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sparse grid method in the libor market model. option valuation and the

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a good compromise on <strong>the</strong> size of ɛ are required to capture <strong>the</strong> reaction of MC <strong>option</strong><br />

value to small parameter shifts.<br />

4.2 F<strong>in</strong>ite Difference Method<br />

While Monte Carlo simulation rema<strong>in</strong>s <strong>the</strong> <strong>in</strong>dustry’s tool of choice for pric<strong>in</strong>g <strong>in</strong>terest<br />

rate derivatives with<strong>in</strong> LMM framework, <strong>the</strong> difficulties mentioned above motivate<br />

researchers appeal to alternatives approaches.<br />

d=2<br />

4<br />

3<br />

2<br />

1<br />

0<br />

0<br />

1<br />

2<br />

h<br />

1<br />

}<br />

3<br />

4<br />

} h 2<br />

with:<br />

d=1<br />

h=<br />

L=<br />

m<br />

U h , L<br />

( h 1,h<br />

) t<br />

2<br />

( 2,3) t<br />

Figure 4.2: 2D Solution mesh.<br />

A numerical technique where <strong>the</strong> issues with<br />

early exercise <strong>and</strong> <strong>the</strong> greeks are solved quite<br />

naturally is <strong>the</strong> F<strong>in</strong>ite Differences Method. This<br />

approach works by approximat<strong>in</strong>g a PDE solution<br />

on a discrete mesh of po<strong>in</strong>ts. An orig<strong>in</strong>al<br />

PDE is rewritten <strong>in</strong>to a difference equation (or<br />

a system of such) to be solved ei<strong>the</strong>r directly or<br />

iteratively. Discretization can be done accord<strong>in</strong>g<br />

to one of <strong>the</strong> several discretization schemes<br />

that vary <strong>in</strong> <strong>the</strong> degree of accuracy, stability<br />

<strong>and</strong> speed of convergence [Travella <strong>and</strong> R<strong>and</strong>al,<br />

2000].<br />

Solution space. The number of subsequent <strong>in</strong>terest<br />

rates, that underlie a derivative product, determ<strong>in</strong>es <strong>the</strong> “Space”-dimensionality<br />

of our LIBOR Market PDE. In o<strong>the</strong>r words, an i-th dimension <strong>in</strong> our solution mesh<br />

is assigned to an [L m<strong>in</strong><br />

i . . . L max<br />

i ] range <strong>in</strong> an i-th forward rate. The step size <strong>in</strong> an<br />

underly<strong>in</strong>g rate L i is def<strong>in</strong>ed by a number of mesh po<strong>in</strong>ts M i <strong>in</strong> <strong>the</strong> correspond<strong>in</strong>g<br />

dimension. Let’s denote: 3<br />

• h = (h 1 , h 2 , . . . , h d ) t to be a mesh width vector of a d-dimensional mesh, where<br />

h i = Lmax i<br />

−L m<strong>in</strong><br />

i<br />

M i −1<br />

.<br />

• L i±k = (L 1 , . . . , L i ± kh i , . . . , L d ) t to be a vector of coord<strong>in</strong>ates of <strong>the</strong> po<strong>in</strong>t<br />

on <strong>the</strong> mesh.<br />

• Uh,L m to be <strong>the</strong> solution at time level m at coord<strong>in</strong>ate L on a <strong>grid</strong> with space<br />

discretization h.<br />

Time discretisation. Relation (3.37) stipulates that <strong>the</strong> boundary condition for our<br />

equation should correspond to <strong>the</strong> value of an <strong>option</strong> payoff at T N ≡ T d+1 . In reality,<br />

an eventual cash <strong>in</strong>flow from such product fixes at T d <strong>and</strong> stays unchanged for [T d , T d +<br />

α d ]. This fact allows us to restrict <strong>the</strong> time horizon to that part of <strong>the</strong> tenor structure<br />

where <strong>the</strong> dynamics of work<strong>in</strong>g forward rates do affect <strong>the</strong> outcome. Discount<strong>in</strong>g with<br />

D(t, T d+1 ), as <strong>in</strong> (3.34), ensures that extra α d time of position existence is accounted<br />

3 In this section we shall take advantage of convenient notation used <strong>in</strong>[Blackham, 2004]<br />

33

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