About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Pricing Partners Implements Double-Heston Model for its Equity Module

Subscribe to our newsletter

Pricing Partners announced today a state-of the art stochastic volatility model, the Double-Heston Model, to be implemented for its Equity, FX and Commodity Module to enrich its Price-it Library. Based on the Heston Model generated by Steven Heston, Double-Heston Model is identified as an extension committed to forecasting a more flexible approach to model the stochastic variance.

Stochastic volatility models have replaced Black-Scholes model since they are able to generate a volatility smile. However, standard models fail to capture the smile slope and level movements. The Double Heston Model is able to model the asset diffusion with two independent variance and processes. In this implementation, Double-Heston Model is calibrated thanks to a differential evolution (for global optimisation) and Levenberg Marquardt (for local optimisation) algorithm, leading to a significantly improved market fit. Indeed, this model can cope with very stiff volatilities skews and is more robust in calibration than the single Heston. As for the Monte-Carlo diffusion, Pricing Partners has invented a new fast Quadratic Exponential scheme derived from the one of Andersen done for the simple Heston. This numerical scheme converges very rapidly. A technical paper can be downloaded on the SSRN website.

Pierre Gauthier, financial engineer, comments: “Together with Dylan, we have performed extensive numerical tests with the Double Heston. We have fine tuned numerical parameters so that Double Heston model works at its best. Thanks to the newly implemented differential evolution, Double Heston model has a close fit to the implied volatility surface. Besides, Monte Carlo simulation is very efficient thanks to a fast converging numerical scheme.”

Eric Benhamou, CEO of Pricing Partners, adds: “At Pricing Partners, we are constantly improving our pricing models to better capture and model risk. The double Heston is a masterpiece and provides a very accurate modeling of volatilities skew. This is quite valuable for equity, indexes and funds derivatives products revaluation as initial strikes that were initially close to the At The Money strikes are now very off and are relying on the underlying assumption of the volatility on the tails. The double Heston model provides very accurate interpolation/extrapolation of the volatility smile and hence gives reliable and accurate valuation. In addition, it strengthens even more our position of the leading provider of cutting edge pricing models and analytics.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

Risks and Opportunities of GenAI, Data Products Under the Microscope: DMS London Preview

Artificial intelligence has made it possible to extract critical data from unstructured sources at speed and at scale. But the headlong rush to adopt the sorts of tools that can mine this rich vein of information is exposing organisations to new risks. Generative AI, whose models are commonly applied to trawling PDFs, emails, financial reports...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...