Model risk
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
Keeping the robots honest
Human overseers are in short supply in an arena where losses can be crippling in minutes
Business lines must answer for ML biases – OCC’s Dugan
Banks cannot blame developers or vendors for faulty machine learning models, says regulator
Machine learning governance
The ability of machine learning models to read great quantities of unstructured data, spot patterns and translate it into actionable information is driving a significant uptake in the technology. David Asermely, SAS MRM global lead, highlights the need…
