Investments
Trading the vol-of-vol risk premium
Applications of the vol-of-vol parameter for cross-asset derivatives are presented

Asset allocation with inverse reinforcement learning
Using reinforcement learning to help replicate asset managers' allocation strategy

Sculpting implied volatility surfaces of illiquid assets
From the stock cumulative distribution function an arbitrage-free volatility surface is derived

Linking performance of vanilla options to the volatility premium
A framework to account for vanilla options' performance in trading strategies is presented
Optimal turnover, liquidity and autocorrelation
A novel optimal execution approach via continuous-time stochastic processes is introduced
Automated market-making for fiat currencies
A framework to exchange fiat currencies on-chain consistently with off-chain prices is presented
Liquidity stress-testing using optimal portfolio liquidation
A methodology to derive liquidation costs and times in OTC markets is proposed
Fat-tailed factors
Independent component analysis is proposed as an alternative to principal component analysis
Nonlinear risk decomposition for any type of fund
A risk decomposition by fund manager, factor or instrument is proposed
A principled approach to clean-up costs in algo trading
The opportunity cost associated with the cancelled portion of an order is quantified
Goal-based wealth management with reinforcement learning
A combination of machine learning techniques provides multi-period portfolio optimisation
Impact of hedging strategies on variable annuities
Put options may reduce the cost of hedging strategies for insurers
Zooming in on equity factor crowding
A measure for crowding in trades is derived from supply and demand imbalances
Time to move on from mean-variance diversification
A new diversification measure appears to produce better results than mean-variance optimisation
Equally diversified or equally weighted?
New diversification measure enables construction of equally diversified portfolios
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
Spotting co-movement breakdowns with neural networks
Autoencoders can detect changes in relationship between assets in real time
Detecting changes in asset co-movement using autoencoders
ARR aims to anticipate volatility patterns to provide signals for risk management and trading
A closed-form solution for optimal mean-reverting strategies
The heat potentials method is used to find the optimal profit-taking and stop-loss levels
Stay ahead of the fixing lag
The price of fund-linked derivatives depends on the fixing lag of the underlying funds
A triptych approach for reverse stress testing of complex portfolios
Pascal Traccucci et al present an extended reverse stress test triptych approach with three variables
Forecasting value-at-risk
Alvin Stroyny and Tim Wilding build a dynamic risk framework for multi-asset global portfolios
Beyond Markowitz with quantum annealing
Venturelli and Kondratyev use quantum annealers to optimise portfolios
Tying allocation to selection
Hamza Bahaji introduces a new approach to core-satellite investing, the compound portfolio insurance