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Glossary

Quantitative analysis glossary

A shared vocabulary for research methods, backtesting, risk review, portfolio analysis, and quantitative decision-making workflows.

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Methods

Research design, hypotheses, evidence standards, and review discipline.

3 terms

Backtesting

Historical evaluation terms and common sources of overstatement.

4 terms

Risk

Drawdown, exposure, loss control, and stress-review vocabulary.

3 terms

Portfolio

Allocation, concentration, diversification, and performance measurement terms.

3 terms

Methods

Methods terms

Research design, hypotheses, evidence standards, and review discipline.

Filter Methods
Methods

Hypothesis

A testable claim that states what relationship or behavior the research expects to observe.

  • A useful hypothesis includes a measurable outcome and a condition that would reject or weaken the claim.

Related: pre-analysis plan, primary metric, falsifiability

Methods

Pre-analysis plan

A written note that defines the question, sample, metric, and decision rule before reviewing the final result.

  • The plan reduces hindsight editing and makes exploratory work easier to label honestly.

Related: hypothesis, research journal, p-hacking

Methods

Primary metric

The main measurement used to judge whether a result supports the research question.

  • Secondary metrics can explain context, but they should not replace the primary metric after results are known.

Related: scorecard, benchmark, decision rule

Backtesting

Backtesting terms

Historical evaluation terms and common sources of overstatement.

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Backtesting

Lookahead bias

A research error where an analysis uses information that would not have been available at the simulated decision time.

  • Timestamp alignment, revised data, and future labels are common sources.

Related: point-in-time data, data leakage, out-of-sample

Backtesting

Out-of-sample

Data reserved for evaluation after rules or parameters have been chosen on separate development data.

  • Repeated tuning to the same evaluation set makes it part of the research process and weakens the evidence.

Related: walk-forward analysis, overfitting, validation

Backtesting

Survivorship bias

A research error caused by testing only observations that survived to the current sample.

  • Ignoring failed, delisted, or removed observations can make historical results look stronger than they were.

Related: universe selection, sample period, benchmark

Backtesting

Transaction costs

The frictions that reduce implementable results, including fees, spreads, market impact, and other execution costs.

  • Research that ignores realistic frictions can materially overstate performance.

Related: slippage, turnover, capacity

Risk

Risk terms

Drawdown, exposure, loss control, and stress-review vocabulary.

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Risk

Drawdown

The decline from a prior peak to a subsequent trough in an equity curve or portfolio value series.

  • Magnitude, duration, and recovery time all matter when evaluating survivability.

Related: time under water, tail risk, risk budget

Risk

Risk budget

A defined allowance for how much loss, volatility, concentration, or exposure a portfolio component may contribute.

  • Risk budgets are useful only when tied to review triggers and enforcement rules.

Related: position sizing, exposure, drawdown

Risk

Tail risk

Exposure to rare but severe outcomes that can dominate long-term results or survival constraints.

  • Tail risk is often underrepresented by average return or ordinary volatility alone.

Related: stress test, drawdown, ruin

Portfolio

Portfolio terms

Allocation, concentration, diversification, and performance measurement terms.

Filter Portfolio
Portfolio

Benchmark

A reference series or policy portfolio used to evaluate performance, risk, exposure, or opportunity cost.

  • A good benchmark should match the decision context closely enough to make comparisons meaningful.

Related: alpha, beta, tracking error

Portfolio

Concentration

The degree to which exposure is dominated by a small number of holdings, factors, sectors, or assumptions.

  • Concentration can be intentional, but it should be measured and justified.

Related: diversification, exposure, allocation

Portfolio

Rebalancing

The process of returning allocations toward defined targets or adjusting them under documented rules.

  • A rebalancing rule should specify cadence, tolerance bands, and exception handling.

Related: allocation, drift, turnover

Educational boundary

This content is for educational and technical research purposes only. It is not financial advice, investment advice, trading advice, tax advice, or legal advice. Backtests and examples may contain errors or omissions. Past performance does not guarantee future results. Always test code in a safe environment before using it with real accounts or live trading systems.

InQuantWeTrust publishes educational content for quantitative research and analytical methods. It does not provide personalized advice, trade recommendations, managed services, or guaranteed outcomes.