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存’s FRTB服务 leverages 存’s global set of financial data and vast infrastructure to pool observable transaction data, helping banks meet framework requirements to optimize balance sheet capital.

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    存 is uniquely positioned to help banks reduce operational implementation burdens and market risk capital charges as they work to comply with the Basel Committee on Banking Supervision’s Fundamental Review of the Trading Book (“FRTB”) by providing a comprehensive “real” price observation data solution. As the premier post-trade market infrastructure for the global financial services industry, 存 has unsurpassed data collection capabilities across multiple asset classes, including the more illiquid securities in the opaque OTC derivatives market.

    The 存 FRTB服务 will leverage 存’s existing global data collection infrastructures to assist banks with implementation of the risk factor modellability assessment framework, including critical non-modellable risk factor (NMRF) assessment. The solution will allow users to configure their own instruments by taking into account risk factor mapping and bucketing that could be tailored to their trading portfolio by accessing the industry pooled data to achieve modellability for those instruments. Users can then enter an instrument query through the service and the service will return either a pass or fail value. 如果票据失效, they can easily re-configure and re-run their query to make another attempt at modellability.

  • 好处

    特性

    好处

    可配置的定义
    Configurable definition of “real” price event” and application of filters to identify the transactions only associated to the defined “real” price events such as new trade, 作业, and full or partial trade termination

    Configurable definition of “instrument” that takes into account the risk factor mapping and bucketing
    汇总“真实”价格数据
    Reduce market fragmentation by creating a primary source of “real” price observation data from a global source of derivatives and cash product transactionsAssessment of continuous availability of “market observable trades” to evidence instrument-level modellability based on a set of criteria

    Deduplication of contributed data across the entire dataset
    Early Alerts for Trade Volume Changes
    Trade volume monitoring function enables monitoring of trade volume changes for a specified instrument and will notify the users with an early indicator or alert
    Filtering and Drill-down Capabilities
    Business rules based filtering and drill-down capabilities allow users to specify the level of granularity needed in order to map the instruments to risk factors. Audit capabilities to allow regulators to review and analyze observation results across all asset classes
    标准化vnsr威尼斯城官网登入分类
    Promote standard product and sub-product taxonomy by aligning with the ISDA Product Taxonomy

  • 提供

    Access to pooled “real” price data with the ability to query instrument level details to provide modellability assessment.

  • 报道

    The following table highlights the volumes and breadth of data that underpins 存’s FRTB service. Key data sources by asset class, trade volume, and location:

  • 它是如何工作的

    Using the 存’s FRTB service greatly increases the ability for banks to meet their “real” price criteria by allowing them to:

    • Configure their own instruments by taking into account risk factor mapping and bucketing that is tailored to their trading portfolio. And, access to industry pooled data to achieve modellability for those instruments.
    • And, access to industry pooled data to achieve modellability for those instruments.

    Once they’ve configured their instruments, they enter a query through the service and will either pass or fail the assessment. 如果票据失效, they can easily re-configure and re-run their query to make another attempt at modellability.

  • 交付

    • 按需访问的Web界面
    • 通过Internet上的SFTP

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