Cutting Edge is the quantitative finance section of Risk.net.
It publishes exclusive peer-reviewed papers selected for their originality, relevance and applicability to financial markets.
It also publishes podcasts with leading quants on the most topical issues, and comments from practitioners and our editorial team.
Latest Cutting Edge
Exploiting causal biases in market impact models
Model calibration gains efficiency by including biased but adjusted trading data
Getting more for less: better A / B testing via causal regularisation
A causal machine learning algorithm is used to estimate trades’ price impact
Analytic risk-free rates option pricing with smile and skew
An arbitrage-free short-rate model for backward-looking compounded rates is presented
Skew this: taking the computational burden off basket options
Dan Pirjol presents a snap formula for estimating implied volatility skew in an instant
Smile-consistent basket skew
An analytic approximation for the implied volatility surface of basket options is introduced
Investments
Research papers on the buy-side industry, providing quantitative solutions for portfolio management, trading, machine learning applications for investment firms
Banking
Research papers on the derivatives business, banks’ risk management, machine learning applications for dealers
Podcasts
Podcast: Artur Sepp on rates volatility and decentralised finance
Podcast: Julien Guyon on volatility modelling and World Cup draws
Comment
Exploiting causal biases in market impact models
Skew this: taking the computational burden off basket options