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

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1. Tenor structure of N <strong>in</strong>terest rates<br />

2. Instantaneous volatility function σ i (t), i ∈ [1..N]<br />

3. Correlation structure of LIBOR rates.<br />

Tenor structure of <strong>in</strong>terest rates is available to us immediately but volatility <strong>and</strong> correlation<br />

require some extra work.<br />

3.4.1 Calibration to caplets<br />

LIBOR Market Model assumes that forward LIBOR rates follow a lognormal distribution,<br />

i.e L i (T i ) = L i (t) exp(Z i+1 ), where Z i+1 ∼ N (− 1 2 κ2 , κ 2 ) under Q T i+1<br />

,<br />

<strong>and</strong>:<br />

κ 2 =<br />

∫ Ti<br />

t<br />

||σ(s)|| 2 ds<br />

One can see that, <strong>in</strong> order to get a value for variance of a LIBOR process, we need to<br />

<strong>in</strong>tegrate an <strong>in</strong>stantaneous volatility function, that is unfortunately is not at our disposal<br />

by default. What we do have is Black implied volatilites that are available to public.<br />

Calibration to caplets implies that we should take quoted caplet volatility values as a<br />

template/skeleton <strong>and</strong> fit <strong>the</strong> curve that matches <strong>the</strong> view of <strong>the</strong> <strong>market</strong>. Discussion on<br />

approximat<strong>in</strong>g <strong>the</strong> <strong>in</strong>stantaneous volatility function can be found <strong>in</strong> [Rebonato, 1998].<br />

In this <strong>the</strong>sis, a simplified approach of a flat <strong>in</strong>stantaneous volatility function will<br />

be adopted. To be more specific, we shall assume LIBOR rate volatility to be constant<br />

for a given tenor. Calibration to caplets <strong>in</strong> this case is particularly easy. By sett<strong>in</strong>g:<br />

or<br />

σ 2 BLACK(T i − t) = κ 2<br />

√<br />

1<br />

σ BLACK =<br />

T t − t<br />

∫ Ti<br />

t<br />

||σ(s)|| 2 ds<br />

we can accept Black volatilities as an average of an <strong>in</strong>stantaneous volatility function<br />

throughout <strong>the</strong> given tenor <strong>and</strong> use <strong>the</strong>m directly.<br />

3.4.2 Correlation structure of forward rates.<br />

Hav<strong>in</strong>g calibrated to caplet volatilities, <strong>the</strong> setup of <strong>the</strong> <strong>model</strong> is still not complete. In<br />

our discussion of pric<strong>in</strong>g under term<strong>in</strong>al measure we have neglected any correlation<br />

that might exist between <strong>the</strong> LIBOR processes. As for this moment, any given process<br />

for a LIBOR rate is driven solely by its Brownian Motion with drift, imposed by<br />

change of measure. If we are <strong>model</strong>l<strong>in</strong>g such tenor structure of N LIBOR rates, <strong>the</strong><br />

result<strong>in</strong>g processes can be shown <strong>in</strong> <strong>the</strong> follow<strong>in</strong>g matrix-vector form with matrix A as<br />

25

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