Fidamen

Implied Volatility Calculator

This calculator finds the implied volatility consistent with an observed option price using industry standard models and robust numerical routines. Choose the model that matches how the option is quoted (Black‑Scholes for spot‑based European options; Black‑76 for forward/futures based quotes).

Results are intended for indicative analysis and risk management. Numerical routines may fail to converge for deep in‑the‑money or extremely low prices; interpret outputs alongside market liquidity and quotes.

Updated Nov 30, 2025QA PASS — golden 25 / edge 120Run golden-edge-2026-01-23

Governance

Record e4e265e28fa7 • Reviewed by Fidamen Standards Committee

Standard Black‑Scholes implied volatility for European calls and puts with continuous dividend yield. Uses a robust root‑finding routine to match model price to observed market price.

Inputs

Results

Updates as you type

Implied volatility (Black‑Scholes)

OutputValueUnit
Implied volatility (Black‑Scholes)%
Primary result

Visualization

Methodology

Implied volatility is determined by numerically inverting the option pricing model: find the volatility input that makes the theoretical model price equal the observed market price.

This implementation computes intermediate terms (d1, d2) and model price, then applies a root‑finding procedure that combines bracketed solvers with safeguarded iterations to improve stability and convergence across a wide range of strikes and maturities.

Published standards and best practices for numerical testing and data integrity are followed where applicable (see citations). Always validate with a small set of known cases and compare with exchange quotes when available.

Key takeaways

Select the model consistent with how the option is quoted, provide clean market inputs, and interpret the return as a model‑dependent parameter, not a market‑observed fixed quantity.

Run sensitivity checks (change price by bid/ask, vary rates) and retain input snapshots for governance. For regulatory or production use, validate numerics against a vetted implementation and document test coverage following the cited standards.

Worked examples

Example 1: Spot 100, Strike 100, Price 2.5, 30 days, r 1% → implied vol ≈ value returned by Black‑Scholes method. Use result as a market‑quoted implied vol approximation.

Example 2: Futures quoted option: choose Black‑76, provide futures forward inputs indirectly via spot, rates, yield; result will differ from spot‑based Black‑Scholes implied volatility.

F.A.Q.

What should I do if the calculator returns no convergence or an error?

Check input consistency: ensure market price is within theoretical bounds (not below intrinsic value and not implausibly large). Increase the market price input precision, try an alternate model (Black‑76), and confirm days to expiry. If issues persist, widen search bounds or use a validated market data feed.

Does the tool account for options with American exercise or discrete dividends?

No. This tool implements European pricing models (Black‑Scholes and Black‑76) with continuous dividend yield. American options, early exercise features, or discrete dividend schedules require specialized models and may produce different implied volatilities.

How accurate is the implied volatility number?

Accuracy depends on the model fit, quality of market price, and numerical solver tolerance. Reported volatility is a model parameter that gives the closest theoretical price under the chosen model. Confirm sensitivity using vega and alternative methods.

How should I use the result in risk management?

Use implied volatility as a market indicator and input for greeks and scenario analysis. For position sizing or regulatory reporting, perform independent checks, include model risk buffers, and retain source data and timestamps for audit.

Sources & citations

Further resources

Versioning & Change Control

Audit record (versions, QA runs, reviewer sign-off, and evidence).

Record ID: e4e265e28fa7

What changed (latest)

v1.0.02025-11-30MINOR

Initial publication and governance baseline.

Why: Published with reviewed formulas, unit definitions, and UX controls.

Public QA status

PASS — golden 25 + edge 120

Last run: 2026-01-23 • Run: golden-edge-2026-01-23

Engine

v1.0.0

Data

Baseline (no external datasets)

Content

v1.0.0

UI

v1.0.0

Governance

Last updated: Nov 30, 2025

Reviewed by: Fidamen Standards Committee (Review board)

Credentials: Internal QA

Risk level: low

Reviewer profile (entity)

Fidamen Standards Committee

Review board

Internal QA

Entity ID: https://fidamen.com/reviewers/fidamen-standards-committee#person

Semantic versioning

  • MAJOR: Calculation outputs can change for the same inputs (formula, rounding policy, assumptions).
  • MINOR: New features or fields that do not change existing outputs for the same inputs.
  • PATCH: Bug fixes, copy edits, or accessibility changes that do not change intended outputs except for previously incorrect cases.

Review protocol

  • Verify formulas and unit definitions against primary standards or datasets.
  • Run golden-case regression suite and edge-case suite.
  • Record reviewer sign-off with credentials and scope.
  • Document assumptions, limitations, and jurisdiction applicability.

Assumptions & limitations

  • Uses exact unit definitions from the Fidamen conversion library.
  • Internal calculations use double precision; display rounding follows the unit's configured decimal places.
  • Not a substitute for calibrated instruments in regulated contexts.
  • Jurisdiction-specific rules may require official guidance.

Change log

v1.0.02025-11-30MINOR

Initial publication and governance baseline.

Why: Published with reviewed formulas, unit definitions, and UX controls.

Areas: engine, content, ui • Reviewer: Fidamen Standards Committee • Entry ID: 592b9741b452