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SEC Form 20-F - Deutsche Bank Annual Report 2012

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<strong>Deutsche</strong> <strong>Bank</strong><br />

<strong>Annual</strong> <strong>Report</strong> <strong>20</strong>10 on <strong>Form</strong> <strong>20</strong>-F<br />

Item 11: Quantitative and Qualitative Disclosures about Credit, Market and Other Risk 169<br />

Our value-at-risk for the trading units remained within a band between € 67.5 million and € 126.4 million. The<br />

average value-at-risk in <strong>20</strong>10 was € 95.6 million, which is 25 % below the <strong>20</strong>09 average of € 126.8 million.<br />

The decrease in average Value-at-Risk observed in <strong>20</strong>10 was driven primarily by reduced risk taking and lower<br />

historical volatilities. In addition, the trading business continued with the recalibration of its business model<br />

towards taking less risk in illiquid or complex exposures.<br />

The following table shows the value-at-risk of Postbank’s trading book (with a 99 % confidence level and a oneday<br />

holding period). “Diversification effect” reflects the fact that the total value-at-risk on a given day will be<br />

lower than the sum of the values-at-risk relating to the individual risk classes. Simply adding the value-at-risk<br />

figures of the individual risk classes to arrive at an aggregate value-at-risk would imply the assumption that the<br />

losses in all risk categories occur simultaneously.<br />

in € m. Dec 31, <strong>20</strong>10<br />

Value-at-risk of Postbank<br />

Interest rate risk 1.8<br />

Equity price risk 0.2<br />

Foreign exchange risk 0.0<br />

Commodity price risk –<br />

Diversification effect (0.0)<br />

Total 2.0<br />

Regulatory Backtesting of Trading Market Risk<br />

Backtesting is a procedure used to verify the predictive power of the value-at-risk calculations involving the<br />

comparison of hypothetical daily profits and losses under the buy-and-hold assumption with the estimates from<br />

the value-at-risk model. An outlier is a hypothetical buy-and-hold trading loss that exceeds our value-at-risk<br />

estimate. On average, we would expect a 99 percent confidence level to give rise to two to three outliers in any<br />

one year. In our regulatory back-testing in <strong>20</strong>10, we observed two outliers compared to one in <strong>20</strong>09. Both outliers<br />

occurred in late May following increased market volatility. We continue to believe that, due to the significant<br />

improvement in methodology, calculation parameters and the model performance achieved since the market<br />

turmoil, our value-at-risk model will remain an appropriate measure for our trading market risk under normal<br />

market conditions.

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