Modelling dependence in finance using copulas - Thierry Roncalli's ...
Modelling dependence in finance using copulas - Thierry Roncalli's ...
Modelling dependence in finance using copulas - Thierry Roncalli's ...
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Let consider an example of equity portfolio with a long position <strong>in</strong><br />
the security S t . We def<strong>in</strong>e the loss variable as follows: ϑ = S t+1 − S t .<br />
We assume two distributions: ϑ ∼ N (0, 1) and ϑ ∼ t 4 .<br />
Rat<strong>in</strong>g Regulatory BBB A AA AAA<br />
α 99% 99.75% 99.9% 99.95% 99.97%<br />
Return time 100 days 400 days 4 years 8 years 13 years<br />
Φ −1 (α) 2.33 2.81 3.09 3.29 3.43<br />
t −1<br />
4<br />
(α) 3.75 5.60 7.17 8.61 9.83<br />
Let consider now a portfolio with different securities. The<br />
Capital-at-Risk will be <strong>in</strong>fluenced by<br />
• the assumption on the distributions of <strong>in</strong>dividual risk factors;<br />
• and by the assumption on the <strong>dependence</strong> between the different<br />
risk factors.<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 3-3