Model risk
New BoE rules could force banks to cull multiplying models
Risk Live: Model risk management to become more labour-intensive, as model definition is broadened
Bayesian backtesting for counterparty risk models
Utilising Bayesian methods, the authors put forward a new means for counterparty risk model backtesting which is both simple to implement and conceptually sound.
Risk modellers navigate fearful new world of depositor behaviour
Silicon Valley Bank suffered fastest bank run in history, but how should others respond?
Model risk management is evolving: regulation, volatility, machine learning and AI
Thomas Oliver, head of model validation at Quantifi, explores how the model risk management (MRM) landscape is changing in response to geopolitical uncertainty, increased concerns over counterparty risk, rising interest rates and other related challenges
Op risk data: Stanford fraud haunts banks for billions
Also: Helaba’s crank capital relief; TSE stock price sanction; 1MDB mauls Mudabala. Data by ORX News
US credit risk modellers prepare for life after IRB
Stress tests and economic capital calculations may not carry the same weight as Basel ratio
Bot’s job? Quants question AI’s model validation powers
But supervisors cautiously welcome next-gen model risk management
EBA: more climate risk supervisory reporting is coming
Official anticipates effort to identify climate impact on internal models, concentration risk
As interest rates surge, bankers fret over last year’s models
IRRBB modellers trying to predict client behaviour have little relevant data to fall back on
Model risk in mortality-linked contingent claims pricing
The authors investigate the influence of model risk on pricing life products and demonstrate that classical Lee-Carter-type models can be less accurate than the proposed model.
Quantification of model risk with an application to probability of default estimation and stress testing for a large corporate portfolio
This paper discusses the building of obligor-level rather than segment-level hazard rate corporate probability of default models for stress testing.
HSBC hits up rivals to strengthen US risk team
Bank hires from BNPP for US CRO and BofA for head of model risk management
ECL model forecasts are off-target, researchers find
Anticipated slowdown will be first major test for new generation of expected credit loss models
Model risk quantification based on relative entropy
This paper proposes a minimum relative entropy technique for challenging derivatives pricing models that can also assess the model risk of a target portfolio.
EU Parliament creates multiverse of SA-CCR outcomes
Some MEPs want to ease rules further than EC draft; others want return to undiluted Basel text
Covid chaos spurs on search for model risk aggregation
Many models failed in pandemic, but analysing them in clusters easier than whole-bank view
Can we take the “stress” out of stress testing? Applications of generalized structural equation modeling to consumer finance
This paper provides a practical introduction to the GSEM statistical framework in risk management, and it illustrates the game-changing potential of this methodology with two empirical applications.
Correlations in operational risk stress testing: use and abuse
The paper presents an analysis of correlation effects of economic factors on the operational risk losses of a medium-large UK retail bank, and it recommends that causal factors that effect operational risk should be identified.
Top US banks record 14 VAR breaches
JPM, Morgan Stanley, BofA, Citi, Goldman and State Street wrong-footed in volatile end to 2021
Apra’s overlay pushes CBA’s market RWAs up 30%
Market risk is at the highest level since Q4 2020
Hints on quantification approaches
Tiziano Bellini, head of risk integration competence line, international markets at Prometeia, examines the key components of successful model risk management, focusing on the importance of integration, processes, governance and IT solutions to…
Don’t follow the models: they’re lost, too – risk managers
Risk USA: managers cite Covid, repo crisis and geopolitical risks as examples of model failures
Scalability could trump complexity in machine learning debate
Risk USA: banks “on the precipice” of adopting more complex models, says Goldman exec