Modelling
Gaming tests, loss provisions and synthetic Libor
The week on Risk.net, September 28–October 4, 2019
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…
Libor transition and implementation – Covering all bases
Sponsored Q&A
Backtesting expected shortfall: mission accomplished?
A rigorous backtest for ES cannot exist, but a good approximation might do the job
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
2022 – A market risk odyssey
Though January’s final version of FRTB offered no great surprises to those who have followed the regulation since its inception, banks now have a greater idea of what is required of them. Bloomberg explores the importance for banks to have FRTB…
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…
Risk and finance – Better together
Changing regulations and new accounting standards are creating enormous challenges for financial organisations. Thorsten Hein, principal product marketing manager, risk research and quantitative solutions at SAS, explores why, to successfully meet these…
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…
Ice, CME set to launch new VAR models in early 2020
Bourses plan to switch margining of energy futures at different times, prompting speculation of “arbitrage opportunities”
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