Articles by Mauro Cesa
Getting the jump on pricing dividend-protected derivatives
Morgan Stanley quants show how to avoid mispricing corporate options and convertible bonds
A new way to calculate conditional expectations
Gaussian distributions can sharpen one of the most commonly used tools in quant finance
Podcast: Ritter on optimal execution and reinforcement learning
Hedge fund quant describes a simple rule of thumb for portfolio turnover
Reviving the lost art of perturbation for exotic pricing
Natixis quants find novel way to speed up volatility smile modelling
Podcast: Lipton on (un)stablecoins and FX market-making
Veteran quant has long warned about fundamental flaws in algorithmic stablecoins
How to model potential exposure, post-Archegos
BofA quant’s model considers the correlation between market shocks and counterparty defaults
A look at asset liquidation from a different angle
Quants propose a novel approach to assess liquidation cost and stress-testing for hard-to-sell assets
Deep hedging pioneer Hans Buehler quits JP Morgan
Former global head of equities analytics will be joining XTX Markets
Kurtosis optimisation gives portfolios a shock absorber
Hedge fund quant shows how an alternative to PCA makes risk management more robust
Podcast: Hans Buehler on the data science behind deep hedging
Top JP Morgan quant stresses importance of ‘de-trending’ training datasets used in machine learning
Podcast: UBS’s Gordon Lee on conditional expectations and XVAs
Top quant explains why XVA desks need a neighbour and a reverend
Rough volatility moves to exotic frontiers
New simulation scheme clears the way for broader application of the rough Heston model
JP Morgan testing deep hedging of exotics
Neural network trained to hedge complex options using simulated data expected to go live this year
What quant finance can learn from a 240-year-old problem
Optimal transport theory offers a data-driven way to calibrate derivatives pricing models
Podcast: Matthew Dixon on decomposition of portfolio risk
New approach calculates contributions to value-at-risk for nonlinear portfolios
Podcast: Man Group’s Zohren on forecasting prices with DeepLOB
Deep learning model can project prices around 100 ticks into the future
Follow the moneyness
Barclays quants extend Bergomi’s skew stickiness ratio to all strikes
Estimating loan loss provisions may have just got easier
Commerzbank quant proposes shortcut to calculate lifetime loan loss reserves
Podcast: Antonov on pricing not-so-vanilla rates products
New model makes it easier to coherently price correlated derivatives
‘Signatures’ promise quants a tool for all jobs
Little-known mathematical technique could find applications from pricing options to sniffing out alpha signals
An ‘optimal’ way to calculate future P&L distributions?
Quants use neural networks to upgrade classic options pricing model
After Archegos, a bigger role for XVA desks?
Credit Suisse has stalled on call to expand XVA remit; others think it would have helped, but disagree on how
Podcast: turbo-charging derivatives pricing
Quants achieve more speed by reducing number of dimensions in price calculations
Machines can read, but do they understand?
A novel NLP application built on a Google transformer model can help predict ratings transitions