Fat tails
Podcast: Fabrizio Anfuso on computing for Archegos-like event exposures
BoE quant discusses top-down counterparty risk framework using Gaussian distributions and copulae
Fat tails and optimal LDI portfolios
A portfolio optimisation technique for pension funds and insurance portfolios is presented
Inflation scenarios, pt II: end of the party
Whether inflation rises or falls, crowdsourced scenarios forecast huge range of outcomes
How to model potential exposure, post-Archegos
BofA quant’s model considers the correlation between market shocks and counterparty defaults
Fat-tailed factors
Independent component analysis is proposed as an alternative to principal component analysis
Buy side turns to extreme value theory to spot tail risks
Asset managers reappraise decades-old technique to gauge downside risks amid fears of volatile 2022
Don’t follow the models: they’re lost, too – risk managers
Risk USA: managers cite Covid, repo crisis and geopolitical risks as examples of model failures
Prudential CRO: markets haven’t priced in tail risks
Risk USA: distribution of extreme outcomes “has gotten broader and wider”, says Nick Silitch
How to trade like the investor who made $1bn in a day
Mark Spitznagel won’t reveal how he made a 4,144% return, but he does discard plenty of rival trades
The Fundamental Review of the Trading Book and fat tails
Conservative capital buffers may not be enough to protect against tail events
Podcast: CFM’s Bouchaud on agent-based models and ESG investing
Hedge fund quant, and Risk.net’s new columnist, shares his unique take on markets
To make sense of complex systems, send in the agents
Standard quant models cannot comprehend a radically complex reality, writes Jean-Phillippe Bouchaud
Small, speculative clearing members – are they worth the risk?
CCPs need new tools to scrutinise their members, for everyone’s good health
One bad apple: default risk at CCPs
One clearing member's disproportionately large position increases the credit risk for all CCP members
Dark materials: how one academic is delving into data
David Hand shines a light on dark data and the dangers of distortion by absence
Forecasting value-at-risk
Alvin Stroyny and Tim Wilding build a dynamic risk framework for multi-asset global portfolios
Funding and credit risk with locally elliptical portfolio processes: an application to central counterparties
In this paper, the authors extend the scaling approach of Andersen et al (2017a) from a model driven by Brownian motion to one driven by an arbitrary isotropic Lévy process.
Keep it real: tail probabilities of compound distributions
Igor Halperin proposes new approach to compute probabilities of heavy-tailed distributions
A review of the state of the art in quantifying operational risk
In this paper, the authors provide a comprehensive review of the different approaches developed to model operational risk, specifically focusing on the actuarial approach.
Climate change is the fattest tail risk of them all
Casting doubt on science is an unwise risk management strategy