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