Price Financial Instruments in MATLAB
SkillCommerce & financePrice financial instruments in MATLAB using the Financial Instruments Toolbox. Route to the appropriate numerical method reference based on the user's request: Monte Carlo simulation (AssetMonteCarlo, IRMonteCarlo, RoughVolMonteCarlo), FFT / Numerical Integration (Vanilla European options), or Interest-Rate Trees (option-embedded bonds with IRTree). Use when the user asks to price financial instruments or compute Greeks using any of these methods. Use one of the following models depending on the pricing method and instrument: Black-Scholes, Bachelier, Heston, Bates, Merton, Hull-White, Black-Karasinski, Black-Derman-Toy, Cox-Ingersoll-Ross, Linear Gaussian 2 Factor (G2PP), Brace-Gatarek-Musiela (BGM), SABR-BGM, RoughBergomi, RoughHeston.
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What this skill tells your AI
The instructions your AI receives, as published by matlab/matlab-agentic-toolkit in skills-catalog/computational-finance/matlab-price-instrument/SKILL.md and read by ahel’s review.
Price financial instruments in MATLAB using the Financial Instruments Toolbox. Route to the correct numerical pricing method based on the user's request, then follow the method-specific reference for implementation details.
When to Use
- User asks to price options, bonds, swaps, or derivatives in MATLAB
- User asks for Greeks/sensitivities (delta, vega, gamma, theta, rho, lambda)
- User mentions finpricer, fininstrument, finmodel, or ratecurve
- User asks about Monte Carlo, tree / lattice, or FFT (Fast Fourier Transform) / FRFT (Fractional FFT) pricing
- User wants to compare pricing methods for the same instrument
When NOT to Use
- User is working with a non-MATLAB environment
- User wants to build a custom instrument with a novel payoff function
- User explicitly asks for a from-scratch implementation without the Financial Instruments Toolbox
Method Routing
Identify the pricing method from the user's request and read the corresponding reference:
| Method | Reference | When to Use |
|---|---|---|
| Monte Carlo (MC) | references/monte-carlo.md | Simulation-based pricing: path-dependent options, exotic options, Interest Rate (IR) derivatives via MC, rough volatility |
| FFT / FRFT / Numerical Integration | references/ni-fft.md | Fast pricing: European vanilla options under Heston/Bates/Merton via characteristic functions |
| Interest Rate Trees | references/embedded-bond-tree.md | Callable/puttable fixed-rate bonds with Hull-White (HW), Black-Karasinski (BK), Black-Derman-Toy (BDT), Cox-Ingersoll-Ross (CIR) tree models |
Routing Rules
Read exactly one reference (and any relevant sub-references) that best matches based on these rules:
-
User mentions a specific pricer:
AssetMonteCarlo,RoughVolMonteCarlo,IRMonteCarlo->references/monte-carlo.mdFFT,NumericalIntegration->references/ni-fft.mdIRTree->references/embedded-bond-tree.md
-
User mentions a specific numerical method and associated concepts:
- Monte Carlo, simulation, NumTrials, SimulationDates ->
references/monte-carlo.md - FFT, FRFT, characteristic function, CharacteristicFcnStep, LogStrikeStep ->
references/ni-fft.md - Interest-rate tree, TreeDates, exercise probability ->
references/embedded-bond-tree.md
- Monte Carlo, simulation, NumTrials, SimulationDates ->
-
User mentions instrument type without a method:
- Path-dependent options or other exotic options (Asian, Barrier, Lookback, Cliquet, Touch, Spread, Binary) ->
references/monte-carlo.md - European vanilla options under stochastic vol/jump models ->
references/ni-fft.md - Callable/puttable fixed-rate bonds ->
references/embedded-bond-tree.md - IR derivatives (caps, floors, swaptions, swaps) ->
references/monte-carlo.md
- Path-dependent options or other exotic options (Asian, Barrier, Lookback, Cliquet, Touch, Spread, Binary) ->
-
User mentions model name without a method:
- Heston, Bates, Merton + European vanilla ->
references/ni-fft.md - Heston, Bates, Merton + exotic/path-dependent ->
references/monte-carlo.md - Hull-White, Black-Karasinski, BDT, CIR + callable/puttable bond ->
references/embedded-bond-tree.md - Hull-White, BK, Linear Gaussian 2 Factor (G2PP), Brace-Gatarek-Musiela (BGM), SABR-BGM + caps/floors/swaptions ->
references/monte-carlo.md - Rough volatility (RoughBergomi, RoughHeston) ->
references/monte-carlo.md
- Heston, Bates, Merton + European vanilla ->
-
Ambiguous:
- When asked to price European vanilla options without specifying pricing method (e.g., "price European call options with Heston in MATLAB"), default to
references/ni-fft.md(faster, more accurate for European vanilla) - If user needs path simulation in addition to price and sensitivities, use
references/monte-carlo.md - If user requests exercise probabilities at each time step for option embedded bonds, use
references/embedded-bond-tree.md
- When asked to price European vanilla options without specifying pricing method (e.g., "price European call options with Heston in MATLAB"), default to
Shared Conventions
All three methods share these conventions:
- Always prefer to use
finpricer/fininstrument/finmodel/ratecurveobjects (modern OO API) over legacy functions - Never use legacy functions unless the user explicitly names them, or the reference suggests them for specific use cases
- Use name-value pairs with string keys:
"DiscountCurve", not positional arguments - Parameter names are case-insensitive but write them in MixedCase for clarity
- Always use
datetimefor dates (notdatenum) - Do not use
priceas a variable name — it shadows thepricefunction; preferp, or capitalizedPrice - Request two outputs from
price()when Greeks or tree data are needed:[p, pr] = price(...)
Common Mistakes (Cross-Method)
Best practice: Check MATLAB documentation (doc <functionName>, or help <functionName>, etc.) via the MATLAB MCP server before writing code.
| Mistake | Correct |
|---|---|
finpricer("MonteCarlo", ...) | finpricer("AssetMonteCarlo", ...) or finpricer("IRMonteCarlo", ...) |
finpricer("HWMonteCarlo", ...) | finpricer("IRMonteCarlo", ...) with a HullWhite model |
| Mixing pricer families (e.g., FFT pricer for Asian option) | FFT/NI only works for European vanilla; use AssetMonteCarlo for exotics |
Using datenum | Always use datetime |
| Forgetting second output for Greeks | [p, pr] = price(pricer, inst, "delta") — Greeks are in pr.Results |
discount(rc, dates) | discountfactors(rc, dates) — ratecurve uses discountfactors(), not discount() |
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