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BANCO BILBAO VIZCAYA ARGENTARIA, S.A. AND ... - BBVA

BANCO BILBAO VIZCAYA ARGENTARIA, S.A. AND ... - BBVA

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debtors includes mortgages, cash guarantees and other collateral such as pledged securities.<br />

Other kinds of credit enhancements may be put in place such as guarantees.<br />

- Debt securities: The guarantees or credit enhancements obtained directly from the issuer or<br />

counterparty are inherent in the structure of the instrument.<br />

• Held-to-maturity investments: The guarantees or credit enhancements obtained directly from the<br />

issuer or counterparty are inherent in the structure of the instrument.<br />

• Hedging derivatives: Credit risk is minimized through contractual netting agreements, where positiveand<br />

negative-value derivatives with the same counterparty are settled at their net balance. There may<br />

likewise be other kinds of guarantees, depending on counterparty solvency and the nature of the<br />

transaction.<br />

• Financial guarantees, other contingent exposures and drawable by third parties: They have the<br />

counterparty’s personal guarantee and, in some cases, the additional guarantee from another credit<br />

institution with which a credit derivative has been subscribed.<br />

The Group’s collateralized credit risk as of June 30, 2010 and December 31, 2009, excluding balances<br />

deemed impaired, is broken down in the table below:<br />

Millions of Euros<br />

Collateralized Credit Risk<br />

June December<br />

2010 2009<br />

Mortgage loans 132,732 127,957<br />

Operating assets mortgage loans 3,976 4,050<br />

Home mortgages 106,106 99,493<br />

Rest of mortgages 22,650 24,414<br />

Secured loans, except mortgage 22,675 20,917<br />

Cash guarantees 265 231<br />

Secured loan (pledged securities) 528 692<br />

Rest of secured loans 21,882 19,994<br />

Total 155,407 148,874<br />

In addition, the derivatives carry contractual, legal compensation rights that have effectively reduced credit<br />

risk by €35,163 million as of June 30, 2010 and by €27,026 million as of December 31, 2009.<br />

As of June 30, 2010, specifically in relation to mortgages, the average amount pending loan collection<br />

represented 54% of the collateral pledged (54% as of December 31, 2009).<br />

Credit quality of financial assets that are neither past due nor impaired<br />

<strong>BBVA</strong> has ratings tools that enable it to rank the credit quality of its operations and customers based on a<br />

scoring system and to map these ratings to probability of default (“PD”) scales. To analyze the performance<br />

of PD, the Bank has a series of historical databases that house the pertinent information generated<br />

internally.<br />

The scoring tools vary by customer segment (companies, corporate clients, SMEs, public authorities, etc.).<br />

Scoring is a decision model that contributes to both the arrangement and management of retail type loans:<br />

consumer loans, mortgages, credit cards for individuals, etc. Scoring is the tool used to decide to whom a<br />

loan should be assigned, what amount should be assigned and what strategies can help establish the price,<br />

because it is an algorithm that sorts transactions in accordance with their credit rating. Rating tools, as<br />

opposed to scoring tools, do not assess transactions but focus on customers instead: companies, corporate<br />

clients, SMEs, public authorities, etc. For wholesale portfolios where the number of defaults is very low<br />

(sovereigns, corporates, financial entities) the internal ratings models are fleshed out by benchmarking the<br />

statistics maintained by external rating agencies (Moody's, Standard & Poor’s and Fitch). To this end, each<br />

year the Bank compares the PDs compiled by the agencies at each level of risk rating and maps the<br />

measurements compiled by the various agencies to the <strong>BBVA</strong> master rating scale.<br />

Once the probability of default for the transactions or customers has been determined, the so-called<br />

business cycle adjustment starts. This involves generating a risk metric outside the context estimate, seeking<br />

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