The provider's Risk Model Machine (RMM) version 7.6 includes an advanced content builder program and new factor libraries, providing flexibility when building custom models.
The new libraries will include Holt fundamental factor sets as well as Axioma's own core selection, and can be tailored to experimentation models, testing of variations for optimized performance, and decomposition of returns in a performance attribution.
The 7.6 upgrades are designed to provide greater internal transparency into the portfolio management process, and help buy sides develop a clearer rationale for specific investment strategies.
“The addition of the content builder and the factor libraries makes the RMM a more complete solution for building risk models,” says Pamela Vance, vice president for product management at Axioma. “For example, users can now customize their estimation universe to build sector models or small-cap models, and they can tailor specific factor definitions for those models.”
Waters Wavelength Podcast Episode 97: C-Level Execs Talk Bitcoin, Fintechs, Cognitive Computing & Open-Source Tech
In separate interviews, executives from AQR, JPMorgan, Cboe and IBM discuss topics permeating the capital markets.Subscribe to Weekly Wrap emails
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