Modelling
When climate risk starts to bite
Energy firms under increased pressure to assess physical climate risk
IFRS 9 flings loan-loss provisions haphazardly higher
Under the standard, cash piles for bad loans were expected to ramble. Just not quite so much
Computer says no: combating bias in machine learning models
Proposed US law on algo lending targets in-built discrimination, say modelling experts
Looking forward to backward‑looking rates
Interbank offered rates are critical in the world of contracts and derivatives, acting as reference rates in millions of financial contracts and with a total market exposure in the hundreds of trillions of dollars. Bloomberg explores why offering…
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…
The great migration: CCPs ponder life after Span
As CME moves to a value-at-risk methodology, CCPs that license its model look on nervously
Q&A: CFTC’s Behnam on tackling market risk in climate change
Commissioner wants to see new derivatives products to help mitigate climate threat
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
Resampling ‘slashes’ credit risk VAR underestimates
Academics claim Vasicek model’s underestimation tendency can be slashed to near-zero
How AI could tear up risk modelling canon
BlackRock, MSCI, LFIS among firms looking to replace traditional, linear risk models
A tech-driven transformation
A panel of experts explores how greater collaboration between risk and finance teams can garner significant benefits and add value, how technological innovation is making the regulatory landscape more complicated to navigate and produce transformative…
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
ABA scenario analysis project could aid CCAR comparability
Scheme to agree on common risk drivers could help Fed benchmark risk exposures, says JP op risk expert
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
Fire sales turn a crash into a crisis, simulation shows
‘More realistic’ core-periphery model leads to wipeout of network if several nodal banks default
