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BBVA in 2012

BBVA in 2012

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The so-called bureau scor<strong>in</strong>g models, widely used <strong>in</strong> the Americas, are also of great importance. Thisk<strong>in</strong>d of tool is similar to the scor<strong>in</strong>gs expla<strong>in</strong>ed above, except that while the latter are based on theBank’s <strong>in</strong>ternal <strong>in</strong>formation, bureau scor<strong>in</strong>g requires credit <strong>in</strong>formation from other credit <strong>in</strong>stitutionsor banks (on default events or customer behavior). In countries with positive bureau <strong>in</strong>formation,exist<strong>in</strong>g external and <strong>in</strong>ternal <strong>in</strong>formation is comb<strong>in</strong>ed. This <strong>in</strong>formation is provided by specializedagencies that compile data from other entities. Not all banks collaborate <strong>in</strong> supply<strong>in</strong>g this <strong>in</strong>formation,and usually only participat<strong>in</strong>g entities have access to it. In Spa<strong>in</strong>, the Bank of Spa<strong>in</strong>’s Risk InformationCenter (CIRBE) makes such <strong>in</strong>formation available. Bureau scor<strong>in</strong>gs are used for the same purpose asthe other scor<strong>in</strong>gs: i.e. authoriz<strong>in</strong>g transactions, sett<strong>in</strong>g risk limits and monitor<strong>in</strong>g risk.An adequate management of the reactive, behavioral, proactive and bureau tools by the Groupmeans that updated risk parameters can be obta<strong>in</strong>ed and are adapted to economic reality. Thisresults <strong>in</strong> precise knowledge of the credit health of transactions and/or customers. This taskis particularly relevant <strong>in</strong> the current economic situation, as it makes it possible to identify thecontracts or customers that are <strong>in</strong> difficulties, and thus take the necessary measures to managerisks that have already been assumed.Rat<strong>in</strong>gThese tools focus on wholesale customers: companies, corporations, SMEs, the public sector, etc. Insuch cases, default events are predicted at the customer level rather than at the contract level.The risk assumed by <strong>BBVA</strong> <strong>in</strong> the wholesale customer portfolio is classified <strong>in</strong> a standardizedway by us<strong>in</strong>g a s<strong>in</strong>gle master scale <strong>in</strong> economic terms for the whole Group that is available <strong>in</strong>two versions: a reduced one with 22 degrees and an extended one with 34. The master scaleallows discrim<strong>in</strong>ation amongst credit quality levels, tak<strong>in</strong>g <strong>in</strong>to account geographical diversity andthe different types of risk <strong>in</strong> the different wholesale portfolios <strong>in</strong> the countries where the Groupoperates.The <strong>in</strong>formation provided by the rat<strong>in</strong>g tools is used when decid<strong>in</strong>g on accept<strong>in</strong>g transactions andreview<strong>in</strong>g limits.Some of the wholesale portfolios managed by <strong>BBVA</strong> are low default portfolios, <strong>in</strong> which thenumber of default events is low (sovereign risks, corporations, etc.). To obta<strong>in</strong> PD estimates <strong>in</strong> theseportfolios, the <strong>in</strong>ternal <strong>in</strong>formation is supplemented by external data, ma<strong>in</strong>ly from external rat<strong>in</strong>gagencies and the databases of external suppliers.There are different axes that permit the risk of different customers to be assessed. Chart 9 is anexample of a rat<strong>in</strong>g tool calibration curve for <strong>BBVA</strong> Spa<strong>in</strong> companies based on the <strong>in</strong>ternal scor<strong>in</strong>gassigned and the sector groups, which show a different cyclicality.9Rat<strong>in</strong>g tool calibration for <strong>BBVA</strong> Spa<strong>in</strong> companies(Default rates based on score and sector groups, with different cyclicality)30%25%Cyclical<strong>in</strong>dustryVery cyclical<strong>in</strong>dustryDefault rates20%15%10%5%0%– +Score96 Risk management

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