Fed using qualitative reviews to test compliance with SR 11-7
Content provided by IBM and Risk.net
Dealers have different approaches to pricing dividend risk factors
Ramp-up in regulatory scrutiny of model validation sees banks turn to black boxes
Smaller banks’ modelling practices under growing scrutiny, but ability to comply is stretched
Three banks say their model inventories are “a work in progress”
Risk models pulled in opposite directions by P&L attribution test and non-modellable risk factors
Clarity on model inputs may have averted Brexit chaos, FCMs claim
Incidents such as the London Whale losses show an overhaul of model validation should be welcomed, not maligned
Regime’s constraints may mean risk factors drop in and out of modellability far more frequently than dealers think
This paper studies the impact of model risk on EVT methods when determining the value-at-risk and expected shortfall.
US model risk guidance has drawbacks, but is a step towards better management of model risk
Impact of Federal Reserve and OCC model risk guidance is being felt well beyond US banks
As energy traders make greater use of big data, lessons of the past should not be forgotten
US model risk management guidelines being increasingly used by banks and regulators elsewhere
Past performance of financial models is no guarantee of future success, two forthcoming papers suggest
Greater use of models means risk "has significantly increased", says HSBC's Bhaskar
Models “play an important role in quantifying risk”, says OCC's Beth Dugan
Supervisors in mainland Europe are 'all over the map' on model validation, says Morgan Stanley's Jon Hill
Method for calculating capital based on sparse data can lead to additional model risk
This paper demonstrates how cash outflows due to credit lines can be modeled in a liquidity stress test.
Stress testing and model validation: application of the Bayesian approach to a credit risk portfolio
The authors of this paper develop a Bayesian-based credit risk stress-testing methodology.
This paper analyzes and quantifies the idea of model risk in the environment of internal model building.
Quant ideas paper dissects layers of valuation models for physical assets