Note: This page has been translated by MathWorks. Please click here

To view all translated materials including this page, select Japan from the country navigator on the bottom of this page.

To view all translated materials including this page, select Japan from the country navigator on the bottom of this page.

**MathWorks Machine Translation**

The automated translation of this page is provided by a general purpose third party translator tool.

MathWorks does not warrant, and disclaims all liability for, the accuracy, suitability, or fitness for purpose of the translation.

Price swap instrument from Black-Derman-Toy interest-rate tree

```
[Price,PriceTree,CFTree,SwapRate]
= swapbybdt(BDTTree,LegRate,Settle,Maturity)
```

```
[Price,PriceTree,CFTree,SwapRate]
= swapbybdt(___,Name,Value)
```

Price an interest-rate swap with a fixed receiving leg and a floating paying leg. Payments are made once a year, and the notional principal amount is $100. The values for the remaining arguments are:

Coupon rate for fixed leg: 0.15 (15%)

Spread for floating leg: 10 basis points

Swap settlement date: Jan. 01, 2000

Swap maturity date: Jan. 01, 2003

Based on the information above, set the required arguments and build the `LegRate`

, `LegType`

, and `LegReset`

matrices:

Settle = '01-Jan-2000'; Maturity = '01-Jan-2003'; Basis = 0; Principal = 100; LegRate = [0.15 10]; % [CouponRate Spread] LegType = [1 0]; % [Fixed Float] LegReset = [1 1]; % Payments once per year

Price the swap using the `BDTTree`

included in the MAT-file `deriv.mat`

. `BDTTree`

contains the time and forward-rate information needed to price the instrument.

`load deriv.mat;`

Use `swapbybdt`

to compute the price of the swap.

Price = swapbybdt(BDTTree, LegRate, Settle, Maturity,... LegReset, Basis, Principal, LegType)

Price = 7.4222

Using the previous data, calculate the swap rate, the coupon rate for the fixed leg, such that the swap price at time = 0 is zero.

LegRate = [NaN 20]; [Price, PriceTree, CFTree, SwapRate] = swapbybdt(BDTTree,... LegRate, Settle, Maturity, LegReset, Basis, Principal, LegType)

Price = -1.4211e-14

`PriceTree = `*struct with fields:*
FinObj: 'BDTPriceTree'
tObs: [0 1 2 3 4]
PTree: {1x5 cell}

`CFTree = `*struct with fields:*
FinObj: 'BDTCFTree'
tObs: [0 1 2 3 4]
CFTree: {[NaN] [NaN NaN] [NaN NaN NaN] [NaN NaN NaN NaN] [1x4 double]}

SwapRate = 0.1205

Price an amortizing swap using the `Principal`

input argument to define the amortization schedule.

Create the `RateSpec`

.

Rates = 0.035; ValuationDate = '1-Jan-2011'; StartDates = ValuationDate; EndDates = '1-Jan-2017'; Compounding = 1; RateSpec = intenvset('ValuationDate', ValuationDate,'StartDates', StartDates,... 'EndDates', EndDates,'Rates', Rates, 'Compounding', Compounding)

`RateSpec = `*struct with fields:*
FinObj: 'RateSpec'
Compounding: 1
Disc: 0.8135
Rates: 0.0350
EndTimes: 6
StartTimes: 0
EndDates: 736696
StartDates: 734504
ValuationDate: 734504
Basis: 0
EndMonthRule: 1

Create the swap instrument using the following data:

Settle ='1-Jan-2011'; Maturity = '1-Jan-2017'; Period = 1; LegRate = [0.04 10];

Define the swap amortizing schedule.

Principal ={{'1-Jan-2013' 100;'1-Jan-2014' 80;'1-Jan-2015' 60;'1-Jan-2016' 40; '1-Jan-2017' 20}};

Build the BDT tree and assume volatility is 10%.

MatDates = {'1-Jan-2012'; '1-Jan-2013';'1-Jan-2014';'1-Jan-2015';'1-Jan-2016';'1-Jan-2017'}; BDTTimeSpec = bdttimespec(ValuationDate, MatDates); Volatility = 0.10; BDTVolSpec = bdtvolspec(ValuationDate, MatDates, Volatility*ones(1,length(MatDates))'); BDTT = bdttree(BDTVolSpec, RateSpec, BDTTimeSpec);

Compute the price of the amortizing swap.

`Price = swapbybdt(BDTT, LegRate, Settle, Maturity, 'Principal' , Principal)`

Price = 1.4574

Price a forward swap using the `StartDate`

input argument to define the future starting date of the swap.

Create the `RateSpec`

.

Rates = 0.0325; ValuationDate = '1-Jan-2012'; StartDates = ValuationDate; EndDates = '1-Jan-2018'; Compounding = 1; RateSpec = intenvset('ValuationDate', ValuationDate,'StartDates', StartDates,... 'EndDates', EndDates,'Rates', Rates, 'Compounding', Compounding)

`RateSpec = `*struct with fields:*
FinObj: 'RateSpec'
Compounding: 1
Disc: 0.8254
Rates: 0.0325
EndTimes: 6
StartTimes: 0
EndDates: 737061
StartDates: 734869
ValuationDate: 734869
Basis: 0
EndMonthRule: 1

Build the tree with a volatility of 10%.

MatDates = {'1-Jan-2013'; '1-Jan-2014';'1-Jan-2015';'1-Jan-2016';'1-Jan-2017';'1-Jan-2018'}; BDTTimeSpec = bdttimespec(ValuationDate, MatDates); Volatility = 0.10; BDTVolSpec = bdtvolspec(ValuationDate, MatDates, Volatility*ones(1,length(MatDates))'); BDTT = bdttree(BDTVolSpec, RateSpec, BDTTimeSpec);

Compute the price of a forward swap that starts in two years (Jan 1, 2014) and matures in three years with a forward swap rate of 3.85%.

Settle ='1-Jan-2012'; Maturity = '1-Jan-2017'; StartDate = '1-Jan-2014'; LegRate = [0.0385 10]; Price = swapbybdt(BDTT, LegRate, Settle, Maturity, 'StartDate', StartDate)

Price = 1.3203

Using the previous data, compute the forward swap rate, the coupon rate for the fixed leg, such that the forward swap price at time = 0 is zero.

```
LegRate = [NaN 10];
[Price, ~,~, SwapRate] = swapbybdt(BDTT, LegRate, Settle, Maturity, 'StartDate', StartDate)
```

Price = -4.5191e-12

SwapRate = 0.0335

`BDTTree`

— Interest-rate structurestructure

Interest-rate tree structure, created by `bdttree`

**Data Types: **`struct`

`LegRate`

— Leg ratematrix

Leg rate, specified as a `NINST`

-by-`2`

matrix,
with each row defined as one of the following:

`[CouponRate Spread]`

(fixed-float)`[Spread CouponRate]`

(float-fixed)`[CouponRate CouponRate]`

(fixed-fixed)`[Spread Spread]`

(float-float)

`CouponRate`

is the decimal annual rate.
`Spread`

is the number of basis points over the reference rate. The
first column represents the receiving leg, while the second column represents the
paying leg.

**Data Types: **`double`

`Settle`

— Settlement dateserial date number | character vector

Settlement date, specified either as a scalar or `NINST`

-by-`1`

vector
of serial date numbers or date character vectors.

The `Settle`

date for every swap is set to
the `ValuationDate`

of the BDT Tree. The swap argument `Settle`

is
ignored.

**Data Types: **`char`

| `double`

`Maturity`

— Maturity dateserial date number | character vector

Maturity date, specified as a `NINST`

-by-`1`

vector
of serial date numbers or date character vectors representing the
maturity date for each swap.

**Data Types: **`char`

| `double`

Specify optional
comma-separated pairs of `Name,Value`

arguments. `Name`

is
the argument name and `Value`

is the corresponding value.
`Name`

must appear inside single quotes (`' '`

). You can
specify several name and value pair arguments in any order as
`Name1,Value1,...,NameN,ValueN`

.

`[Price,PriceTree,CFTree,SwapRate] = swapbybdt(BDTTree,LegRate,Settle,Maturity,LegReset,Basis,Principal,LegType)`

`'LegReset'`

— Reset frequency per year for each swap`[1 1]`

(default) | vectorReset frequency per year for each swap, specified as `NINST`

-by-`2`

vector.

**Data Types: **`double`

`'Basis'`

— Day-count basis representing the basis for each leg`0`

(actual/actual) (default) | integer from `0`

to `13`

Day-count basis representing the basis for each leg. `NINST`

-by-`1`

array
(or `NINST`

-by-`2`

if `Basis`

is
different for each leg).

0 = actual/actual

1 = 30/360 (SIA)

2 = actual/360

3 = actual/365

4 = 30/360 (PSA)

5 = 30/360 (ISDA)

6 = 30/360 (European)

7 = actual/365 (Japanese)

8 = actual/actual (ICMA)

9 = actual/360 (ICMA)

10 = actual/365 (ICMA)

11 = 30/360E (ICMA)

12 = actual/365 (ISDA)

13 = BUS/252

For more information, see **basis**.

**Data Types: **`double`

`'Principal'`

— Notional principal amounts or principal value schedules`100`

(default) | vector or cell arrayNotional principal amounts or principal value schedules, specified as a vector or cell array.

`Principal`

accepts a `NINST`

-by-`1`

vector
or `NINST`

-by-`1`

cell array (or `NINST`

-by-`2`

if `Principal`

is
different for each leg) of the notional principal amounts or principal
value schedules. For schedules, each element of the cell array is
a `NumDates`

-by-`2`

array where
the first column is dates and the second column is its associated
notional principal value. The date indicates the last day that the
principal value is valid.

**Data Types: **`cell`

| `double`

`'LegType'`

— Leg type`[1 0]`

for each instrument (default) | matrix with values `[1 1]`

(fixed-fixed), ```
[1
0]
```

(fixed-float), `[0 1]`

(float-fixed),
or `[0 0]`

(float-float)Leg type, specified as a `NINST`

-by-`2`

matrix
with values `[1 1]`

(fixed-fixed), `[1 0]`

(fixed-float), ```
[0
1]
```

(float-fixed), or `[0 0]`

(float-float).
Each row represents an instrument. Each column indicates if the corresponding
leg is fixed (`1`

) or floating (`0`

).
This matrix defines the interpretation of the values entered in `LegRate`

. `LegType`

allows ```
[1
1]
```

(fixed-fixed), `[1 0]`

(fixed-float), ```
[0
1]
```

(float-fixed), or `[0 0]`

(float-float)
swaps

**Data Types: **`double`

`'Options'`

— Derivatives pricing options structurestructure

Derivatives pricing options structure, specified using `derivset`

.

**Data Types: **`struct`

`'EndMonthRule'`

— End-of-month rule flag for generating dates when `Maturity`

is end-of-month date for month having 30 or fewer days`1`

(in effect) (default) | nonnegative integer `[0,1]`

End-of-month rule flag for generating dates when `Maturity`

is
an end-of-month date for a month having 30 or fewer days, specified
as nonnegative integer [`0`

, `1`

]
using a `NINST`

-by-`1`

(or `NINST`

-by-`2`

if `EndMonthRule`

is
different for each leg).

`0`

= Ignore rule, meaning that a payment date is always the same numerical day of the month.`1`

= Set rule on, meaning that a payment date is always the last actual day of the month.

**Data Types: **`logical`

`'AdjustCashFlowsBasis'`

— Flag to adjust cash flows based on actual period day count`false`

(default) | value of `0`

(false) or `1`

(true)Flag to adjust cash flows based on actual period day count,
specified as a `NINST`

-by-`1`

(or `NINST`

-by-`2`

if `AdjustCashFlowsBasis`

is
different for each leg) of logicals with values of `0`

(false)
or `1`

(true).

**Data Types: **`logical`

`'BusDayConvention'`

— Business day conventions`actual`

(default) | character vector | cell array of character vectorsBusiness day conventions, specified by a character vector or
a `N`

-by-`1`

(or `NINST`

-by-`2`

if `BusDayConvention`

is
different for each leg) cell array of character vectors of business
day conventions. The selection for business day convention determines
how non-business days are treated. Non-business days are defined as
weekends plus any other date that businesses are not open (e.g. statutory
holidays). Values are:

`actual`

— Non-business days are effectively ignored. Cash flows that fall on non-business days are assumed to be distributed on the actual date.`follow`

— Cash flows that fall on a non-business day are assumed to be distributed on the following business day.`modifiedfollow`

— Cash flows that fall on a non-business day are assumed to be distributed on the following business day. However if the following business day is in a different month, the previous business day is adopted instead.`previous`

— Cash flows that fall on a non-business day are assumed to be distributed on the previous business day.`modifiedprevious`

— Cash flows that fall on a non-business day are assumed to be distributed on the previous business day. However if the previous business day is in a different month, the following business day is adopted instead.

**Data Types: **`char`

| `cell`

`'Holidays'`

— Holidays used in computing business daysif not specified, the default is to use

`holidays.m`

(default) | MATLABHolidays used in computing business days, specified as MATLAB date
numbers using a `NHolidays`

-by-`1`

vector.

**Data Types: **`double`

`'StartDate'`

— Date swap actually starts`Settle`

date (default) | serial date number | character vectorDate swap actually starts, specified as a `NINST`

-by-`1`

vector
of dates using a serial date number or a character vector.

Use this argument to price forward swaps, that is, swaps that start in a future date

**Data Types: **`char`

| `double`

`Price`

— Expected swap prices at time 0vector

Expected swap prices at time 0, returned as a `NINST`

-by-`1`

vector.

`PriceTree`

— Tree structure of instrument pricesstructure

Tree structure of instrument prices, returned as a MATLAB structure
of trees containing vectors of swaption instrument prices and a vector
of observation times for each node. Within `PriceTree`

:

`PriceTree.PTree`

contains the clean prices.`PriceTree.tObs`

contains the observation times.

`CFTree`

— Swap cash flowsstructure

Swap cash flows, returned as a tree structure with a vector
of the swap cash flows at each node. This structure contains only `NaN`

s
because with binomial recombining trees, cash flows cannot be computed
accurately at each node of a tree.

`SwapRate`

— Rates applicable to fixed legmatrix

Rates applicable to the fixed leg, returned as a `NINST`

-by-`1`

vector
of rates applicable to the fixed leg such that the swaps’ values
are zero at time 0. This rate is used in calculating the swaps’
prices when the rate specified for the fixed leg in `LegRate`

is `NaN`

.
The `SwapRate`

output is padded with `NaN`

for
those instruments in which `CouponRate`

is not set
to `NaN`

.

In an amortizing swap, the notional principal decreases periodically because it is tied to an underlying financial instrument with a declining (amortizing) principal balance, such as a mortgage.

Agreement to enter into an interest-rate swap arrangement on a fixed date in future.

`bdttree`

| `capbybdt`

| `cfbybdt`

| `floorbybdt`

You clicked a link that corresponds to this MATLAB command:

Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.

Was this topic helpful?

You can also select a location from the following list:

- América Latina (Español)
- Canada (English)
- United States (English)

- Belgium (English)
- Denmark (English)
- Deutschland (Deutsch)
- España (Español)
- Finland (English)
- France (Français)
- Ireland (English)
- Italia (Italiano)
- Luxembourg (English)

- Netherlands (English)
- Norway (English)
- Österreich (Deutsch)
- Portugal (English)
- Sweden (English)
- Switzerland
- United Kingdom (English)