Human overseers are in short supply in an arena where losses can be crippling in minutes
Banks cannot blame developers or vendors for faulty machine learning models, says regulator
This paper seeks to shed light on one critical area of such frameworks: model risk tiering, or the rating of risk inherent in the use of individual models, which can benefit a firm’s resource allocation and overall risk management capabilities.
TD Bank losses on one day exceeded VAR estimate by 195%
Banks surveyed by the ECB had an average of 32 issues with their market risk models
Trim effects add €1.3 billion of RWAs in Q1
Bayesian analysis can replace forest with a single, powerful tree, writes UBS’s Giuseppe Nuti
Decades, not years, of credit losses required for accurate risk modelling, argues expert
This paper's aim is twofold: to introduce a mathematical framework that is sufficiently general and sound to cover the main areas of model risk, and to illustrate how a practitioner can identify the relevant abstract concepts and put them to work.
Research finds two out of three methods for checking index prices as proxies don’t properly gauge tail risk
In this paper, the author's aim is to empirically analyze the numerical quantification of model risk, yielding exact buffers in currency amounts (for a given model uncertainty).
The final quarter of 2018 saw a record number of VAR breaches at the biggest US banks
Oxford-Man Institute director on why tomorrow’s models will gracefully admit defeat
ML model outputs open to “potential bias sitting in your datasets”, says RBS model risk head
Quant grads should be taught follies of LTCM, Gaussian copula and London Whale, writes UBS’s Gordon Lee
Two of 17 firms facing follow-up inspections will be hit by capital add-ons
Over two-thirds of fair value assets priced using banks' models
Supervisors drive banks to seek more corporate default data and cost-effective model improvements
Bank appoints Credit Suisse veteran to key role
BNP Paribas capital multiplier increases on seventh breach in nine months
There is no concord on how banks should police their model risk. But two Fed economists have an idea
Speech raises explainability issue; says existing model risk guidelines are “a good place to start” in regulating AI