debtors includes mortgages, cash guarantees and other collateral such as pledged securities. Other kinds of credit enhancements may be put in place such as guarantees. - Debt securities: The guarantees or credit enhancements obtained directly from the issuer or counterparty are inherent in the structure of the instrument. • Held-to-maturity investments: The guarantees or credit enhancements obtained directly from the issuer or counterparty are inherent in the structure of the instrument. • Hedging derivatives: Credit risk is minimized through contractual netting agreements, where positiveand negative-value derivatives with the same counterparty are settled at their net balance. There may likewise be other kinds of guarantees, depending on counterparty solvency and the nature of the transaction. • Financial guarantees, other contingent exposures and drawable by third parties: They have the counterparty’s personal guarantee and, in some cases, the additional guarantee from another credit institution with which a credit derivative has been subscribed. The Group’s collateralized credit risk as of June 30, 2010 and December 31, 2009, excluding balances deemed impaired, is broken down in the table below: Millions of Euros Collateralized Credit Risk June December 2010 2009 Mortgage loans 132,732 127,957 Operating assets mortgage loans 3,976 4,050 Home mortgages 106,106 99,493 Rest of mortgages 22,650 24,414 Secured loans, except mortgage 22,675 20,917 Cash guarantees 265 231 Secured loan (pledged securities) 528 692 Rest of secured loans 21,882 19,994 Total 155,407 148,874 In addition, the derivatives carry contractual, legal compensation rights that have effectively reduced credit risk by €35,163 million as of June 30, 2010 and by €27,026 million as of December 31, 2009. As of June 30, 2010, specifically in relation to mortgages, the average amount pending loan collection represented 54% of the collateral pledged (54% as of December 31, 2009). Credit quality of financial assets that are neither past due nor impaired <strong>BBVA</strong> has ratings tools that enable it to rank the credit quality of its operations and customers based on a scoring system and to map these ratings to probability of default (“PD”) scales. To analyze the performance of PD, the Bank has a series of historical databases that house the pertinent information generated internally. The scoring tools vary by customer segment (companies, corporate clients, SMEs, public authorities, etc.). Scoring is a decision model that contributes to both the arrangement and management of retail type loans: consumer loans, mortgages, credit cards for individuals, etc. Scoring is the tool used to decide to whom a loan should be assigned, what amount should be assigned and what strategies can help establish the price, because it is an algorithm that sorts transactions in accordance with their credit rating. Rating tools, as opposed to scoring tools, do not assess transactions but focus on customers instead: companies, corporate clients, SMEs, public authorities, etc. For wholesale portfolios where the number of defaults is very low (sovereigns, corporates, financial entities) the internal ratings models are fleshed out by benchmarking the statistics maintained by external rating agencies (Moody's, Standard & Poor’s and Fitch). To this end, each year the Bank compares the PDs compiled by the agencies at each level of risk rating and maps the measurements compiled by the various agencies to the <strong>BBVA</strong> master rating scale. Once the probability of default for the transactions or customers has been determined, the so-called business cycle adjustment starts. This involves generating a risk metric outside the context estimate, seeking 52
to gather information that represents behavior for an entire economic cycle. This probability is linked to the Group's master rating scale. <strong>BBVA</strong> maintains a master rating scale with a view to facilitating the uniform classification of the Group’s various asset risk portfolios. The table below depicts the abridged scale which groups outstanding risk into 17 categories as of June 30, 2010: Internal Rating Probability of default (basic points) Reduced List (17 groups) Average Minimum from >= Maximum AAA 1 - 2 AA+ 2 2 3 AA 3 3 4 AA- 4 4 5 A+ 5 5 6 A 8 6 9 A- 10 9 11 BBB+ 14 11 17 BBB 20 17 24 BBB- 31 24 39 BB+ 51 39 67 BB 88 67 116 BB- 150 116 194 B+ 255 194 335 B 441 335 581 B- 785 581 1,061 C 2,122 1,061 4,243 The table below outlines the distribution of exposure including derivatives by internal ratings, to financial entities and public institutions (excluding sovereign risk), of the Group’s main institutions as of June 30, 2010 and December 31, 2009: Credit Risk Distribution by Internal Rating June December 2010 2009 AAA/AA+/AA/AA- 22.74% 19.55% A+/A/A- 29.20% 28.78% BBB+ 7.70% 8.65% BBB 6.34% 7.06% BBB- 6.72% 6.91% BB+ 4.91% 4.46% BB 7.13% 6.05% BB- 5.65% 6.45% B+ 5.19% 5.38% B 3.25% 3.34% B- 0.95% 0.88% CCC/CC 0.22% 2.49% Total 100.00% 100.00% 53
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BANCO BILBAO VIZCAYA ARGENTARIA, S.
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Post-Employment Actuarial Hypothesi
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during which to increase the common
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Reserves Assigned to the Consolidat
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Millions of Euros Valuation Adjustm
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on equity (ROE) by each business; a
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39. INTEREST, INCOME AND SIMILAR EX
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linked to the movement of the Total
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48. PROVISIONS (NET) The net allowa
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The table below breaks down the mai
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The amount disposed of the loans gr
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BBVA executive team. It is to end o
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Commission (CNMV) announced the lif
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APPENDIX I. FINANCIAL STATEMENTS OF
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Millions of Euros LIABILITIES AND E
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APPENDIX I. FINANCIAL STATEMENTS OF
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APPENDIX I. FINANCIAL STATEMENTS OF
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Millions of Euros (Continued) June
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APPENDIX II. Additional information
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APPENDIX II. Additional information
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APPENDIX II. Additional information
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APPENDIX II. Additional information
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APPENDIX III. Additional informatio
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APPENDIX V. Changes and notificatio
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APPENDIX VI. Fully consolidated sub
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APPENDIX VIII. Breakdown of the mos
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Outsanding as of June 30, 2010 of S
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APPENDIX IX. Consolidated balance s
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Diluted earnings per share Early re
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Other financial assets/liabilities
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BANCO BILBAO VIZCAYA ARGENTARIA, S.
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The explanations of the changes in
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4. SUMMARIZED INTERIM CONSOLIDATED
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Spain and Portugal Millions of Euro
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Mexico Millions of Euros Mexico Jun
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South America Millions of Euros Sou
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The United States Millions of Euros
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Wholesale Banking and Asset Managem
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The changes in the principal headin
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Aggregating Tier I and Tier II, as