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
Quants are key to judicious ESG
Meaningful data analysis critical to future of socially responsible investing, writes Antonia Lim
Don’t blame HFT: plug liquidity gaps for market stability
Dynamic fees could incentivise liquidity when and where it’s most needed, writes quant fund founder Bouchaud
CCP discounting big bang: convexity adjustment
The collateral transition to SOFR will create convexity adjustments that need to be modelled
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
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: CFM’s Bouchaud on agent-based models and ESG investing
Podcast: Dario Villani on managing money with ML
Comment
Quants are key to judicious ESG
Don’t blame HFT: plug liquidity gaps for market stability