Model risk
The Fundamentals of market risk rules
With the 2022 Fundamental Review of the Trading Book (FRTB) deadline looming, banks are fast coming to grips with the amount of work still to be done to achieve a successful implementation
Industry-led op risk taxonomy launches
Scheme aims to complement Basel classifications, ease peer comparison
Competitive differentiation – Reaping the benefits of XVA centralisation
A forum of industry leaders discusses the latest developments in XVA and the strategic, operational and technological challenges of derivatives valuation in today’s environment, including the key considerations for banks looking to move to a standardised…
Goldman, BBVA and TD Group incur VAR breaches in Q3
US unit of TD Group endures four breaches in three months to end-September
EBA’s Campa: reduce Pillar 2 charges to offset output floor
Bankers plead for smaller capital hit and more predictability on implementation of Basel III
Trim review pumps up Commerzbank’s credit RWAs
Additional RWA increases also expected in coming quarters
Morgan Stanley, Wells not sold on AI for credit scoring
Risk USA: Lenders warn on AI model risks and use of non-traditional data
Model scrutiny depletes Santander’s capital ratio
Targeted review of internal models takes 28bp off CET1 ratio year-to-date
Quantification of the estimation risk inherent in loss distribution approach models
In this paper, the authors contribute to the measurement of model risk by focusing on the quantification of estimation risk.
Stress-testing to improve strategic decision‑making
Banking regulators remain focused on expanding and developing the range of stress-testing regimes across the globe to maintain stability, monitor emerging risks and avoid another financial crisis. Here, a forum of industry leaders discusses the evolution…
Computer says no: combating bias in machine learning models
Proposed US law on algo lending targets in-built discrimination, say modelling experts
Model risk management: from epistemology to corporate governance
In this paper, the authors conduct an analysis of model risk in an attempt to understand the main issues that lead to failures and the best way to address such issues.
Complex op risk models open to high error, study finds
Measuring 1-in-1,000 year loss events ‘unrealistic’, researchers say
State Street, Goldman push VAR limits the most
Average of largest trading losses-to-VAR at State Street above 90% over past 12 months
State Street, UBS and TD Group incur VAR breaches
Backtesting exceptions cause TD Group's and State Street's market risk capital charge multipliers to climb
Risk Technology Awards 2019: Making machines more helpful
Machine learning can be too efficient; now, vendors are looking for ways to make it more accurate. Clive Davidson looks at the stories behind this year’s Risk Technology Awards
Model risk management transformation
Financial institutions have been maturing their approaches to MRM and – as models become more complex and pervasive, and regulatory expectations continue to increase – leading financial institutions seek faster and further movement. Ashutosh Nawani, head…
BoE probes banks on machine learning use
Risk Live: watchdog wants to know “how prevalent” ML models are, say execs
Model risk managers: banking’s future VIPs
Risk Live: Machine learning models are changing the risk profile of banks, says UBS CRO
Deutsche’s stress-testing models are surprisingly accurate
DB USA's projections precisely matched the Fed’s estimates for the second year in a row
US banks improve stress test projections
Gap between internal projections and the Fed's model outputs shrinks to 118 basis points
