Articles by Mauro Cesa
Quants dive into FX fixing windows debate
Longer fixing windows may benefit clients, but predicting how dealers will respond is tough
Podcast: Piterbarg and Nowaczyk on running better backtests
Quants discuss new way to extract independent samples from correlated datasets
The curious case of the revealing orders
Oxford academics have found evidence pointing to collusion on a European exchange, but market-makers aren’t wholly convinced
BofA quants propose new model for when to hold, when to sell
Closed-form formula helps market-makers optimise exit strategies
The post-Archegos risk model rebuild begins… slowly
Following regulatory prodding, banks start to overhaul counterparty risk models. A flurry of new research on the topic may aid the effort
Podcast: Alvaro Cartea on collusion within trading algos
Oxford-Man Institute director worries ML-based trading could have anti-competitive effects
Podcast: Lorenzo Ravagli on why the skew is for the many
JP Morgan quant proposes a unified framework for trading the volatility skew premium
Counterparty risk model links defaults to portfolio values
Fed’s Michael Pykhtin proposes using copula models to capture effects of margin calls on default risk
Podcast: Olivier Daviaud on P&L attribution for options
JP Morgan quant discusses his alternative to Greeks decomposition
Filling gaps in market data with optimal transport
Julius Baer quant proposes novel way to generate accurate prices for illiquid maturities
Georgios Skoufis on RFRs, convexity adjustments and Sabr
Bloomberg quant discusses his new approach for calculating convexity adjustments for RFR swaps
A dynamic margin model takes shape
New paper shows how creditworthiness and concentrations can be reflected into margin requirements
How HSBC got better at pricing share buy-backs
Monte Carlo approach generates faster, more reliable pricing for complex deals
AI model uses quantum maths to learn like a human
Could the next big breakthrough in machine learning come from the world of finance?
How to account for banks’ contribution to CO2 emissions
Price adjustments will depend on individual counterparties’ carbon footprints
Exploiting causal biases in market impact models
Model calibration gains efficiency by including biased but adjusted trading data
Skew this: taking the computational burden off basket options
Dan Pirjol presents a snap formula for estimating implied volatility skew in an instant
Podcast: Artur Sepp on rates volatility and decentralised finance
Quant says high volatility requires pricing and risk management models to be revisited
Podcast: Julien Guyon on volatility modelling and World Cup draws
Academic discusses option pricing, path-dependent volatility and tackling FIFA’s statistical bias
How a machine learning model closed a hidden FX arbitrage gap
MUFG Securities quant uses variational inference to control the mid volatility of options
Into the quantiverse: real-world pricing goes arbitrage-free
QRM quants claim to have bridged divide across ‘multiverse’ of fixed-income models
Optical computer beats quantum tech in tricky settlement task
Microsoft’s analog technology twice as accurate compared to IBM’s quantum kit in Barclays experiment
A three-point turn in derivative design
Citibank quant’s triangle method allows information geometry to be applied to hedge structuring
Podcast: Jan Rosenzweig on fat tails and LDI portfolios
An optimised portfolio can look very different when extreme moves are given more weight