Risk Management A Differential Diagnosis: Comments
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http://www.asymptotix.eu/content/risk-management-differential-diagnosis
This paper is an examination of the context and management of two types of Complex Data Set clients. Supervisors should have their own model of Transparency Requirements to have consistency and make all the banks use it. Then everything would be comparable and Basel II Pillar 3 disclosures might actually tell us something about the quality of a bank's loan book.
In short this paper is calling for
- Standardised methodology for benchmark accounting and
- standardised reporting (including risk measurements),
- ultra fast technology for transparency and
- visibility of data,
- controlled compliance and regulation,
- MDE environments for quants, data quality, granularity and management,
- buy not make wherever possible providing economies and consistency and shortening implementation cycles,
- supporting transparency of assets in wholesale credit markets,
- it's a no-brainer really!
Are the key legislative pillars such as Basel II & III, UCITS IV and Solvency II forcing you to re-examine how you identify, measure and manage risk and capital?
Is the goal of your website to sell services or products, educate, or collect data?
Comments
Exchange Traded Everything - ISBIS 2010
The biennial international conference of the International Society for Business and Industrial Statistics
Grand Hotel Bernardin, St. Bernardin, Adriatic Resort & Convention Center
Portoroz (Portorose), Slovenia, July 5 - 9, 2010
Presentation by J A Morrison Asymptotix
You can download the presentation here - be careful it is a large file (5Mb)
Deployments Factory: Differential Diagnosis
Regarding the transparency, from our experience, in large and complex dataset such as these used in financial institution the users do not actually care about the use of "default values" that are used for missing or wrong parts of dataset.
As Mr Regulator always assign "penalties" to the use of default values and as the systems do not systematically log the use of a default value or do it in various systems, it's becoming exponentially complex to define to part of the dataset that uses values per default... and generate additional penalties that could be reduced by increasing the quality of the data. Sometimes materiality of this portofolio can be as big as a 2 digits percentage.
Thibaut De Vylder
CEO Deployments Factory