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If done effectively, model validation will enable your bank to have every confidence in its various models’ accuracy, as well as aligning them with the bank’s business and regulatory expectations.By failing to validate models, banks increase the risk of regulatory criticism, fines, and penalties.A validation should independently challenge the underlying conceptual design and ensure that documentation is appropriate to support the model’s logic and the model’s ability to achieve desired regulatory and business outcomes for which it is designed.2 System Validation All technology and automated systems implemented to support models have limitations.An effective validation includes: firstly, evaluating the processes used to integrate the model’s conceptual design and functionality into the organisation’s business setting; and, secondly, examining the processes implemented to execute the model’s overall design.Where gaps or limitations are observed, controls should be evaluated to enable the model to function effectively.This API is closely modeled after the Xml Text Reader and Xml Reader classes of the C# language.

The Four Elements Model validation consists of four crucial elements which should be considered: 1 Conceptual Design The foundation of any model validation is its conceptual design, which needs documented coverage assessment that supports the model’s ability to meet business and regulatory needs and the unique risks facing a bank.The user's code keeps control of the progress and simply calls a Read() function repeatedly to progress to each node in sequence in document order.There is direct support for namespaces, xml:base, entity handling and adding DTD validation on top of it was relatively simple.Note: If this validation feature is activated on a User Profile, it will not be applied to the current process and therefore not be immediately visible.It will only be applied to all newly created diagrams.

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