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

A-Team Insight Blogs

Pricing Partners Introduces CVA, DVA and Bilateral CVA Computation in its Derivatives Pricing Analytics

Subscribe to our newsletter

Pricing Partners announced today that Price-it library can compute CVA, DVA and bilateral CVA for all payoff based trades.

Credit Value Adjustment (CVA) represents the additional cost to account for the possibility of the counterparty’s default, which is computed as the difference between the risk free market value and the one where the counterparty could default. Debt Valuation Adjustment (DVA) represents the additional cost to account for one’s own default. Bilateral CVA is the combination of the two (CVA and DVA).

CVA/DVA/Bilateral CVA computations become critical for financial markets and introduce more complexity in the valuation space. Although CVA/DVA/ Bilateral CVA computation is about to be standardized for vanilla swap and simple derivatives, the challenge remained unsolved for general derivatives. Thanks to its scripting language that allows scripting virtually any derivatives and its generic American Monte Carlo (AMC) engine, Pricing Partners invents a new powerful solution to compute CVA/DVA/Bilateral CVA for virtually any derivatives with accurate valuation of the potential future exposure and the corresponding probabilities of a default of the counterparty. This leverages its generic AMC engine with reliable estimation of the exercise boundary based on either Longstaff Schwartz algorithm on meaningful regression variables expanded to the order 5 or on the Andersen intrinsic value barrier criterion.

Eric Benhamou, CEO of Pricing Partners, comments: “This new generic CVA engine is awesome. It generates enormous added value for our clients, which enables them to quantify the CVA on their derivatives portfolio, without limits on derivatives payoffs. This innovation should continue to strengthen Pricing Partners’ leading position in risk management for OTC derivatives.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

Daloopa Harnesses Cutting-Edge Tech to Turbocharge Venerable Software

Financial data and automation specialist Daloopa has incorporated the latest artificial intelligence technology into tech from last century to accelerate the search from alpha among equity investors. The US-based startup has built Daloopa Scout, an agent that bolts onto researchers’ Excel software and builds investment models from scratch. Further, the agent is designed to work...

EVENT

TradingTech Summit London

Now in its 16th year, the TradingTech Summit London brings together senior leadership across capital markets trading technology and market data. Join us to deep dive into key opportunities and challenges driving technological transformation across sell-side and buy-side firms.

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...