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Abstract
This paper steps back from the focus on model risk in isolation and instead looks at the analytical infrastructure and operational environment in which models operate. Visualisation using analytical infrastructure diagrams provides a much quicker and more comprehensive understanding of the state of complexity of model dependencies and propagation of risk than textual documentation. Benefits of diagramming include knowledge sharing, a byproduct of identifying the true path of model risk and the environs through which it travels. Another benefit is identifying what and where are the analytical tools that mitigate or amplify the model risk downstream. Finally, the diagram provides a unique perspective to gauge whether the model-based production chain that feeds the business is unnecessarily complex or inefficient, or contains crucial gaps or redundancies.
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Author's Biography
James Barrett amassed information flow expertise by designing procedures for an airline; designing fixed income valuation software and data repositories for a bank; sourcing data, designing data flow infrastructure, and depicting model risk propagation for an insurance company. His work illustrates that each tool is interdependent within the whole and that the sourcing and distributing of information is the bloodstream integrating the whole. James leads the Enterprise Risk Management (ERM) Model Topology team at AIG.
Citation
Barrett, James (2018, February 1). Visualisation of model risk propagation. In the Journal of Risk Management in Financial Institutions, Volume 11, Issue 1. https://doi.org/10.69554/MFVZ2209.Publications LLP