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204 RISK MANAGEMENT AND VALUE CREATION IN FINANCIAL INSTITUTIONS<br />

All events can be assumed to be <strong>in</strong>dependent of each other <strong>and</strong> of events<br />

<strong>in</strong> other event risk categories. The probabilities of a fire, systems failure, or<br />

fraud are, <strong>in</strong> the vast majority of cases, not related to each other. Therefore,<br />

ρ ij<br />

is assumed to be zero, <strong>and</strong> hence Equation (5.34) reduces to<br />

UL<br />

,<br />

= ∑<br />

2 2<br />

w UL<br />

ER P i i<br />

i<br />

(5.35)<br />

Aga<strong>in</strong>, similar to credit risk, we can derive the required amount of<br />

economic capital for event risk by assum<strong>in</strong>g a shape of the portfolio distribution<br />

of events. 337 We can determ<strong>in</strong>e the capital multiplier (CM) by estimat<strong>in</strong>g<br />

the distance between the expected level of losses <strong>and</strong> the cut-off<br />

po<strong>in</strong>t of the distribution, which is determ<strong>in</strong>ed by the chosen confidence level,<br />

expressed as a multiple of the st<strong>and</strong>ard deviation of losses, as shown <strong>in</strong> Figure<br />

5.9.<br />

Of course, <strong>and</strong> aga<strong>in</strong> similar to credit risk, these results can also be<br />

achieved by more sophisticated Monte Carlo simulations.<br />

EL ER,P<br />

Confidence Level<br />

UL ER,P = σ<br />

Loss<br />

Probability<br />

Losses<br />

Figure 5.9<br />

Economic Capital<br />

= UL ER,P x CM<br />

Distribution for deriv<strong>in</strong>g economic capital for event risk.<br />

0<br />

337 Given that event risk is more similar to <strong>in</strong>surance risk than to credit risk, that is,<br />

the distribution is even more skewed than for credit risk, assum<strong>in</strong>g a beta distribution<br />

here is less appropriate. Some authors, therefore, suggest us<strong>in</strong>g a Weibull distribution,<br />

see, for example, Ong (1999), p. 201.

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