Axioma, a provider of risk solutions for buy-side institutions, has revealed new versions of its Axioma Portfolio Analytics™ and Risk Model Machine™ solutions. The enhancements provide increased flexibility and accommodate a wider variety of workflows.
Axioma Portfolio Analytics™ provides risk analysis, stress testing, and both traditional and factor-based performance attribution, as well custom risk models built with the Axioma Risk Model Machine™.
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The key highlights of the new version of Axioma Portfolio Analytics ™ (“APA”) and Risk Model Machine™ (“RMM”) include better attribution and risk analysis and the option to re-collapse ETFs, EIFs and underlying funds to aggregate their returns contributions. In addition, the upgrade introduces enhanced web services/APIs and improved user interface with data and tasks can now be controlled in bulk via web services making it easier to submit and run a large number of analyses at once.
Noteworthy highlights of the new version of the Risk Model Machine include providing clients with a new tool to simplify adding users to the Report Server in bulk, and easier integration into the product installation and upgrade process.
Risk Model Machine will also support simplified blended benchmarks which can now be created by simply listing indexes directly in your import holdings file.
Axioma is the only technology provider that offers comprehensive set of risk modeling capabilities, including off-the-shelf, fundamental and statistical products, as well as the ability to create custom risk models. The offering is gaining traction in the industry given the need to more appropriately grapple risk across portfolios amidst a shifting regulatory environment. Some of Axioma’s algorithms are protected by U.S. patents.
Axioma Portfolio Analytics and Risk Model Machine are part of the company’s integrated suite of capabilities that enable users to construct, test and balance their portfolios and identify the major contributors to their risk at the factor or asset-level.
Mark Cushey, director of product management at Axioma commented: “Speed is of utmost importance to our clients. In response to client demand, we’ve invested in parallel processing to achieve a nearly four-hold increase in the speed of performance attribution and time-series risk analysis, while making our UI even more streamlined and intuitive.”