Model validation
Stress-testing: still worth the stress?
There may be more efficient ways to assess if banks are misjudging their risks
Deploying agile analytics in the fight against fraud
Financial firms are under pressure to tackle the widespread problem of financial fraud. As the speed, scale and sophistication of fraudulent activity grows, a panel of financial crime experts reveal how firms can develop an agile analytics capability to…
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…
Model risk managers: banking’s future VIPs
Risk Live: Machine learning models are changing the risk profile of banks, says UBS CRO
EU’s model study finds problems with bank VAR methods
Banks surveyed by the ECB had an average of 32 issues with their market risk models
Not random, and not a forest: black-box ML turns white
Bayesian analysis can replace forest with a single, powerful tree, writes UBS’s Giuseppe Nuti
Models need longer datasets to handle economic cycles – research
Decades, not years, of credit losses required for accurate risk modelling, argues expert
Quants propose new method of calculating op risk VAR
So-called ‘incremental value-at-risk’ offers future snapshot of op risk exposure, authors say
Making technology count in a C/ETRM world
As businesses grow, so does their need for modern, agile and cost-effective commodity/energy trading risk management (C/ETRM) solutions. Pioneer Solutions explores how its next-generation, highly configurable C/ETRM systems take advantage of the latest…
Dealers seek clarity on buy-side IM relief
Hundreds of buy-side firms may still need to calculate margin and get models approved
EU banks punished over lowball credit risk estimates
Two of 17 firms facing follow-up inspections will be hit by capital add-ons
Pooled resources offer way to keep credit models afloat
Supervisors drive banks to seek more corporate default data and cost-effective model improvements
HSBC hires new head of model validation
Bank appoints Credit Suisse veteran to key role
Data shortage hits margin models for Asia banks
Thin trade volumes in local derivatives threaten to undermine key tests for initial margin models
Humans struggle to keep pace with machine learning
Banks and regulators grapple with ‘XAI’ challenge
Compliance preparations amid uncertain rules
A forum of industry leaders discusses how banks will define individual trading desks under FRTB, whether BCBS 239 compliance projects can help banks meet FRTB risk data challenges, which model validation obstacles banks still face and other key topics
Quant drought hits banks and funds in Asia
Limited pool of talent hindering expansion of sophisticated strategies across buy and sell side
A call to arms – How machine intelligence can help banks beat financial crime
The revolution in artificial intelligence promises new leads in banks’ fight against dirty money. Alexander Campbell of Risk.net hosted a live online forum, in association with NICE Actimize, to investigate the applications of this emergent technology
Optimal allocation of model risk appetite and validation threshold in the Solvency II framework
In this paper, the authors derive an analytical solution for sub-SCR VTs starting with a model risk appetite (MRA) that defines acceptable errors for an insurer’s total SCR.