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
Interpretability of neural networks: a credit card default model example
Recently developed techniques aimed at answering interpretability issues in neural networks are tested and applied to a retail banking case
Podcast: Andrew Dickinson on CCPs’ defence mechanisms
Trades’ size limits, membership rules and more transparency key to avoid another CCP default
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
The homotopy analysis method for derivatives pricing under wrong-way risk
Derivatives pricing is approximated with a computationally efficient homotopy-based application that accounts for WWR
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: Andrew Dickinson on CCPs’ defence mechanisms
Podcast: Mats Kjaer on how trades affect the balance sheet
Comment
Small, speculative clearing members – are they worth the risk?
Degree of influence: Regulatory policies drive quantitative research