About a-team Marketing Services
The knowledge platform for the financial technology industry
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: Streamlining trading and investment processes with data standards and identifiers

Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration. Due to this increased complexity of institutions’ data needs, however, information often arrives into...

BLOG

Data Quality Posing Obstacles to AI Adoption and Other Processes, say Reports

The rush to build artificial intelligence applications has hit a wall of poor quality data and data complexity that’s hindering them from taking advantage of the technology. Those barriers are also preventing firms from upgrading other parts of their tech stacks. A slew of surveys and comments by researchers and vendors paint a picture of...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...