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Abstract
The author argues that not only did the quantitative models utilised by many banks miss an ‘extreme’ risk event in the subprime crisis, but more generally overreliance on quantitative methods using market data seems to have blinded market participants and regulators to the obvious risks inherent in a business model for financial institutions focused on originating and trading assets for which there is little or no specific information. In view of the failure of quantitative models, the author uses the example of public data benchmarks for the top-level factors of Basel II to suggest that it is possible to create risk-sensitive estimates of economic capital and the other factors defined in Basel II without the use of quantitative models employing market data.
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Author's Biography
Christopher Whalen is co-founder and managing director of Institutional Risk Analytics, a Los Angeles provider of customised financial analysis and valuation tools for risk managers, auditors and other financial professionals. He volunteers as a regional director of the Professional Risk Managers International Association.
Citation
Whalen, Christopher (2008, March 1). An empirical approach to Basel II. In the Journal of Risk Management in Financial Institutions, Volume 1, Issue 2. https://doi.org/10.69554/NBEL8931.Publications LLP