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price

Compute price for interest-rate instrument with IRMonteCarlo pricer

Since R2021b

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Syntax

[Price,PriceResult] = price(inpPricer,inpInstrument)
[Price,PriceResult] = price(___,inpSensitivity)

Description

[Price,PriceResult] = price(inpPricer,inpInstrument) computes the interest-rate instrument price and related pricing information based on the pricing object inpPricer and the instrument object inpInstrument.

example

[Price,PriceResult] = price(___,inpSensitivity) adds an optional argument to specify sensitivities. Use this syntax with the input argument combination in the previous syntax.

example

Examples

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Open Live Script

This example shows the workflow to price a FixedBond instrument when using a HullWhite model and an IRMonteCarlo pricing method.

Create FixedBond Instrument Object

Use fininstrument to create a FixedBond instrument object. 

FixB = fininstrument("FixedBond","Maturity",datetime(2022,9,15),"CouponRate",0.05,'Name',"fixed_bond")
FixB = 
  FixedBond with properties:

                  CouponRate: 0.0500
                      Period: 2
                       Basis: 0
                EndMonthRule: 1
                   Principal: 100
    DaycountAdjustedCashFlow: 0
       BusinessDayConvention: "actual"
                    Holidays: NaT
                   IssueDate: NaT
             FirstCouponDate: NaT
              LastCouponDate: NaT
                   StartDate: NaT
                    Maturity: 15-Sep-2022
                        Name: "fixed_bond"

Create HullWhite Model Object

Use finmodel to create a HullWhite model object. 

HullWhiteModel = finmodel("HullWhite",'Alpha',0.32,'Sigma',0.49)
HullWhiteModel = 
  HullWhite with properties:

    Alpha: 0.3200
    Sigma: 0.4900

Create ratecurve Object

Create a ratecurve object using ratecurve. 

Settle = datetime(2019,1,1);
Type = 'zero';
ZeroTimes = [calmonths(6) calyears([1 2 3 4 5 7 10 20 30])]';
ZeroRates = [0.0052 0.0055 0.0061 0.0073 0.0094 0.0119 0.0168 0.0222 0.0293 0.0307]';
ZeroDates = Settle + ZeroTimes;
 
myRC = ratecurve('zero',Settle,ZeroDates,ZeroRates)
myRC = 
  ratecurve with properties:

                 Type: "zero"
          Compounding: -1
                Basis: 0
                Dates: [10x1 datetime]
                Rates: [10x1 double]
               Settle: 01-Jan-2019
         InterpMethod: "linear"
    ShortExtrapMethod: "next"
     LongExtrapMethod: "previous"

Create IRMonteCarlo Pricer Object

Use finpricer to create an IRMonteCarlo pricer object and use the ratecurve object for the 'DiscountCurve' name-value pair argument.

outPricer = finpricer("IRMonteCarlo",'Model',HullWhiteModel,'DiscountCurve',myRC,'SimulationDates',ZeroDates)
outPricer = 
  HWMonteCarlo with properties:

          NumTrials: 1000
      RandomNumbers: []
      DiscountCurve: [1x1 ratecurve]
    SimulationDates: [01-Jul-2019    01-Jan-2020    01-Jan-2021    01-Jan-2022    01-Jan-2023    01-Jan-2024    01-Jan-2026    01-Jan-2029    01-Jan-2039    01-Jan-2049]
              Model: [1x1 finmodel.HullWhite]

Price FixedBond Instrument

Use price to compute the price and sensitivities for the FixedBond instrument.

[Price,outPR] = price(outPricer,FixB,["all"])
Price = 
115.0303

outPR = 
  priceresult with properties:

       Results: [1x4 table]
    PricerData: [1x1 struct]


outPR.Results
ans=1×4 table
    Price      Delta     Gamma     Vega
    ______    _______    ______    ____

    115.03    -397.13    1430.4     0

Input Arguments

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Pricer object, specified as a previously created IRMonteCarlo pricer object. Create the pricer object using finpricer.

Data Types: object

Instrument object, specified as scalar or a vector of previously created instrument objects. Create the instrument objects using fininstrument. The following instrument objects are supported:

Data Types: object

(Optional) List of sensitivities to compute, specified as an NOUT-by-1 or 1-by-NOUT cell array of character vectors or string array.

The supported sensitivities depend on the pricing method.

inpInstrumentSupported Sensitivities
Cap{'delta','gamma','vega','price'} ('vega' not supported when using SABRBraceGatarekMusiela model with the IRMonteCarlo pricer.)
Floor{'delta','gamma','vega','price'} ('vega' not supported when using SABRBraceGatarekMusiela model with the IRMonteCarlo pricer.)
Swap{'delta','gamma','vega','price'}
Swaption{'delta','gamma','vega','price'}
FixedBond{'delta','gamma','vega','price'} ('vega' not supported when using SABRBraceGatarekMusiela model with the IRMonteCarlo pricer.)
OptionEmbeddedFixedBond{'delta','gamma','vega','price'} ('vega' not supported when using SABRBraceGatarekMusiela model with the IRMonteCarlo pricer.)
FixedBondOption{'delta','gamma','vega','price'} ('vega' not supported when using SABRBraceGatarekMusiela model with the IRMonteCarlo pricer.)
FloatBond{'delta','gamma','vega','price'} ('vega' not supported when using SABRBraceGatarekMusiela model with the IRMonteCarlo pricer.)
FloatBondOption{'delta','gamma','vega','price'} ('vega' not supported when using SABRBraceGatarekMusiela model with the IRMonteCarlo pricer.)
OptionEmbeddedFloatBond{'delta','gamma','vega','price'} ('vega' not supported when using SABRBraceGatarekMusiela model with the IRMonteCarlo pricer.)

inpSensitivity = 'All' or inpSensitivity = "All" specifies that all sensitivities for the pricing method are returned. This is the same as specifying inpSensitivity to include each sensitivity.

Example: inpSensitivity = ["delta","gamma","vega","price"]

Data Types: cell | string

Output Arguments

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Instrument price, returned as a numeric.

Price result, returned as a PriceResult object. The object has the following fields:

  • PriceResult.Results — Table of results that includes sensitivities (if you specify inpSensitivity)

  • PriceResult.PricerData — Structure for pricer data

More About

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Delta

A delta sensitivity measures the rate at which the price of an option is expected to change relative to a $1 change in the price of the underlying asset.

Delta is not a static measure; it changes as the price of the underlying asset changes (a concept known as gamma sensitivity), and as time passes. Options that are near the money or have longer until expiration are more sensitive to changes in delta.

Gamma

A gamma sensitivity measures the rate of change of an option's delta in response to a change in the price of the underlying asset.

In other words, while delta tells you how much the price of an option might move, gamma tells you how fast the option's delta itself will change as the price of the underlying asset moves. This is important because this helps you understand the convexity of an option's value in relation to the underlying asset's price.

Vega

A vega sensitivity measures the sensitivity of an option's price to changes in the volatility of the underlying asset.

Vega represents the amount by which the price of an option would be expected to change for a 1% change in the implied volatility of the underlying asset. Vega is expressed as the amount of money per underlying share that the option's value will gain or lose as volatility rises or falls.

Version History

Introduced in R2021b

See Also

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