This subject area contains none of them anywhere. would fail both halves of the test. An observation changes when the thing being observed changes, and the thing being observed sits outside this subject area entirely. Observation is the category this subject area does not use, and the label is how a reader can tell.

FigureWhich pileBecause
Rs 100/- starting valueInvented inputOnly a different decision would change it
Volatility of 20 per centInvented inputDeclared rather than derived
Rs 106.18/- median at the horizonComputed consequenceMoves if the drift, volatility or horizon moves
0.559618Computed consequenceFollows from the rate, volatility and horizon
0.040300 realised at twelve stepsComputed consequenceFollows from the driving values and the parameters
The five quoted volatilitiesInvented inputChosen so that fitting has something to be done to
19.82 per cent fitted volatilityComputed consequenceFalls out of the five inputs and a stated loss
Anything taken from outsideNo such figure exists hereThat is exactly what the label announces

Sorting a figure takes one question and the question never has two answers, so the label can be attached honestly to every number in this subject area without anybody having to make a judgement call.

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Why does every figure in this subject area carry the label?

Because every figure in this subject area needs it. The claim sounds like a slogan until the counting is done. This whole subject area, ten reading orders and ninety four guides, rests on a listable set of chosen numbers, and every other figure anybody has ever quoted from it is arithmetic on that set.

Here is the complete list. Counting an input as one decision an author made brings the total to thirteen, with a parameter set named as a group counting once. Counting individual numbers instead gives a larger total, but not a longer list. The grouping changes the count and never the content.

NumberThe invented inputWhat it was set to
1The starting value of the standard processRs 100/-
2The drift under the physical measure8 per cent a year
3The volatility20 per cent a year
4The risk-free rate, continuously compounded5 per cent a year
5The horizonOne year
6The income the process pays outNone at all
7The two contract strikes used throughoutRs 100/- and Rs 110/-
8The locked path, as twelve driving valuesSumming to zero, squares summing to twelve
9The second path, as an ordering of the same twelveChosen to give a correlation of minus 0.7
10The rate model parameter setLong-run mean, speed and rate volatility
11The volatility model parameter setStarting variance, long-run variance, speed, volatility of volatility and correlation
12The jump parameter setIntensity, and the mean and spread of the jump size
13The five quoted volatilities, an invented observation set24.0, 22.0, 20.0, 19.0 and 18.5 per cent
0Figures supplied from outside any of the aboveNone, anywhere, ever

Everything else came out of those. The mean at the horizon of Rs 108.33/- and the median of Rs 106.18/-, and the gap of Rs 2.15/- between them which is the half variance correction made visible. The discount factor of 0.951229. The intermediate quantities of 0.350000 and 0.150000 and the price of Rs 10.45/-. The three fitted volatilities of 19.82, 20.70 and 20.44 per cent that identical data returns under three different loss functions. The two jump parameter sets that agree exactly on a total variance of 0.046250 and differ by a factor of four on excess kurtosis, 0.106647 against 0.026662. Every one of them is arithmetic on the thirteen.

The label is therefore not a policy applied to the figures; it is a description of them that happens to be true of every single one. There was never an occasion where somebody had to decide whether the label applied. No figure ever came from anywhere else.

Thirteen decisions on the left. Everything else on the right came out of them. THE INVENTED INPUTS, COMPLETE 1 The starting value: Rs 100/- 2 The drift: 8 per cent a year 3 The volatility: 20 per cent a year 4 The rate: 5 per cent a year 5 The horizon: one year 6 The income: none at all 7 The two strikes: Rs 100/- and Rs 110/- 8 The locked path: twelve driving values 9 The second path: those twelve, reordered 10 The rate model set: three numbers 11 The volatility model set: five numbers 12 The jump set: three numbers 13 The quoted volatilities: five numbers EVERY FIGURE ON EVERY PIECE HERE Rs 108.33/- Rs 106.18/- Rs 2.15/- 0.951229 0.559618 Rs 10.45/- 19.82 per cent 0.040300 each one arithmetic on the left, and none of it from anywhere else FIGURES FROM OUTSIDE this box is empty on every one of the ninety four pieces The list on the left is short enough to print, which is the point of publishing it. A reader who has the thirteen can rebuild anything here from scratch.
Listing all thirteen chosen inputs beside the figures they generate shows that the label is a true description of every number here rather than a policy applied to them, because the box for figures taken from outside stays empty throughout.
Try it out

How many invented input sets does this whole subject area rest on, counting one decision as one input?

What would be true if the label were absent?

Strip the label off and nothing about the numbers changes. Rs 106.18/- is still Rs 106.18/-. Removing the label changes what a reader is entitled to conclude, and the change is large.

A reader who finds a figure with no statement of where it came from will assume it was observed. The assumption is not carelessness on their part; it is the ordinary reading. Numbers in print, presented without qualification, are taken as reports. A temperature in a weather column is a reading. A population in an atlas is a count. A price in a table is a quote. The default is that somebody went and looked, and the default holds because it is right almost everywhere.

So an unlabelled Rs 10.45/- reads as a price somebody saw. An unlabelled 20 per cent reads as a volatility somebody measured. An unlabelled set of five quoted volatilities at 24.0, 22.0, 20.0, 19.0 and 18.5 per cent reads as a curve somebody pulled off a screen, and once it reads that way, everything downstream of it inherits the same standing. The fitted 19.82 per cent stops being an illustration of what a squared price loss does to five invented numbers and becomes, in the reader's head, a finding about something.

Without the label this subject area would be making claims about the world, and it has no basis for a single one of them and never intended to make any. The sharp version runs like this. Ninety four guides asserting how something behaves, resting on four numbers somebody chose over a coffee because they made the arithmetic land neatly, presented as though they had been gathered. There is a word for that and it is not a flattering one.

The label is what stops the inheritance at the top. The label says: the chain starts here, with a decision, and everything below it is a demonstration of a mechanism rather than a report about anything. ReproducibilityWhether a reader can recompute a figure from what was published alongside it. It is the only kind of checking available when a number was constructed rather than observed. replaces sourcing as the check available on the figure, and reproducibility can only replace sourcing if the reader has been told which of the two applies.

The same figure, twice. Only the third box changes, and it changes completely. WITH THE LABEL Rs 10.45/- carrying the sentence that names its route THE READER CONCLUDES arithmetic on numbers somebody chose, which they can redo themselves SO THE CLAIM IS that this relationship follows from these inputs. A claim it can support. THE SAME FIGURE, BARE Rs 10.45/- identical arithmetic, no sentence beneath it THE READER CONCLUDES somebody went and looked, because that is what a bare number means SO THE CLAIM IS that this is how something out there behaves. A claim it cannot support. Nothing was added to the number and nothing was taken away from it. The only difference is what a reader is entitled to walk away believing. Removing the label does not weaken a claim. It manufactures a bigger one.
Following the identical price of Rs 10.45/- along a labelled chain and an unlabelled one shows the arithmetic never changing while the claim at the end swaps from something that can be supported to something that cannot.
Try it out

Without the label, what would a reader be entitled to assume about the figures here?

Where does the label have to appear?

The test for placement is the same one that applies to a unit. Nobody writes a length as 4 and leaves the reader to work out whether it was metres or feet, and nobody puts the unit once at the front of a document and considers the rest covered. The unit travels with the number because the number is meaningless without it.

Provenance travels the same way, and for the same reason. A figure that gets quoted, copied into a note, read aloud or lifted into a summary arrives at its destination carrying whatever was attached to it and nothing else. A label that lives only in a preface has already been left behind by the time the figure is doing any work.

So the rule is simply stated: wherever a number appears in a form somebody could carry away, the statement of where it came from appears with it. In practice that means every figure and its caption, every table of quantities, every worked step in the running text, every quiz whose answer is a number, every parameter set named anywhere, every simulation wherever one appears, and the closing note of every reference block.

Asked the other way, the question gets shorter still. Is there anything here that carries a number and does not need the label? The branch exists in principle and is empty in practice. Every guide in this subject area carries a figure, and no figure anywhere was observed. The decision has one branch that is ever taken, so the label is on everything rather than on a selection.

One branch is taken every time. The other has never been taken here. DOES THIS THING CARRY A NUMBER A READER COULD CARRY AWAY? YES THE LABEL GOES WITH IT attached to the number, not parked once at the front NO NOTHING TO LABEL no figure has ever reached this branch WHERE THE YES BRANCH LANDS, IN PRACTICE every figure and the caption under it every table of quantities every worked step in the running text every quiz whose answer is a number every parameter set named anywhere every simulation, wherever one appears the closing note of every reference block Provenance travels with a number the way a unit does, or it does not travel at all.
Testing every item against the question of whether it carries a number a reader could take away lands on the same branch each time, which is why the label sits on all ninety four guides rather than on a chosen few.
Try it out

Which parts of this subject area carry the educational illustration label?

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What does the label not excuse?

The label is not a licence. Four things sit outside its reach entirely, and it is worth naming them one at a time because each has a different flavour of wrongness and the label is equally useless against all four.

An arithmetic error. Somebody drops a term, carries a sign the wrong way, or divides where they should multiply. The number that comes out is not a demonstration of anything; it is a demonstration of a mistake. The label announces that this figure came from working, and the working is broken, so the label has done nothing except point directly at the fault.

A wrong relationship. The arithmetic is flawless and the thing it is showing is not true. A demonstration might claim that the size of a discretisation error falls smoothly as the partition refines, and compute every step correctly, and still be wrong. Along the locked path the signed error runs positive three times, then negative twice, then positive again, crossing zero between three steps and four and once more between six and twelve. Correct arithmetic in the service of a false claim is still a false claim.

A misleading arrangement. Every individual figure is right, every calculation checks out, and the way they have been ordered or drawn tells a story the figures do not support. Drawing a coarse-partition sequence as a smooth approach when the numbers oscillate is exactly this. Nothing in the table is false and the picture is.

And a number chosen to make a point come out. A chosen number is the fault the label is most often reached for and the one it covers least. If an author picks an input because it delivers a tidy conclusion and then labels the output as an illustration, they have not illustrated anything; they have arranged a result and attached a sentence that describes a different activity. An illustration demonstrates a mechanism on stated inputs. Working backwards from a desired answer to the inputs that produce it is a separate act, and calling it an illustration does not convert it into one.

A disclaimerA statement that lowers a standard or limits what somebody can be held to. The label is not one, which is why none of these four is covered by it. would arguably cover some of these, and the overlap is precisely why the confusion matters. The label is not a disclaimer, so it does not lower any standard, so there is nothing for these four to shelter under.

The covered band holds one item. Four faults stand entirely outside it. WHAT THE LABEL COVERS Where the number came from, and that is the whole of it. NOT COVERED AN ARITHMETIC ERROR a sign carried the wrong way, a term dropped in the middle the working is broken NOT COVERED A WRONG RELATIONSHIP flawless arithmetic in the service of a claim that is not true the claim is broken NOT COVERED A MISLEADING ARRANGEMENT every figure right and the ordering or the drawing tells a story the picture is broken NOT COVERED AN INPUT PICKED TO GET AN ANSWER working backwards from the conclusion somebody wanted the whole act is broken A disclaimer would arguably stretch over some of these. The label is not a disclaimer. Nothing on this row has anything to shelter under.
Drawing the label as a band that reaches only across provenance leaves four common faults standing outside its cover, each broken in a different place and none of them touched by the sentence beneath the figure.
Try it out

A labelled figure turns out to contain an arithmetic error. Does the label help?

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Does the label lower the standard a figure must meet, or raise it?

The failure: reading the label as a disclaimer

Somebody sees the sentence, reads it as small print, and concludes that the numbers above it are indicative rather than exact. The reader then relaxes. If a figure is only illustrative, why check it to six decimals? Why chase the 0.000300 excess in a realised variation? Why care whether a sign changes once or twice? The label said this was a demonstration, and demonstrations are surely allowed to be approximate.

Every step of that is backwards, and the inversion is total rather than partial. The label did not say the figure was approximate. The label said the figure was constructed. Approximate and constructed are unrelated properties, and one of them has a consequence the reader has not noticed.

The consequence is this. An observed figure has two things holding it up: the source it came from, and the working that carried it into print. Challenged, it has somewhere to appeal to: the record can be gone back to, read again, and checked for what it says. A constructed figure has one thing holding it up, and it is the working, so removing any care from the working removes the only support the number ever had.

An author who reads the label as permission is worse placed still. Such an author has published a number whose entire claim to standing is that it can be recomputed, and then declined to make sure it recomputes. Left behind is a set of figures that agree with nothing, defended by a sentence whose whole purpose was to tell the reader how to check them. The label was meant to make checking easier and has been used to make it pointless.

Two supports, then one, then none. The middle panel is where every figure here sits. AN OBSERVED FIGURE THE NUMBER THE SOURCE somewhere to appeal to THE WORKING the route from source to print AN ILLUSTRATION THE NUMBER THE WORKING, ALONE there is no source to appeal to, so this is all THE LABEL READ AS PERMISSION THE NUMBER, TILTING THE WORKING, RELAXED the one support was cut by the reading itself Losing one support of two leaves a figure standing. Losing one of one does not. So a constructed number needs more care in the working than an observed one, not less. The label raises the standard. Reading it as a hedge inverts it exactly.
Drawing an observed figure on two supports and a constructed one on a single support shows why relaxing the working is survivable in the first case and fatal in the second, which is the whole reason the label raises rather than lowers the standard.
The support under a figure, in each of the two cases
$$ \text{support}(x) \;=\; \begin{cases} \{\,\text{the source},\ \text{the working}\,\} & x\in\mathcal{O}\\[4pt] \{\,\text{the working}\,\} & x\in\mathcal{C} \end{cases} $$
\(x\)the figure in question
\(\mathcal{O}\)the observations, with somewhere outside this subject area to appeal to
\(\mathcal{C}\)the computed consequences, with only their own route
supporteverything a challenge to the figure could be answered with
What it says in wordsAn observed figure can be defended two ways and a constructed one can be defended only by its working, so the set of things holding it up has exactly one member. Attaching the label announces which of these two sets applies, and announcing the smaller set is a statement that the working now has to carry everything on its own.
Try it out

Does the educational illustration label lower the standard a figure must meet?

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.

How does a reader use the label when a number lands in front of them?

All of the above is a way of thinking, and a way of thinking is worth having only if it changes what somebody does on a Tuesday afternoon. Here is what it changes, for the three kinds of person who will meet a figure from this subject area.

A student working through the material uses the label as an instruction about method. The label tells them that checking the figure means recomputing it, not looking it up. So when the median at the horizon is given as Rs 106.18/-, the response is not to wonder which market that came from, but to take the starting value, the drift, the volatility and the horizon off the list of thirteen and get Rs 106.18/- back. If it does not come back, one of two things is wrong and both are close at hand: either the working shown is faulty, or the reader has misread it. Nothing external can be blamed and nothing external needs to be consulted.

Somebody reviewing a body of work uses the label as a sorting instruction. Chosen and derived numbers attract completely different questions, so a reviewer's first pass over any set of numbers separates the two. A chosen number attracts: why this value, was the choice disclosed, and does the conclusion survive a different choice. A derived number attracts: does it recompute, and is every intermediate step visible. Mixing the two wastes a review. Asking a derived number to justify its value is asking the wrong question of it, and asking a chosen number to recompute is asking an impossible one.

And somebody writing uses the label as a discipline rather than a formality. Attaching it commits them to the claim that the figure is reproducible from what the reader was given, and so commits them to publishing enough for that to be true. The commitment is why this subject area carries the thirteen inputs as a printed list rather than mentioning them in passing, and why the locked path is published as twelve values rather than drawn from a generator. A path sampled fresh each time cannot be recomputed by a reader, so labelling it would be attaching a claim that could not be honoured.

The label converts every figure here from something to be believed into something to be checked, and the only work it asks of a reader is to accept that invitation. Take the fitted volatilities of 19.82, 20.70 and 20.44 per cent. Three answers, from identical data, differing only by the loss chosen. A reader treating those as observations would be baffled and would look for the mistake. A reader treating them as constructed knows immediately where to look. The three losses are the place, and nothing about the data chose those three numbers because the loss function did.

Try it out

An author picks a starting value because it makes a conclusion come out neatly, then attaches the label. Is the label a defence?

Covered elsewhere. The median of Rs 106.18/-, the price of Rs 10.45/-, the second normal term of 0.559618, the realised variation of 0.040300 at twelve steps, the three fitted volatilities and the two jump parameter sets that share a variance of 0.046250 are named here and derived in the guides that build them. Documentation is a separate subject: what a pricing model has to record about its assumptions, its settings, its calibration inputs and its validation review is covered under model documentation, and the label is a different object from a document.

On jurisdiction, a point that matters here in particular. There is no rule from anywhere behind the educational illustration label. No authority requires it, no standard prescribes its wording, and no threshold, period or disclosure obligation attaches to it. The mathematics underneath this subject area holds wherever it is written down and carries no jurisdiction at all. Where a conduct duty does attach to how illustrative material is presented in some particular setting, that duty belongs to the authority concerned and must be confirmed at source rather than inferred from anything here. The educational illustration label is a practice that makes constructed figures honest.

Breaking Into Quants Bootcamp — Fin Maverick

References

SourceDocumentWhere
arXiv Quantitative FinancePreprint repository for treatments of model risk, reproducibility and the standing of constructed examplesarxiv.org
Social Science Research NetworkWorking paper repository for the same material, including presentation practice around illustrative outputssrn.com
Black, Scholes and Merton, 1973The closed form whose outputs of Rs 10.45/- and 0.559618 are named here and derived elsewherenamed in the text only
Merton, 1976The jump specification behind the two parameter sets sharing a variance of 0.046250, named and not derived herenamed in the text only
Hull, Shreve and WilmottStandard texts on stochastic calculus and derivative pricingnamed in the text only

The standard process, the thirteen inputs behind it and the five quoted volatilities are invented.
Educational material. Not advice on any investment, tax, budget or market position.

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