Numerix Introduces New Volatility Framework for CrossAsset
The analytics provider says the new framework can also be employed by hedge funds to match market prices with near instantaneous calibration, and can be used for a range of different options types that can be combined with barriers. It can also be used to complete quantitative modeling that measures or determines fractional difference among local and stochastic volatility, with or without jumps.
“We have put a great focus on ensuring that the Numerix model library and pricing architecture can scale in enterprise risk systems, and we continue to allocate much strategic bandwidth in this area. We’re excited to bring this new functionality to market further enabling a consistent pricing framework that spans a wide range of standard technology platforms and asset classes, fostering transparency throughout the market," says Steven O’Hanlon, CEO and President of Numerix.
The underlying methodology for the framework is based on a modern finite difference approach pioneered by Dr. Andrey Itkin and Dr. Peter Carr.
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@waterstechnology.com or view our subscription options here: https://subscriptions.waterstechnology.com/subscribe
You are currently unable to print this content. Please contact info@waterstechnology.com to find out more.
You are currently unable to copy this content. Please contact info@waterstechnology.com to find out more.
Copyright Infopro Digital Limited. All rights reserved.
As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (point 2.4), printing is limited to a single copy.
If you would like to purchase additional rights please email info@waterstechnology.com
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. As outlined in our terms and conditions, https://www.infopro-digital.com/terms-and-conditions/subscriptions/ (clause 2.4), an Authorised User may only make one copy of the materials for their own personal use. You must also comply with the restrictions in clause 2.5.
If you would like to purchase additional rights please email info@waterstechnology.com
More on Trading Tech
The total portfolio approach gains momentum: Building the right tech foundation for success
The rationale for the TPA, and the crucial role technology plays in enabling such an approach
Google, CME say they’ve proved cloud can support HFT—now what?
After demonstrating in September that ultra-low-latency trading can be facilitated in the cloud, the exchange and tech giant are hoping to see barriers to entry come down, particularly as overnight trading looms.
Institutional priorities in multi-asset investing
Private markets, broader exposures and the race for integration
BlackRock and AccessFintech partner, LSEG collabs with OpenAI, Apex launches Pisces service, and more
The Waters Cooler: CJC launches MDC service, Centreon secures Sixth Street investment, UK bond CT update, and more in this week’s news roundup.
TCB Data-Broadhead pairing highlights challenges of market data management
Waters Wrap: The vendors are hoping that blending TCB’s reporting infrastructure with Broadhead’s DLT-backed digital contract and auditing engine will be the cure for data rights management.
Robeco tests credit tool built in Bloomberg’s Python platform
This follows the asset manager’s participation in Bloomberg’s Code Crunch hackathon in Singapore, alongside other firms including LGT Investment Bank and university students.
FCA eyes equities tape, OpenAI and Capco team up, prediction markets gain steam, and more
The Waters Cooler: More tokenization, Ediphy lawsuit updates, Rimes teams up with Databricks, and more in this week’s news roundup.
Buy-side data heads push being on ‘right side’ of GenAI
Data heads at Man Group and Systematica Investments explain how GenAI has transformed the quant research process.