Axioma Updates Portfolio Analytics and Risk Model Machine Solutions
- Axioma Portfolio Analytics and Risk Model Machine are part of the company’s integrated suite of capabilities.
Axioma, a provider of risk solutions for Buy-Side Buy-Side The buy-side is comprised of firms in the financial industry that purchase securities and are accompanied by account investment managers, pension funds, and hedge funds.The buy-side is composed of those that buy and invest large sums of securities with the intention of generating a lucrative return or have their funds managed. The Buy-Side ExplainedIn terms of Wall Street, the buy-side includes investment institutions that purchase securities, stocks, or other financial instruments with the aim The buy-side is comprised of firms in the financial industry that purchase securities and are accompanied by account investment managers, pension funds, and hedge funds.The buy-side is composed of those that buy and invest large sums of securities with the intention of generating a lucrative return or have their funds managed. The Buy-Side ExplainedIn terms of Wall Street, the buy-side includes investment institutions that purchase securities, stocks, or other financial instruments with the aim Read this Term institutions, has revealed new versions of its Axioma Portfolio Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Read this Term™ and Risk Model Machine™ solutions. The enhancements provide increased flexibility and accommodate a wider variety of workflows.
The London Summit 2017 is coming, get involved!
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™.
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.”
Axioma, a provider of risk solutions for Buy-Side Buy-Side The buy-side is comprised of firms in the financial industry that purchase securities and are accompanied by account investment managers, pension funds, and hedge funds.The buy-side is composed of those that buy and invest large sums of securities with the intention of generating a lucrative return or have their funds managed. The Buy-Side ExplainedIn terms of Wall Street, the buy-side includes investment institutions that purchase securities, stocks, or other financial instruments with the aim The buy-side is comprised of firms in the financial industry that purchase securities and are accompanied by account investment managers, pension funds, and hedge funds.The buy-side is composed of those that buy and invest large sums of securities with the intention of generating a lucrative return or have their funds managed. The Buy-Side ExplainedIn terms of Wall Street, the buy-side includes investment institutions that purchase securities, stocks, or other financial instruments with the aim Read this Term institutions, has revealed new versions of its Axioma Portfolio Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analyt Read this Term™ and Risk Model Machine™ solutions. The enhancements provide increased flexibility and accommodate a wider variety of workflows.
The London Summit 2017 is coming, get involved!
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™.
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.”