pricing-vanilla-equity-options
Calculates option values with Black-Scholes, binomial, and Monte Carlo methods including Greeks sensitivity analysis. Use when pricing equity options, calculating Greeks, or evaluating option strategies.
Best use case
pricing-vanilla-equity-options is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Calculates option values with Black-Scholes, binomial, and Monte Carlo methods including Greeks sensitivity analysis. Use when pricing equity options, calculating Greeks, or evaluating option strategies.
Teams using pricing-vanilla-equity-options should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/pricing-vanilla-equity-options/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How pricing-vanilla-equity-options Compares
| Feature / Agent | pricing-vanilla-equity-options | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Calculates option values with Black-Scholes, binomial, and Monte Carlo methods including Greeks sensitivity analysis. Use when pricing equity options, calculating Greeks, or evaluating option strategies.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Pricing Vanilla Equity Options ## When To Use - Pricing European or American calls/puts on single-name equities or equity indices - Computing Greeks (delta, gamma, vega, theta, rho) for hedging or risk reporting - Comparing theoretical fair value against quoted market prices to identify mispricings - Evaluating simple option strategies (spreads, straddles, covered calls) at inception - Generating sensitivity tables for trade approval memos or client-facing valuation reports ## Inputs To Gather | Input | Description | Source Notes | |---|---|---| | **Spot price (S)** | Current underlying equity price | Live market feed or last close | | **Strike price (K)** | Contract strike | Term sheet or exchange listing | | **Time to expiry (T)** | Years (or fraction) to expiration date | Contract terms; use ACT/365 unless specified | | **Risk-free rate (r)** | Continuously compounded rate matching tenor | Treasury yield curve or OIS rate [VERIFY tenor match] | | **Dividend yield / schedule (q)** | Continuous yield or discrete dividend dates and amounts | Bloomberg/Refinitiv; confirm ex-dates [VERIFY] | | **Volatility (σ)** | Implied vol from market, or historical/realized vol | Volatility surface, ATM quote, or historical window | | **Option type** | Call or put | Contract terms | | **Exercise style** | European or American | Contract terms — drives model choice | ## Workflow ### 1. Validate and Normalize Inputs - Confirm spot, strike, and expiry are internally consistent (no expired contracts, no negative values). - Convert discrete dividends to a continuous yield if using Black-Scholes, or keep discrete for binomial/Monte Carlo. - Select the volatility input: implied vol (preferred for mark-to-market) vs. historical vol (fallback or scenario analysis). Note which is used. - Match the risk-free rate tenor to option expiry. Interpolate the yield curve if an exact tenor is unavailable. [VERIFY rate convention: continuous vs. simple] ### 2. Select Pricing Model - **Black-Scholes (closed-form):** Default for European options with continuous dividend yield. Fast and analytically tractable. Not suitable for American puts with early exercise value or discrete dividends of material size. - **Binomial tree (CRR or Leisen-Reimer):** Use for American options or when discrete dividends must be modeled explicitly. Choose ≥200 steps for convergence; confirm convergence by doubling steps and checking price stability (tolerance < 0.01). - **Monte Carlo simulation:** Use when payoff is path-dependent or when extending to multi-asset baskets. For vanilla options it serves as a cross-check. Use ≥100,000 paths with antithetic variates and report standard error. ### 3. Calculate Option Value and Greeks - Compute the theoretical price under the chosen model. - Calculate first-order Greeks: **Delta (Δ), Gamma (Γ), Vega (ν), Theta (Θ), Rho (ρ)**. - For Black-Scholes, use closed-form Greek formulas. For tree/MC models, use finite-difference bumps: - Delta: bump spot ±0.5%; Gamma: second-order from same bumps; Vega: bump vol ±1 vol point; Rho: bump rate ±10 bps. - Compute **implied volatility** if a market price is provided (Newton-Raphson or Brent's method on Black-Scholes). ### 4. Cross-Check and Validate - **Put-call parity:** For Europeans, verify C − P = S·e^(−qT) − K·e^(−rT) within a tolerance of ±0.01. - **Boundary conditions:** Option price ≥ intrinsic value; call ≤ S; put ≤ K·e^(−rT). - **Early exercise premium:** For American options, confirm price ≥ European equivalent. - **Greeks sign checks:** Delta in [0,1] for calls, [−1,0] for puts; gamma ≥ 0; vega ≥ 0; theta typically ≤ 0 for long options. - If two models are run, compare prices and flag divergences > 1%. ### 5. Build Sensitivity Analysis - Generate a **spot vs. vol matrix** showing option price across ±10–20% spot moves and ±5 vol point shifts. - Produce a **time decay profile** showing theta bleed at weekly intervals to expiry. - If relevant, show **dividend sensitivity** — price impact of ±10% change in dividend assumption. ## Output Structure the deliverable as follows: 1. **Summary table** — Option type, spot, strike, expiry, vol, rate, dividend assumption, model used, theoretical price. 2. **Greeks table** — Delta, gamma, vega (per 1 vol point), theta (per day), rho (per 100 bps). 3. **Sensitivity matrix** — Spot × vol grid of prices (and optionally delta). 4. **Model notes** — Which model was used, number of steps/paths, convergence checks, and any assumptions or approximations. 5. **Flags** — Mark any [VERIFY] items, data staleness warnings, or cases where early exercise premium is significant. ## Quality Checks - [ ] Put-call parity holds within tolerance for European options - [ ] All Greeks pass sign and magnitude reasonableness checks - [ ] Binomial tree convergence confirmed (step-doubling test) - [ ] Volatility source clearly labeled (implied vs. historical, tenor, date) - [ ] Risk-free rate tenor matches option expiry; interpolation method noted if used - [ ] Dividend treatment documented (continuous yield vs. discrete schedule) [VERIFY ex-dates] - [ ] Sensitivity tables cover a meaningful range of scenarios - [ ] No stale market data — spot, vol, and rate quotes dated within one business day unless noted