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

A-Team Insight Blogs

Pricing Partners Offers New Methods to Generate Large Volatility Surface for Thomson Reuters Market Data Users

Subscribe to our newsletter

Pricing Partners, the world leader in OTC derivatives pricing analytics, mathematical models and independent valuations, announced today that its award winning Price-it has been upgraded to provide analytical tools to compute large volatility surfaces from option data provided by Thomson Reuters 3000 Xtra or Eikon solution.

Indeed, one of the difficulties when pricing structured products is a lack of large volatility surfaces on equity, fx or commodity products. Leveraging the Gatheral smoothing method, Pricing Partners solution enables its end-users to generate reliable and large volatility surfaces. The firm benchmarked successfully its ‘synthetic’ market data with real market data. These new analytical tools are shipped with Price-it Excel and allow creating volatility surfaces from strikes 10% to 200% and maturities up to 30 years.

Eric Benhamou, CEO at Pricing Partners comments: “Some of our clients were struggling to find accurate market quotes when pricing equity, fx or commodity products. We are contributing our efforts to find the best analytical tools to do better and smarter interpolation and extrapolation on the market data to access solutions like Thomson Reuters 3000 Xtra or Eikon. This is a must-have tool for derivatives end users that have limited access to market data but still want to have an accurate and robust price discovery mechanism. This should help them save substantial amount of time and money in pre-trade operations.”

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 Firms Responding as AI Seen Driving Sovereignty Concern

While the criticality of data to financial institutions has made its security paramount, the internationalisation of that information has made it a strategic priority. With ever greater volumes of data criss-crossing the world within and between organisations’ systems, data sovereignty has become a key component of governance policies required by regulators. Once considered relevant to...

EVENT

Data Management Summit London

Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...