Risk scenarios
Market scenario generator of the year: Conning
Conning wins Market scenario generator of the year at the Markets Technology Awards 2026 for its GEMS simulation platform
Information geometry of risks and returns
An innovative product design framework and its geometric interpretation is introduced
Market scenario generator of the year: Conning
Conning’s GEMS economic scenario generator allows financial services firms to test business models and investment strategies against a wide variety of economic conditions for portfolio and risk management
Ukraine nuclear scenarios: black enough for you?
A nuclear strike on Ukraine would open the door to the pit; our readers guessed how markets would fare, with surprising results
US midterm election scenarios: a fright after Halloween
Republican control of Congress could deal “a sharp shock to markets”, analysis suggests
Interest rate scenarios: skinny-dipping with the Fed
As US rates march upwards, Risk.net readers offer deeply diverging forecasts on the impact for markets through to 2024
Inflation scenarios, pt II: end of the party
Whether inflation rises or falls, crowdsourced scenarios forecast huge range of outcomes
Climate scenarios: carbon price shock sees asset prices slump
Crowdsourced scenario analysis suggests very few sectors safe from a post-COP carbon price pop
Inflation scenarios: tail risks loom for US equities
Portfolios could lose more than one-third of their value if inflation stays high, suggests crowdsourced scenario exercise
US election scenarios: meltdown fears if poll contested
Crowdsourced election scenarios show sharp falls and correlation breaks if Trump challenges results
Covid scenarios, pt II: apocalypse how?
Second crowdsourced scenario exercise reveals polarised views in equities and FX
Covid scenarios: finding the worst worst-case
As pandemic trashes historical data, a Risk.net tie-up with Ron Dembo’s new outfit tests promise of polling
Q&A: Ron Dembo on crowd-spotting black swans
Veteran quant argues large groups are better at gauging extreme uncertainty than small teams of experts