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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 181<br />

Funding Matrix<br />

We map all funding-relevant assets and all liabilities into time buckets corresponding to their economic maturities<br />

to compile a maturity profile (funding matrix). Given that trading assets are typically more liquid than their contractual<br />

maturities suggest, we determine individual liquidity profiles reflecting their relative liquidity value. We<br />

take assets and liabilities from the retail bank that show a behavior of being renewed or prolonged regardless<br />

of capital market conditions (mortgage loans and retail deposits) and assign them to time buckets reflecting the<br />

expected prolongation. Wholesale banking products are included with their contractual maturities.<br />

The funding matrix identifies the excess or shortfall of assets over liabilities in each time bucket, facilitating<br />

management of open liquidity exposures. The funding matrix analysis together with the strategic liquidity planning<br />

process, which forecasts the funding supply and demand across business units, provides the key input parameter<br />

for our annual capital market issuance plan. Upon approval by the Capital and Risk Committee and the<br />

Management Board the capital market issuance plan establishes issuing targets for securities by tenor, volume<br />

and instrument. As per the year-end <strong>20</strong>10, we were long funded in each of the annual time buckets of the funding<br />

matrix (2-10 years).<br />

In <strong>20</strong>10, Treasury issued capital market instruments with a total value of approximately € 22.9 billion, € 3.9 billion<br />

more than the original issuance plan.<br />

For information regarding the maturity profile of our long-term debt, please refer to Note 30 “Long-Term Debt<br />

and Trust Preferred Securities” of our consolidated financial statements.<br />

Transfer Pricing<br />

We operate a transfer pricing framework that applies to all businesses and ensures that pricing is made of (i)<br />

assets in accordance with their underlying liquidity risk, (ii) liabilities in accordance with their funding maturity<br />

and (iii) contingent liquidity exposures in accordance with the cost of providing for commensurate liquidity reserves<br />

to fund unexpected cash requirements.<br />

Within this transfer pricing framework we allocate funding and liquidity risk costs and benefits to the firm’s business<br />

units and set financial incentives in line with the firm’s liquidity risk guidelines. Transfer prices are subject<br />

to liquidity (term) premiums depending on market conditions. Liquidity premiums are set by Treasury and<br />

picked up by a segregated liquidity account. The Treasury liquidity account is the aggregator of long-term liquidity<br />

costs. The management and cost allocation of the liquidity account is the key variable for transfer pricing funding<br />

costs within <strong>Deutsche</strong> <strong>Bank</strong>.<br />

Stress Testing and Scenario Analysis<br />

We use stress testing and scenario analysis to evaluate the impact of sudden stress events on our liquidity<br />

position. The scenarios we apply have been based on historic events, such as the 1987 stock market crash,<br />

the 1990 U.S. liquidity crunch and the September <strong>20</strong>01 terrorist attacks, liquidity crisis case studies and hypothetical<br />

events.<br />

Also incorporated are the lessons learned from the latest financial markets crisis. They include the prolonged<br />

term money-market and secured funding freeze, collateral repudiation, reduced fungibility of currencies,<br />

stranded syndications as well as other systemic knock-on effects. The scenario types cover institution-specific<br />

events (e.g. rating downgrade), market related events (e.g. systemic market risk) as well as a combination of<br />

both, which links a systemic market shock with a multi-notch rating downgrade.

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