- Markus Breitenbach - http://blog.markus-breitenbach.com -
Adversarial Scenarios in Risk Mismanagement
Posted By Markus On January 11, 2009 4:31 pm @ 4:31 pm (January 11, 2009) In Predictive Modeling, Society, Statistics, Data Mining, Machine Learning | No Comments
I just read another article discussing weather [1] Risk Management tools had an impact on the current financial crisis. One of the most commonly used risk management measures is the [2] Value-at-Risk (VaR) measure, a comparable measure that specifies a worst-case loss for some confidence interval. One of the major criticisms is (e.g. Nassim Nicholas Taleb, the author of [3] the black swan) that the measure can be gamed. Risk can be hidden “in the rare event part” of the prediction and not surprisingly this seems to have happened.
Given that a common question during training with risk assessment software is “what do I do to get outcome/prediction x” from the software it should be explored how to safeguard in the software against users gaming the system. Think detecting multiple model evaluations with slightly changed numbers in a row…
Edit: I just found an instrument implemented as an Excel Spreadsheet. Good for prototyping something, but using that in practice is just asking people to fiddle with the numbers until the desired result is obtained. You couldn’t make it more user-friendly if you tried…
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URL to article: http://blog.markus-breitenbach.com/2009/01/11/adversarial-scenarios-in-risk-mismanagement/
URLs in this post:
[1] Risk Management tools had an impact on the current financial crisis: http://www.nytimes.com/2009/01/04/magazine/04risk-t.html?_r=2&pagewanted=pri
nt
[2] Value-at-Risk (VaR) measure: http://en.wikipedia.org/wiki/Value_at_risk
[3] the black swan: http://en.wikipedia.org/wiki/Black_swan_theory
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