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Fed could postpone stress buffer beyond CCAR – experts
Delays prompt speculation that new rules will only be known after stress-test results in June
Quant Guide 2020: top programmes lean on alumni networks
For top schools, some of the most important students are the ones that have already graduated
BNP leads a comeback for Europe’s clearers
Brexit, leverage ratio tweaks and concentration fears could help European banks compete with US FCMs
Latest
Quotes
You have about a 48-hour window to report if – to be blunt – you’re to have any possibility of getting your money back. It’s highly unlikely afterwards
The FBI’s Richard Jacobs urges banks to swallow their pride and notify the Bureau’s IC3.gov reporting service immediately when they suffer a business email compromise attack
He looked at me and said: ‘I’ve got no idea what’s going on in this business. All I get is phone calls from people asking for more capital, and I don’t know why’
MarketAxess CRO Oliver Huggins recalls an early meeting with a senior director at insurer Prudential during his time as the firm’s risk lead
The firm that merges decadal climate models into traditional stochastic nat models will be the winner. They will be able to say, ‘We can attribute X storm, X flood to climate change,’ and the modelling would support it. It’s a trillion-dollar question.
Alison Martin, CRO at Zurich, on the industry’s struggles to accurately predict climate change-induced extreme weather events
Editor's Choice
Quant Finance Master’s Guide 2020
Risk.net’s guide to the world’s leading quant master’s programmes, with the top 25 schools ranked
Big Figure
Weathering the storm(s)
The difficulty of modelling natural catastrophes is getting more extreme with the march of climate change. Across the five largest loss events from 2018, average losses estimated by the market’s two largest providers of cat models – AIR ($15.75 billion) and RMS ($12.75 billion) – were roughly 65% below the true average loss figure of $40.3 billion.
Read the full article7 days in 60 seconds
AI in practice, EU clearing and post-Libor hedging
The week on Risk.net, February 8–14, 2020
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No silver bullet for AI explainability
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