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Modelling dependence in finance using copulas - Thierry Roncalli's ...

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3.3 The choice of the copula function<br />

Let consider two markets (for example the equity market and the<br />

bond market). We are <strong>in</strong>terested <strong>in</strong> the probability that the loss <strong>in</strong><br />

one market is greater than its value-at-risk given that the loss <strong>in</strong> the<br />

second market is already greater than its value-at-risk:<br />

λ (α) = Pr {ϑ 2 > VaR 2 (α) | ϑ 1 > VaR 1 (α)}<br />

= Pr { ϑ 2 > F −1<br />

2 (α) | ϑ 1 > F −1 }<br />

1 (α)<br />

= Pr {F 2 (ϑ 2 ) > α, F 1 (ϑ 1 ) > α}<br />

Pr {F 1 (ϑ 1 ) > α}<br />

1 − 2α + C (α, α)<br />

=<br />

1 − α<br />

λ (α) depends on the copula, but not on the marg<strong>in</strong>s.<br />

<strong>Modell<strong>in</strong>g</strong> <strong>dependence</strong> <strong>in</strong> f<strong>in</strong>ance us<strong>in</strong>g <strong>copulas</strong><br />

An open field for risk management 3-10

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