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# LiborMarketModel class

Create LIBOR Market Model

## Description

The LIBOR Market Model (LMM) differs from short rate models in that it evolves a set of discrete forward rates. Specifically, the lognormal LMM specifies the following diffusion equation for each forward rate

where:

W is an N-dimensional geometric Brownian motion with

The LMM relates the drifts of the forward rates based on no-arbitrage arguments. Specifically, under the Spot LIBOR measure, the drifts are expressed as

where:

is the time fraction associated with the i th forward rate

q(t) is an index defined by the relation

and the Spot LIBOR numeraire is defined as

## Construction

OBJ = LiborMarketModel(ZeroCurve,VolFunc,Correlation) constructs a LIBOR Market Model object.

For example:

```Settle = datenum('15-Dec-2007');
CurveTimes = [1:5 7 10 20]';
ZeroRates = [.01 .018 .024 .029 .033 .034 .035 .034]';
CurveDates = daysadd(Settle,360*CurveTimes,1);

irdc = IRDataCurve('Zero',Settle,CurveDates,ZeroRates);

LMMVolFunc = @(a,t) (a(1)*t + a(2)).*exp(-a(3)*t) + a(4);
LMMVolParams = [.3 -.02 .7 .14];

numRates = 20;
VolFunc(1:numRates) = {@(t) LMMVolFunc(LMMVolParams,t)};

Beta = .08;
CorrFunc = @(i,j,Beta) exp(-Beta*abs(i-j));
Correlation = CorrFunc(meshgrid(1:numRates)',meshgrid(1:numRates),Beta);

LMM = LiborMarketModel(irdc,VolFunc,Correlation,'Tenor',1:numRates);```

## Properties

The following properties are from the LiborMarketModel class.

ZeroCurve

ZeroCurve is specified using the output from IRDataCurve or RateSpec. This is the zero curve used to evolve the path of future interest rates.

Attributes:

 SetAccess public GetAccess public

VolFunc

NumRates-by-1 cell array of function handles. Each function handle must take time as an input and, return a scalar volatility.

Attributes:

 SetAccess public GetAccess public

Correlation

NumRates-by-NumRates correlation matrix.

Attributes:

 SetAccess public GetAccess public

NumFactors

Number of Brownian factors. The default is NaN, where the number of factors is equal to the number of rates.

Attributes:

 SetAccess public GetAccess public

Period

Period of the forward rates. The default is default is 2, meaning forward rates are spaced at 0, .5, 1, 1.5 and so on.

 Note:   Correlation and VolFunc are sized with NumRates-by-1 since the first rate is locked in and essentially dead.

Attributes:

 SetAccess public GetAccess public

## Methods

 simTermStructs Simulate term structures for LIBOR Market Model

## Definitions

### LIBOR Market Model

The LIBOR Market Model, also called the BGM Model (Brace, Gatarek, Musiela Model) is a financial model of interest rates. The quantities that are modeled are a set of forward rates (also called forward LIBORs) which have the advantage of being directly observable in the market, and whose volatilities are naturally linked to traded contracts.

## Copy Semantics

Value. To learn how value classes affect copy operations, see Copying Objects in the MATLAB® documentation.

## Examples

expand all

### Construct a LIBOR Market Model

Construct a LMM object.

```Settle = datenum('15-Dec-2007');
CurveTimes = [1:5 7 10 20]';
ZeroRates = [.01 .018 .024 .029 .033 .034 .035 .034]';
CurveDates = daysadd(Settle,360*CurveTimes,1);

irdc = IRDataCurve('Zero',Settle,CurveDates,ZeroRates);

LMMVolFunc = @(a,t) (a(1)*t + a(2)).*exp(-a(3)*t) + a(4);
LMMVolParams = [.3 -.02 .7 .14];

numRates = 20;
VolFunc(1:numRates-1) = {@(t) LMMVolFunc(LMMVolParams,t)};

Beta = .08;
CorrFunc = @(i,j,Beta) exp(-Beta*abs(i-j));
Correlation = CorrFunc(meshgrid(1:numRates-1)',meshgrid(1:numRates-1),Beta);

LMM = LiborMarketModel(irdc,VolFunc,Correlation,'Period',1)```
```LMM =

LiborMarketModel with properties:

ZeroCurve: [1x1 IRDataCurve]
VolFunctions: {1x19 cell}
Correlation: [19x19 double]
NumFactors: NaN
Period: 1```

Simulate the term structures for the specified LMM object.

```[ZeroRates, ForwardRates] = LMM.simTermStructs(10,'nTrials',100);
```

## References

Brigo, D. and F. Mercurio, Interest Rate Models - Theory and Practice, Springer Finance, 2006.

## See Also

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