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

A-Team Insight Blogs

Pricing Partners Upgrades its Hybrids Module to Determine the Volatility Bias

Subscribe to our newsletter

Pricing Partners announced today that the award winning Price-it solution enhanced its derivatives pricing library to compute automatically volatility bias due to stochastic interest rates in hybrids models.

In a single asset equity (or fx or commodity) model that uses a stochastic interest rates, there is some additional volatility created by the stochastic drift. Hence, one cannot calibrate a single asset equity (or fx or commodity) model based on deterministic interest rates and use the resulting model parameters when combined with a stochastic interest rates model.

Leveraging some works published by Benhamou, Gruz and Rivoira and by Benhamou, Gobet and Miri, Pricing Partners’ solution can compute the correction thanks to stochastic interest rates in a hybrid model. This methodology has also been extended to other single asset models like Heston, Piterbarg, Andersen or SABR models to provide the first commercial truly generic hybrid engine.

Eric Benhamou, CEO of Pricing Partners comments: “Pricing Partners’ solution goes one step beyond anything done previously on hybrid modeling as it allows combining any single asset model with stochastic interest rates, accounting accurately for the bias due to stochastic interest rates. This is the ideal feature for users when pricing long dated deals where the bias is not negligible at all.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities of public and private clouds. They have also been motivated by the need to modernise their...

BLOG

Data Quality Meaning and Importance Transformed by AI: DMS NYC Preview

The data management space has been transformed by artificial intelligence into one that not only seeks to prise maximum value from institutions’ data but also spends almost as much resource ensuring the quality of that information. Without optimised data, the AI and agentic tools to which it is deployed will churn out sub-optimal results. It’s...

EVENT

Digital Assets & Tokenisation Briefing, New York

A-Team Group’s Digital Assets & Tokenisation Briefing assembles an exclusive group of CxOs and senior technology innovators. These leading market practitioners and infrastructure providers are collectively building the digital rails and decentralised networks that will power Wall Street 2.0.

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...