tech cloud
analyst report
Aite-Novarica Report

In new research report Audrey Blater of the Aite-Novarica Group shares key findings from her one-on-one interviews with key stakeholders across the financial services sector to uncover what’s driving cloud migration decisions for trading and risk management functions.
The report analyzes the factors influencing banks when it comes to deciding whether or not to migrate to the cloud and discusses what is needed to bring a pro-cloud shift into the decision-making process. The report also provides views on why on-premise legacy systems may or may not be preferred.

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journal issue
journal issue
Numerix Journal Vol. 7 No. 1

The Vol 7. No. 1 Issue of the Numerix Journal represents some of Numerix's quantitative research and development achievements lately. Many of these achievements have been implemented as functionalities in our products. With the ongoing R&D effort at Numerix, this collection of papers showcases the quality of the research on various topics of interest in the field. Readers get an update on the latest progress in the theoretical research and product enhancements at Numerix.

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OCBC
case study
OCBC Bank Scales Business and Mitigates Risk with Numerix Oneview

During the course of its nearly 10-year partnership with Numerix, OCBC Bank has faced a number of challenges it engaged Numerix to address.  The bank required a platform that could help it meet demand for products with more innovative features within the structured products market and which integrated a sophisticated risk management process.

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Content type
XVA
analyst report
Risk.net XVA Special Report 2018

This Risk.net 2018 XVA Special Report addresses a number of the hot button issues that continue to challenge the OTC derivatives marketplace today, such as the complications of XVA adoption, the impact of regulatory drivers, the complexity of pricing and risk calculations, the radical changes presented by new technologies, and the elusive capturing of profitability.

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blog
XVAs Defined: The Profitability Puzzle

Numerix experts break down the growing list of XVA pricing adjustments impacting derivatives, explore how they interact and their relationship to the overall profitability of a derivatives business.

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journal issue
journal issue
Numerix Journal Vol. 5 No. 1

The Vol. 5 No. 1 issue focuses on Numerix’s offerings of models, beginning with papers discussing Discrete Local Volatility (DLV) and Quasi-Gaussian Local Volatility (QGLV/Cheyette) models. The issue introduces two higher-level articles on models as well, one providing an overview of the family of models at Numerix and another focusing on Numerix’s universal hybrid framework. We’ve also included a paper on XVA Greeks, discussing the use of pathwise derivatives of the underlying cash flows for calculation and the ability to use algorithmic differentiation to compute pathwise derivatives efficiently. Finally, the issue looks at the power of Numerix analytics in Oneview Asset Management (OVAM), a new product launched last year.

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journal issue
journal issue
Numerix Journal Vol. 4 No. 2

The Vol. 4 No. 2 issue presents a collection of the latest Numerix research across several areas. It begins with our latest work on SABR and later features a second article that puts Numerix contributions to SABR into context. The issue also introduces work on an efficient SIMM-MVA approach for callable exotics, as well as an extension of Carr-Pelts work on volatility surface. Lastly, the issue highlights MasterMind, a powerful module within our Oneview Asset Management solution that offers users real-time portfolio analytics and the ability to customize calculation results.

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webinar
A Quantitative Look at FVA - Theory and Implementation

Many practitioners have found developing and implementing an accurate FVA framework challenging both theoretically and practically. Join Numerix on 2/28 for a quantitative discussion with Dr. Alexandre Antonov, SVP, Quantitative Research, as he reviews current FVA theory and outlines a new universal FVA framework. Register to view On-Demand.

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