Swaption

Swaption instrument object

Since R2020a

Description

Create and price a Swaption instrument object for one or more Swaption instruments using this workflow:

1. Use fininstrument to create a Swaption instrument object for one or more Swaption instruments.

2. Use finmodel to specify a HullWhite, BlackKarasinski, BlackDermanToy, Black, Normal, SABR, CoxIngersollRoss, or LinearGaussian2F model for the Swaption instrument object.

3. Choose a pricing method.

   • When using a HullWhite, BlackKarasinski, BlackDermanToy, CoxIngersollRoss, Black, Normal, or SABR model, use finpricer for pricing one or more Swaption instruments and specify:

     • A Normal pricer when using a Normal model.

     • A Black pricer when using a Black model.

     • A HullWhite pricer when using a HullWhite model.

     • A SABR pricer when using a SABR model.

     • An IRTree pricer when using a BlackKarasinski, CoxIngersollRoss, or BlackDermanToy model.

   • When using a HullWhite, BlackKarasinski, or LinearGaussian2F model, use finpricer to specify an IRMonteCarlo pricing method for one or more Swaption instruments.

For more information on this workflow, see Get Started with Workflows Using Object-Based Framework for Pricing Financial Instruments.

For more information on the available models and pricing methods for a Swaption instrument, see Choose Instruments, Models, and Pricers.

Creation

Syntax

SwaptionInstrument = fininstrument(InstrumentType,'Strike',strike_value,'ExerciseDate',exercice_date)

SwaptionInstrument = fininstrument(___,Name,Value)

Description

SwaptionInstrument = fininstrument(InstrumentType,'Strike',strike_value,'ExerciseDate',exercice_date) creates a Swaption object for one or more Swaption instruments by specifying InstrumentType and sets the properties for the required name-value pair arguments Strike and ExerciseDate. For more information on a Swaption instrument, see More About.

SwaptionInstrument = fininstrument(___,Name,Value) sets optional properties using additional name-value pairs in addition to the required arguments in the previous syntax. For example, SwaptionInstrument = fininstrument("Swaption",'Strike',0.67,'ExerciseDate',datetime(2019,1,30),'Swap',Swap_obj,'OptionType',"put",'ExerciseStyle',"European",'Name',"swaption_instrument") creates a Swaption put instrument with a strike of 0.67 and an European exercise. You can specify multiple name-value pair arguments.

Input Arguments

InstrumentType — Instrument type

string with value "Swaption" | string array with values of "Swaption" | character vector with value 'Swaption' | cell array of character vectors with values of 'Swaption'

Instrument type, specified as a string with the value of "Swaption", a character vector with the value of 'Swaption', an NINST-by-1 string array with values of "Swaption", or an NINST-by-1 cell array of character vectors with values of 'Swaption'.

Data Types: char | cell | string

Name-Value Arguments

Specify required and optional pairs of arguments as Name1=Value1,...,NameN=ValueN, where Name is the argument name and Value is the corresponding value. Name-value arguments must appear after other arguments, but the order of the pairs does not matter.

Before R2021a, use commas to separate each name and value, and enclose Name in quotes.

Example: SwaptionInstrument = fininstrument("Swaption",'Strike',.67,'ExerciseDate',datetime(2019,1,30),'Swap',Swap_obj,'OptionType',"put",'ExerciseStyle',"European",'Name',"swaption_instrument")

Required Swaption Name-Value Pair Arguments

Strike — Option strike value

scalar nonnegative decimal | vector of nonnegative decimals

Option strike value, specified as the comma-separated pair consisting of 'Strike' and a scalar nonnegative decimal or an NINST-by-1 vector of nonnegative decimals.

Data Types: double

ExerciseDate — Option exercise date

datetime array | string array | date character vector

Option exercise date, specified as the comma-separated pair consisting of 'ExerciseDate' and a scalar or an NINST-by-1 vector using a datetime array, string array,or date character vectors.

Note

For a European option, there is only one ExerciseDate on the option expiry date.

To support existing code, Swaption also accepts serial date numbers as inputs, but they are not recommended.

If you use date character vectors or strings, the format must be recognizable by datetime because the ExerciseDate property is stored as a datetime.

Swap — Underlying Swap object

scalar Swap object | vector of Swap objects

Underlying Swap object, specified as the comma-separated pair consisting of 'Swap' and a scalar Swap object or an NINST-by-1 vector of Swap objects.

Data Types: object

Optional Swaption Name-Value Pair Arguments

OptionType — Option type

"call" (default) | string with values "call" or "put" | string array with values of "call" or "put" | character vector with value 'call' or 'put' | cell array of character vectors with values of 'call' or 'put'

Option type, specified as the comma-separated pair consisting of 'OptionType' and a scalar string or character vector or an NINST-by-1 cell array of character vectors or string array.

Data Types: char | cell | string

ExerciseStyle — Option exercise style

"European" (default) | string with value "European" | string array with values of "European" | character vector with value 'European' | cell array of character vectors with values of "European"

Option exercise style, specified as the comma-separated pair consisting of 'ExerciseStyle' and a scalar string or character vector or an NINST-by-1 cell array of character vectors or string array.

Note

When you specify a Swap instrument as the underlying asset for a Swaption instrument and use a Normal, SABR, Black, or HullWhite pricer, the Swap instrument LegType must be ["fixed","float"] or ["float","fixed"] and the Swaption instrument ExerciseStyle must be "European".

Data Types: string | cell | char

Name — User-defined name for instrument

" " (default) | string | string array | character vector | cell array of character vectors

User-defined name for the instrument, specified as the comma-separated pair consisting of 'Name' and a scalar string or character vector or an NINST-by-1 cell array of character vectors or string array.

Data Types: char | cell | string

Properties

Strike — Option strike value

scalar nonnegative decimal | vector of nonnegative decimals

Option strike value, returned as a scalar nonnegative decimal or an NINST-by-1 vector of nonnegative decimals.

Data Types: double

ExerciseDate — Option exercise date

datetime | vector of datetimes

Option exercise date, returned as a scalar datetime or an NINST-by-1 vector of datetimes.

Data Types: datetime

Swap — Underlying Swap object

scalar Swap object | vector of Swap objects

Swap object, returned as a scalar Swap object or an NINST-by-1 vector of Swap objects.

Data Types: object

OptionType — Option type

"call" (default) | string with value "call" or "put" | string array with values of "call" or "put"

Option type, returned as a scalar string or an NINST-by-1 string array with a value of "call" or "put".

Data Types: string

ExerciseStyle — Option exercise style

"European" (default) | string with value "European" | string array with values of "European"

Option exercise style, returned as a scalar string or an NINST-by-1 string array with a value of "European".

Data Types: string

Name — User-defined name for instrument

" " (default) | string | string array

User-defined name for the instrument, returned as a string or an NINST-by-1 string array.

Data Types: string

Examples

Price Swaption Instrument Using SABR Model and SABR Pricer

This example shows the workflow to price a Swaption instrument when you use a SABR model and a SABR pricing method.

Create ratecurve Object

Create a ratecurve object using ratecurve.

Settle = datetime(2018,9,15);
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: 15-Sep-2018
         InterpMethod: "linear"
    ShortExtrapMethod: "next"
     LongExtrapMethod: "previous"

Create Swap Instrument Object

Use fininstrument to create the underlying Swap instrument object.

Swap = fininstrument("Swap",'Maturity',datetime(2027,3,15),'LegRate',[0 0],'LegType',...
    ["float","fixed"],'Notional',100,'StartDate',datetime(2022,3,15),'Name',"swap_instrument")

Swap = 
  Swap with properties:

                     LegRate: [0 0]
                     LegType: ["float"    "fixed"]
                       Reset: [2 2]
                       Basis: [0 0]
                    Notional: 100
          LatestFloatingRate: [NaN NaN]
                 ResetOffset: [0 0]
    DaycountAdjustedCashFlow: [0 0]
             ProjectionCurve: [0x0 ratecurve]
       BusinessDayConvention: ["actual"    "actual"]
                    Holidays: NaT
                EndMonthRule: [1 1]
                   StartDate: 15-Mar-2022
                    Maturity: 15-Mar-2027
                        Name: "swap_instrument"

Create Swaption Instrument Object

Use fininstrument to create a Swaption instrument object.

Swaption = fininstrument("Swaption",'Strike',0.02,'ExerciseDate',datetime(2022,3,15),'Swap',Swap,'Name',"swaption_option")

Swaption = 
  Swaption with properties:

       OptionType: "call"
    ExerciseStyle: "european"
     ExerciseDate: 15-Mar-2022
           Strike: 0.0200
             Swap: [1x1 fininstrument.Swap]
             Name: "swaption_option"

Create SABR Model Object

Use finmodel to create a SABR model object.

SabrModel = finmodel("SABR",'Alpha',0.032,'Beta',0.04,'Rho',.08,'Nu',0.49,'Shift',0.002)

SabrModel = 
  SABR with properties:

             Alpha: 0.0320
              Beta: 0.0400
               Rho: 0.0800
                Nu: 0.4900
             Shift: 0.0020
    VolatilityType: "black"

Create SABR Pricer Object

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

outPricer = finpricer("analytic",'Model',SabrModel,'DiscountCurve',myRC)

outPricer = 
  SABR with properties:

    DiscountCurve: [1x1 ratecurve]
            Model: [1x1 finmodel.SABR]

Price Swaption Instrument

Use price to compute the price for the Swaption instrument.

Price = price(outPricer,Swaption)

Price = 
10.8558

Price Multiple Swaption Instruments Using SABR Model and SABR Pricer

This example shows the workflow to price multiple Swaption instrument when you use a SABR model and a SABR pricing method.

Create ratecurve Object

Create a ratecurve object using ratecurve.

Settle = datetime(2018,9,15);
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: 15-Sep-2018
         InterpMethod: "linear"
    ShortExtrapMethod: "next"
     LongExtrapMethod: "previous"

Create Swap Instrument Object

Use fininstrument to create the underlying Swap instrument object.

Swap = fininstrument("Swap",'Maturity',datetime(2027,3,15),'LegRate',[0 0],'LegType',...
    ["float","fixed"],'Notional',100,'StartDate',datetime(2022,3,15),'Name',"swap_instrument")

Swap = 
  Swap with properties:

                     LegRate: [0 0]
                     LegType: ["float"    "fixed"]
                       Reset: [2 2]
                       Basis: [0 0]
                    Notional: 100
          LatestFloatingRate: [NaN NaN]
                 ResetOffset: [0 0]
    DaycountAdjustedCashFlow: [0 0]
             ProjectionCurve: [0x0 ratecurve]
       BusinessDayConvention: ["actual"    "actual"]
                    Holidays: NaT
                EndMonthRule: [1 1]
                   StartDate: 15-Mar-2022
                    Maturity: 15-Mar-2027
                        Name: "swap_instrument"

Create Swaption Instrument Object

Use fininstrument to create a Swaption instrument object for three Swaption instruments.

Swaption = fininstrument("Swaption",'Strike',[0.02 ; 0.03 ; 0.04],'ExerciseDate',datetime([2022,3,15 ; 2022,4,15 ; 2022,5,15]),'Swap',Swap,'Name',"swaption_option")

Swaption=3×1 Swaption array with properties:
    OptionType
    ExerciseStyle
    ExerciseDate
    Strike
    Swap
    Name

Create SABR Model Object

Use finmodel to create a SABR model object.

SabrModel = finmodel("SABR",'Alpha',0.032,'Beta',0.04,'Rho',.08,'Nu',0.49,'Shift',0.002)

SabrModel = 
  SABR with properties:

             Alpha: 0.0320
              Beta: 0.0400
               Rho: 0.0800
                Nu: 0.4900
             Shift: 0.0020
    VolatilityType: "black"

Create SABR Pricer Object

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

outPricer = finpricer("analytic",'Model',SabrModel,'DiscountCurve',myRC)

outPricer = 
  SABR with properties:

    DiscountCurve: [1x1 ratecurve]
            Model: [1x1 finmodel.SABR]

Price Swaption Instruments

Use price to compute the prices for the Swaption instruments.

Price = price(outPricer,Swaption)

Price = 3×1

   10.8558
    9.0442
    7.4883

Price Swaption Instrument Using Black Model and Black Pricer

This example shows the workflow to price a Swaption instrument when you use a Black model and a Black pricing method.

Create ratecurve Object

Create a ratecurve object using ratecurve.

Settle = datetime(2018,9,15);
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: 15-Sep-2018
         InterpMethod: "linear"
    ShortExtrapMethod: "next"
     LongExtrapMethod: "previous"

Create Swap Instrument Object

Use fininstrument to create the underlying Swap instrument object.

Swap = fininstrument("Swap",'Maturity',datetime(2027,3,15),'LegRate',[0 0],'LegType',...
    ["float","fixed"],'Notional',100,'StartDate',datetime(2022,3,15),'Name',"swap_instrument")

Swap = 
  Swap with properties:

                     LegRate: [0 0]
                     LegType: ["float"    "fixed"]
                       Reset: [2 2]
                       Basis: [0 0]
                    Notional: 100
          LatestFloatingRate: [NaN NaN]
                 ResetOffset: [0 0]
    DaycountAdjustedCashFlow: [0 0]
             ProjectionCurve: [0x0 ratecurve]
       BusinessDayConvention: ["actual"    "actual"]
                    Holidays: NaT
                EndMonthRule: [1 1]
                   StartDate: 15-Mar-2022
                    Maturity: 15-Mar-2027
                        Name: "swap_instrument"

Create Swaption Instrument Object

Use fininstrument to create a Swaption instrument object.

Swaption = fininstrument("Swaption",'Strike',0.02,'ExerciseDate',datetime(2022,3,15),'Swap',Swap,'Name',"swaption_option")

Swaption = 
  Swaption with properties:

       OptionType: "call"
    ExerciseStyle: "european"
     ExerciseDate: 15-Mar-2022
           Strike: 0.0200
             Swap: [1x1 fininstrument.Swap]
             Name: "swaption_option"

Create Black Model Object

Use finmodel to create a Black model object.

BlackModel = finmodel("Black",'Volatility',0.032,'Shift',0.002)

BlackModel = 
  Black with properties:

    Volatility: 0.0320
         Shift: 0.0020

Create Black Pricer Object

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

outPricer = finpricer("analytic",'Model',BlackModel,'DiscountCurve',myRC)

outPricer = 
  Black with properties:

            Model: [1x1 finmodel.Black]
    DiscountCurve: [1x1 ratecurve]

Price Swaption Instrument

Use price to compute the price for the Swaption instrument.

Price = price(outPricer,Swaption)

Price = 
3.3116

Price Swaption Instrument Using HullWhite Model and IRTree Pricer

This example shows the workflow to price a Swaption instrument when you use a HullWhite model and an IRTree pricing method.

Create ratecurve Object

Create a ratecurve object using ratecurve.

Settle = datetime(2018,9,15);
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: 15-Sep-2018
         InterpMethod: "linear"
    ShortExtrapMethod: "next"
     LongExtrapMethod: "previous"

Create Swap Instrument Object

Use fininstrument to create the underlying Swap instrument object.

Swap = fininstrument("Swap",'Maturity',datetime(2027,3,15),'LegRate',[0 0],'LegType',...
    ["float","fixed"],'Notional',100,'StartDate',datetime(2022,3,15),'Name',"swap_instrument")

Swap = 
  Swap with properties:

                     LegRate: [0 0]
                     LegType: ["float"    "fixed"]
                       Reset: [2 2]
                       Basis: [0 0]
                    Notional: 100
          LatestFloatingRate: [NaN NaN]
                 ResetOffset: [0 0]
    DaycountAdjustedCashFlow: [0 0]
             ProjectionCurve: [0x0 ratecurve]
       BusinessDayConvention: ["actual"    "actual"]
                    Holidays: NaT
                EndMonthRule: [1 1]
                   StartDate: 15-Mar-2022
                    Maturity: 15-Mar-2027
                        Name: "swap_instrument"

Create Swaption Instrument Object

Use fininstrument to create a Swaption instrument object.

Swaption = fininstrument("Swaption",'Strike',0.02,'ExerciseDate',datetime(2022,3,15),'Swap',Swap,'Name',"swaption_option")

Swaption = 
  Swaption with properties:

       OptionType: "call"
    ExerciseStyle: "european"
     ExerciseDate: 15-Mar-2022
           Strike: 0.0200
             Swap: [1x1 fininstrument.Swap]
             Name: "swaption_option"

Create HullWhite Model Object

Use finmodel to create a HullWhite model object.

HullWhiteModel = finmodel("HullWhite",'Alpha',0.032,'Sigma',0.04)

HullWhiteModel = 
  HullWhite with properties:

    Alpha: 0.0320
    Sigma: 0.0400

Create IRTree Pricer Object

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

outPricer = finpricer("IRTree",'Model',HullWhiteModel,'DiscountCurve',myRC,'TreeDates',ZeroDates)

outPricer = 
  HWBKTree with properties:

             Tree: [1x1 struct]
        TreeDates: [10x1 datetime]
            Model: [1x1 finmodel.HullWhite]
    DiscountCurve: [1x1 ratecurve]

Price Swaption Instrument

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

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

Price = 
14.6783

outPR = 
  priceresult with properties:

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

outPR.Results

ans=1×4 table
    Price     Delta      Gamma     Vega 
    ______    ______    _______    _____

    14.678    142.29    -2263.2    321.8

Price Swaption Instrument Using LinearGaussian2F Model and IRMonteCarlo Pricer

This example shows the workflow to price a Swaption instrument when using a LinearGaussian2F model and an IRMonteCarlo pricing method.

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 Swap Instrument Object

Use fininstrument to create the underlying Swap instrument object.

Swap = fininstrument("Swap",'Maturity',datetime(2022,1,1),'LegRate',[0.05,0.04],'Name',"swap_instrument")

Swap = 
  Swap with properties:

                     LegRate: [0.0500 0.0400]
                     LegType: ["fixed"    "float"]
                       Reset: [2 2]
                       Basis: [0 0]
                    Notional: 100
          LatestFloatingRate: [NaN NaN]
                 ResetOffset: [0 0]
    DaycountAdjustedCashFlow: [0 0]
             ProjectionCurve: [0x0 ratecurve]
       BusinessDayConvention: ["actual"    "actual"]
                    Holidays: NaT
                EndMonthRule: [1 1]
                   StartDate: NaT
                    Maturity: 01-Jan-2022
                        Name: "swap_instrument"

Create Swaption Instrument Object

Use fininstrument to create a Swaption instrument object.

Swaption = fininstrument("Swaption",'Strike',0.02,'ExerciseDate',datetime(2021,7,1),'Swap',Swap,'Name',"swaption_option")

Swaption = 
  Swaption with properties:

       OptionType: "call"
    ExerciseStyle: "european"
     ExerciseDate: 01-Jul-2021
           Strike: 0.0200
             Swap: [1x1 fininstrument.Swap]
             Name: "swaption_option"

Create LinearGaussian2F Model Object

Use finmodel to create a LinearGaussian2F model object.

LinearGaussian2FModel = finmodel("LinearGaussian2F",'Alpha1',0.07,'Sigma1',0.01,'Alpha2',0.5,'Sigma2',0.006,'Correlation',-0.7)

LinearGaussian2FModel = 
  LinearGaussian2F with properties:

         Alpha1: 0.0700
         Sigma1: 0.0100
         Alpha2: 0.5000
         Sigma2: 0.0060
    Correlation: -0.7000

Create IRMonteCarlo Pricer Object

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

simDates = datetime(2019,7,1)+calmonths(0:6:30);
outPricer = finpricer("IRMonteCarlo",'Model',LinearGaussian2FModel,'DiscountCurve',myRC,'SimulationDates',simDates)

outPricer = 
  G2PPMonteCarlo with properties:

          NumTrials: 1000
      RandomNumbers: []
      DiscountCurve: [1x1 ratecurve]
    SimulationDates: [01-Jul-2019    01-Jan-2020    01-Jul-2020    01-Jan-2021    01-Jul-2021    01-Jan-2022]
              Model: [1x1 finmodel.LinearGaussian2F]

Price Swaption Instrument

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

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

Price = 
1.5065

outPR = 
  priceresult with properties:

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

outPR.Results

ans=1×4 table
    Price     Delta     Gamma           Vega       
    ______    ______    ______    _________________

    1.5065    44.746    -257.2    1.6729    -2.0015

Price Swaption Instrument Using CoxIngersollRoss Model and IRTree Pricer

This example shows the workflow to price a Swaption instrument when you use a CoxIngersollRoss model and an IRTree pricing method.

Create ratecurve Object

Create a ratecurve object using ratecurve.

Times= [calyears([1 2 3 4 ])]';
Settle = datetime(2023,1,1);
ZRates = [0.035; 0.042147; 0.047345; 0.052707]';
ZDates = Settle + Times;
Compounding = -1; 
Basis = 1;
ZeroCurve = ratecurve("zero",Settle,ZDates,ZRates,Compounding = Compounding, Basis = Basis);

Create Swap Instrument Object

Use fininstrument to first create a Swap instrument object.

Maturity = datetime(2027,1,1); 
LegType = ["fixed","float"];
LegRate = [0.06 0.0020];
Reset = 1;
Swap = fininstrument("Swap",Maturity=Maturity,LegRate=LegRate,LegType=LegType,Reset=[Reset Reset],Name="Swap_inst")

Swap = 
  Swap with properties:

                     LegRate: [0.0600 0.0020]
                     LegType: ["fixed"    "float"]
                       Reset: [1 1]
                       Basis: [0 0]
                    Notional: 100
          LatestFloatingRate: [NaN NaN]
                 ResetOffset: [0 0]
    DaycountAdjustedCashFlow: [0 0]
             ProjectionCurve: [0x0 ratecurve]
       BusinessDayConvention: ["actual"    "actual"]
                    Holidays: NaT
                EndMonthRule: [1 1]
                   StartDate: NaT
                    Maturity: 01-Jan-2027
                        Name: "Swap_inst"

Create Swaption Instrument Object

Use fininstrument to first create a Swaption instrument object.

Maturity = datetime(2027,1,1); 
ExerciseDate = datetime(2026,1,1);
Strike = parswaprate(Swap,ZeroCurve);
OptionType = 'call';

Swaption = fininstrument("Swaption",ExerciseDate=ExerciseDate,Strike=Strike,Swap=Swap,OptionType=OptionType,Name="Swaption_inst")

Swaption = 
  Swaption with properties:

       OptionType: "call"
    ExerciseStyle: "european"
     ExerciseDate: 01-Jan-2026
           Strike: 0.0554
             Swap: [1x1 fininstrument.Swap]
             Name: "Swaption_inst"

Create CoxIngersollRoss Model Object

Then use finmodel to create a CoxIngersollRoss model object.

alpha = 0.03; 
theta = 0.02; 
sigma = 0.1; 
CIRModel = finmodel("CoxIngersollRoss",Sigma=sigma,Alpha=alpha,Theta=theta)

CIRModel = 
  CoxIngersollRoss with properties:

    Sigma: 0.1000
    Alpha: 0.0300
    Theta: 0.0200

Create IRTree Pricer Object

Use finpricer to create an IRTree pricer object for the CoxIngersollRoss model and use the ratecurve object for the 'DiscountCurve' name-value argument.

CIRPricer = finpricer("irtree",Model=CIRModel,DiscountCurve=ZeroCurve,Maturity=ZDates(end),NumPeriods=length(ZDates))

CIRPricer = 
  CIRTree with properties:

             Tree: [1x1 struct]
        TreeDates: [4x1 datetime]
            Model: [1x1 finmodel.CoxIngersollRoss]
    DiscountCurve: [1x1 ratecurve]

Price Swaption Instrument

Use price to compute the price for the Swaption instrument.

[Price,outPR] = price(CIRPricer,Swaption,"all")

Price = 
1.6356

outPR = 
  priceresult with properties:

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

outPR.Results

ans=1×4 table
    Price     Delta      Gamma      Vega 
    ______    ______    _______    ______

    1.6356    54.752    -281.84    5.9963

Calibrate Shifted SABR Model Parameters for Swaption Instrument

Calibrate model parameters for a Swaption instrument when you use a SABR pricing method.

Load Market Data

% Zero curve
ValuationDate = datetime("5-Mar-2016", 'Locale', 'en_US');
ZeroDates = datemnth(ValuationDate,[1 2 3 6 9 12*[1 2 3 4 5 6 7 8 9 10 12]])';
ZeroRates = [-0.33 -0.28 -0.24 -0.12 -0.08 -0.03 0.015 0.028 ...
    0.033 0.042 0.056 0.095 0.194 0.299 0.415 0.525]'/100;
Compounding = 1;
ZeroCurve = ratecurve("zero",ValuationDate,ZeroDates,ZeroRates,'Compounding',Compounding)

ZeroCurve = 
  ratecurve with properties:

                 Type: "zero"
          Compounding: 1
                Basis: 0
                Dates: [16x1 datetime]
                Rates: [16x1 double]
               Settle: 05-Mar-2016
         InterpMethod: "linear"
    ShortExtrapMethod: "next"
     LongExtrapMethod: "previous"

% Define the swaptions
SwaptionSettle = datetime("5-Mar-2016", 'Locale', 'en_US');
SwaptionExerciseDate = datetime("5-Mar-2017", 'Locale', 'en_US');
SwaptionStrikes = (-0.6:0.01:1.6)'/100; % Include negative strikes
SwapMaturity = datetime("5-Mar-2022", 'Locale', 'en_US'); % Maturity of underlying swap
OptSpec = 'call';

Compute Forward Swap Rate by Creating Swap Instrument

Use fininstrument to create a Swap instrument object.

LegRate = [0 0];
Swap = fininstrument("Swap", 'Maturity', SwapMaturity, 'LegRate', LegRate, "LegType",["fixed" "float"],...
    "ProjectionCurve", ZeroCurve, "StartDate", SwaptionExerciseDate)

Swap = 
  Swap with properties:

                     LegRate: [0 0]
                     LegType: ["fixed"    "float"]
                       Reset: [2 2]
                       Basis: [0 0]
                    Notional: 100
          LatestFloatingRate: [NaN NaN]
                 ResetOffset: [0 0]
    DaycountAdjustedCashFlow: [0 0]
             ProjectionCurve: [1x2 ratecurve]
       BusinessDayConvention: ["actual"    "actual"]
                    Holidays: NaT
                EndMonthRule: [1 1]
                   StartDate: 05-Mar-2017
                    Maturity: 05-Mar-2022
                        Name: ""

ForwardValue = parswaprate(Swap,ZeroCurve)

ForwardValue = 
7.3271e-04

Load the Market Implied Volatility Data

The market swaption volatilities are quoted in terms of shifted Black volatilities with a 0.8 percent shift.

StrikeGrid = [-0.5; -0.25; -0.125; 0; 0.125; 0.25; 0.5; 1.0; 1.5]/100;
MarketStrikes = ForwardValue + StrikeGrid;
Shift = 0.008;  % 0.8 percent shift
MarketShiftedBlackVolatilities = [21.1; 15.3; 14.0; 14.6; 16.0; 17.7; 19.8; 23.9; 26.2]/100;
ATMShiftedBlackVolatility = MarketShiftedBlackVolatilities(StrikeGrid==0);

Calibrate Shifted SABR Model Parameters

The Beta parameter is predetermined at 0.5. Use volatilities to compute the implied volatility.

Beta = 0.5;

% Calibrate Alpha, Rho, and Nu
objFun = @(X) MarketShiftedBlackVolatilities - volatilities(finpricer("Analytic", 'Model', ...
    finmodel("SABR", 'Alpha', X(1), 'Beta', Beta, 'Rho', X(2), 'Nu', X(3), 'Shift', Shift), ...
    'DiscountCurve', ZeroCurve), SwaptionExerciseDate, ForwardValue, MarketStrikes);

X = lsqnonlin(objFun, [0.5 0 0.5], [0 -1 0], [Inf 1 Inf]);

Local minimum possible.

lsqnonlin stopped because the final change in the sum of squares relative to 
its initial value is less than the value of the function tolerance.

Alpha = X(1);
Rho = X(2);
Nu = X(3);

Create SABR Model Using the Calibrated Parameters

Use finmodel to create a SABR model object.

SABRModel = finmodel("SABR",'Alpha',Alpha,'Beta',Beta,'Rho',Rho,'Nu',Nu,'Shift',Shift)

SABRModel = 
  SABR with properties:

             Alpha: 0.0135
              Beta: 0.5000
               Rho: 0.4654
                Nu: 0.4957
             Shift: 0.0080
    VolatilityType: "black"

Create SABR Pricer Using Calibrated SABR Model and Compute Volatilities

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

SABRPricer = finpricer("Analytic", 'Model', SABRModel, 'DiscountCurve', ZeroCurve)

SABRPricer = 
  SABR with properties:

    DiscountCurve: [1x1 ratecurve]
            Model: [1x1 finmodel.SABR]

SABRShiftedBlackVolatilities = volatilities(SABRPricer, SwaptionExerciseDate, ForwardValue, SwaptionStrikes)

SABRShiftedBlackVolatilities = 221×1

    0.2978
    0.2911
    0.2848
    0.2787
    0.2729
    0.2673
    0.2620
    0.2568
    0.2518
    0.2470
      ⋮

figure;
plot(MarketStrikes, MarketShiftedBlackVolatilities, 'o', ...
    SwaptionStrikes, SABRShiftedBlackVolatilities);
h = gca;
line([0,0],[min(h.YLim),max(h.YLim)],'LineStyle','--');
ylim([0.13 0.31])
xlabel('Strike');
legend('Market quotes','Shifted SABR', 'location', 'southeast');
title (['Shifted Black Volatility (',num2str(Shift*100),' percent shift)']);

Price Swaption Instruments Using Calibrated SABR Model and SABR Pricer

% Create swaption instruments
NumInst = length(SwaptionStrikes);
Swaptions(NumInst, 1) = fininstrument("Swaption", ...
    'Strike', SwaptionStrikes(1), 'ExerciseDate', SwaptionExerciseDate(1), 'Swap', Swap);
for k = 1:NumInst
    Swaptions(k) = fininstrument("Swaption", 'Strike', SwaptionStrikes(k), ...
        'ExerciseDate', SwaptionExerciseDate, 'Swap', Swap, 'OptionType', OptSpec);
end
Swaptions

Swaptions=221×1 Swaption array with properties:
    OptionType
    ExerciseStyle
    ExerciseDate
    Strike
    Swap
    Name
      ⋮

% Price swaptions using the SABR pricer
SwaptionPrices = price(SABRPricer,Swaptions);

figure;
plot(SwaptionStrikes, SwaptionPrices, 'r');
h = gca;
line([0,0],[min(h.YLim),max(h.YLim)],'LineStyle','--');
xlabel('Strike');
title ('Swaption Price');

More About

Call Swaption

A call swaption or receiver swaption allows the option buyer to enter into an interest-rate swap in which the buyer of the call swaption option pays the floating-rate payments and receives the fixed-rate payments.

The call swaption is exercised if the holder decides to enter into a swap agreement. The swap typically involves the exchange of fixed-rate payments and floating-rate payments based on a specified notional amount. A call swaption has an expiration date, which represents the last date on which the holder can exercise the option. After the expiration date, the option becomes void. The strike rate, also known as the exercise rate, is the fixed rate at which the holder will receive payments in the underlying swap if they choose to exercise the call swaption. The holder of a call swaption typically pays a premium to the counterparty or seller of the swaption in exchange for the right to exercise the option.

Put Swaption

A put swaption or payer swaption allows the option buyer to enter into an interest-rate swap in which the buyer of the put swaption pays the fixed-rate payments and received the floating-rate payments.

The put swaption is exercised if the holder decides to enter into a swap agreement. The swap typically involves the exchange of fixed-rate payments and floating-rate payments based on a specified notional amount. A put swaption has an expiration date, which represents the last date on which the holder can exercise the option. After the expiration date, the option becomes void. The strike rate, also known as the exercise rate, is the fixed rate at which the holder will pay payments in the underlying swap if they choose to exercise the put swaption. The holder of a put swaption typically pays a premium to the counterparty or seller of the swaption in exchange for the right to exercise the option.

Version History

Introduced in R2020a

R2023b: Support for Pricing Swaption Instruments Using CoxIngersollRoss Model and IRTree Pricer

You can price Swaption instruments using a CoxIngersollRoss model object and an IRTree pricing method.

R2022b: Serial date numbers not recommended

Although Swaption supports serial date numbers, datetime values are recommended instead. The datetime data type provides flexible date and time formats, storage out to nanosecond precision, and properties to account for time zones and daylight saving time.

To convert serial date numbers or text to datetime values, use the datetime function. For example:

t = datetime(738427.656845093,"ConvertFrom","datenum");
y = year(t)

y =

        2021

There are no plans to remove support for serial date number inputs.