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glossary
Benchmark
A feasible comparator chosen to challenge the actual claim, using compatible dates, risks, costs, and information.
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Hypothesis
A measurable claim about a defined population, outcome, horizon, and comparison that evidence can contradict.
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Simple return
Gain relative to beginning wealth over one period; compound consecutive periods by multiplying growth factors.
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Log return
Natural logarithm of a positive wealth ratio; additive through time for a consistent series.
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Basis point
0.01 percentage points, or 0.0001 as a fractional return. A rate moving 2% to 3% changes by 100 basis points.
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Percentage point
The direct difference between percentage rates. Moving 4% to 6% is two percentage points and a 50% relative increase.
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Conditional probability
Probability within a specified information or event group; reversing the condition generally changes the denominator.
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Base rate
The event frequency before considering the additional signal; rare events can produce many false alerts even with a sensitive detector.
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Expected value
Probability-weighted average outcome under a distribution; not a loss bound or a guarantee for one realization.
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Variance
Average squared deviation under the chosen population or sample convention; standard deviation takes its square root.
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Skewness
A measure of distributional asymmetry. Negative skew can coexist with positive average return.
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Excess kurtosis
Ordinary kurtosis minus three; distinguish convention and noisy tail estimation before interpreting a reported number.
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Covariance
Paired co-movement about the respective means, retaining the product of the variables' units.
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Pearson correlation
Covariance normalized by positive standard deviations; describes linear association, not general independence or causality.
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Spearman correlation
Correlation of ranks, measuring monotonic ordering rather than linear spacing of raw values.
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Autocorrelation
Association of a series with its lagged values; overlapping targets can create it without independent new evidence.
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Standard error
Sampling spread of an estimator, distinct from the spread of individual observations. Independence-based formulas can fail under dependence.
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Confidence interval
An interval from a procedure with stated repeated-sampling coverage under assumptions, not a future-loss bound.
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P-value
Extremeness probability for the statistic under the null and sampling model; not a probability that the null is true.
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Statistical power
Probability of rejecting a false null for a specified alternative under the test's assumptions.
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CAGR
Constant annual compound growth rate matching positive starting and ending wealth over stated years without external flows.
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Drawdown
Loss from a running wealth peak to a later observation; historical maximum is not a future maximum-loss guarantee.
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Sharpe ratio
Same-frequency mean excess return divided by excess-return standard deviation, with explicit annualization and cost conventions.
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Sortino ratio
Return above a stated target relative to downside deviation; target and denominator conventions must be declared.
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Point-in-time data
Values and identities representing what was actually available at each historical decision, including relevant vintages and latency.
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Look-ahead bias
Historical decisions use information not yet available at their stated decision time.
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Survivorship bias
Selection based on surviving to a later date can change the historical population and omit failures.
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Holdout
An evaluation sample protected from fitting and selection; its information role changes once used to redesign a procedure.
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Purging
Removing ineligible training labels whose information intervals overlap a held-out interval under a defined design.
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Embargo
A justified exclusion of nearby later training observations in certain blocked designs; not a universal arbitrary gap.
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Nested evaluation
Outer evaluation of a full inner selection-and-fitting procedure; each learned inner transformation respects its own training boundary.
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Precision
True positive calls divided by all positive calls; undefined zero-denominator cases need a convention.
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Recall
Detected positive events divided by actual positive events; a different conditioning group from precision.
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Calibration
Agreement between probabilities and repeated event frequencies in comparable groups, with counts and uncertainty.
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Discrimination
Ability to rank cases by outcome risk; useful ordering need not imply accurate probability levels.
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Brier score
Mean squared binary probability error; lower is better on the same eligible outcome sample.
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Pinball loss
Asymmetric residual loss targeting a requested quantile under population conditions; not a maximum-loss guarantee.
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Multiple testing
Repeated research choices create selection opportunities; the discarded experiments matter when interpreting a selected winner.
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FDR
Expected false-rejection proportion among rejections under a procedure's assumptions, not the probability one discovery is false.
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Turnover
Trading activity under a declared convention; per-executed-dollar costs need total bought-plus-sold notional when that is what is charged.
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Capacity
How feasible net opportunity changes with size, trading, liquidity, and constraints; a curve rather than a fixed return label.
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Implementation shortfall
Execution outcome relative to a defined decision benchmark, accounting for relevant delay and unfilled opportunity without double counting.
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Concept drift
A changed conditional input-to-outcome relationship; stable input histograms alone do not rule it out.
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Collider
A shared consequence of two causes; conditioning on it can create association between those causes.
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Difference-in-differences
Treated-group change minus comparison-group change; causal interpretation needs a justified identification design.
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Marginal risk
Local risk sensitivity under fixed estimated inputs; funded substitutions must include the leg reduced elsewhere.
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Shrinkage
Moving an estimate toward a structured target to trade bias for lower variance or improved stability under suitable conditions.
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Span
All linear combinations of a collection of vectors; coefficients need not sum to one or be positive.
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Null space
Input vectors mapped to zero by a linear transformation; its dimension plus rank equals the number of input coordinates.
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Gradient
Vector of partial derivatives; Euclidean directional derivatives use a dot product with a unit direction.

