Black-Scholes
Smile-consistent basket skew
An analytic approximation for the implied volatility surface of basket options is introduced
Podcast: Julien Guyon on volatility modelling and World Cup draws
Academic discusses option pricing, path-dependent volatility and tackling FIFA’s statistical bias
Pricing options using expected profit and loss measures
The authors investigate the pricing of options using an EP-EL approach, finding that this methodology generates large amounts of useful information for option traders.
Getting the jump on pricing dividend-protected derivatives
Morgan Stanley quants show how to avoid mispricing corporate options and convertible bonds
The contractual dividend bleed
Models for dividend protected options need to compensate for valuation mismatches
Deep hedging: learning to remove the drift
Removing arbitrage opportunities from simulated data used for training makes deep hedging more robust
Podcast: UBS’s Gordon Lee on conditional expectations and XVAs
Top quant explains why XVA desks need a neighbour and a reverend
What is the volatility of an Asian option?
An adjustment for the volatility smile in Asian options is proposed
Rough volatility’s steampunk vision of future finance
Some of the trickiest puzzles in finance could be solved by blending old and new technologies
Penalty methods for bilateral XVA pricing in European and American contingent claims by a partial differential equation model
Under some assumptions, the valuation of financial derivatives, including a value adjustment to account for default risk (the so-called XVA), gives rise to a nonlinear partial differential equation (PDE). The authors propose numerical methods for…
The volatility paradigm that’s stirring up options pricing
‘Rough volatility’ models promise better pricing and hedging of options. But will they catch on?
Deep hedging strays when volatility gets rough – study
In the most realistic simulations, data-driven approach fared 30% worse than conventional hedging
Nowcasting networks
The authors devise a neural network-based compression/completion methodology for financial nowcasting.
Ex-SunGard chief Cris Conde’s random walk to fintech and beyond
Technologist talks artificial intelligence, angel investing and accidentally contributing to the Basel framework
A step closer to the perfect volatility model
Research on ‘rough volatility’ gives fresh insight into financial fluctuations, quant expert explains
Finding the nearest covariance matrix: the foreign exchange market case
The authors consider the problem of finding a valid covariance matrix in the foreign exchange market given an initial nonpositively semidefinite (non-PSD) estimate of such a matrix.
Valuing scenarios with real option pricing
Risk managers could use Black-Scholes to help drive strategy, writes René Doff
A positive response to negative oil prices
Overhauling pricing models could reap rewards even if prices don’t cross zero again
A tale of two (or three, or four) models
Performance measure based on quality of replicating portfolios outperforms ‘P&L explain’, new paper claims
Quantifying model performance
Quality of replicating portfolio is used to measure performance of a model
Bachelier – a strange new world for oil options
Model tuned to negative prices has implications for pricing, margining and delta hedging
CME was ill-prepared for negative oil prices, FCMs say
Bourse draws criticism over timing of options model change; delay in sending key margin file
Three adjustments in calibrating models with neural networks
New research addresses fundamental issues with ANN approximation of pricing models
Pricing American call options using the Black–Scholes equation with a nonlinear volatility function
In this paper, the authors investigate a nonlinear generalization of the Black–Scholes equation for pricing American-style call options, where the volatility term may depend on both the underlying asset price and the Gamma of the option.