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: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Tackling the Data Management Challenges of FATCA

As the July 1, 2014 deadline for compliance with the Foreign Account Tax Compliance Act – or FATCA – approaches, financial institutions around the world are working to ensure their data management and operational systems will meet the requirements of the US legislation. This report discusses the requirements of FATCA and how the legislation is...