New proxy-handling features also allow users to extend analysis for shorter-lived investment products and portfolios
The latest information on our product and service enhancements, client wins and company moves.
Rising Rates and Growing Geopolitical Concerns Also Cited as Top Risks in the Year Ahead
New Offering Leverages MPI’s Expertise, Patented Model to Create Better Benchmarks for Elite Hedge Fund Performance
Workspace delivers more than 25 years of MPI’s proprietary fund analysis and factor modeling intelligence with a single click.
The hires reflect MPI’s vision for product development, the integration of new technologies into existing and future tools and the expansion of its services practice that leverages the firm’s intellectual property and quantitative research expertise.
California State Teachers’ Retirement System’s Innovation & Risk group will leverage Stylus Pro’s risk analytics and portfolio level reporting functionality to measure diversification benefits.
The SEC’s selection of MPI Stylus Pro software platform comes as MPI has seen increased interest globally from asset management regulators for data-driven technology solutions that augment legacy intelligence programs.
Interactive solution designed for fiduciaries seeking to match DC plan demographics, behaviors and preferences with appropriate target-date fund families
MPI President Jeff Schwartz will participate in a panel on smart beta at terrapinn Quant World Canada 2015. The panel, titled “Smart beta or dumb alpha Ð which side are you on?”, will explore performance persistence, sustainability of product growth and the outlook for strategy developments. MPI is proud to be an associate sponsor of the event.
New research utilizes MPI’s proprietary Dynamic Style Analysis (DSA) to dive into the opaque world of endowment investing. With only ten data points representing a decade of returns, the model reveals significant insights into the sources of top endowments’ returns. The study finds a predominant portion of endowment returns are explained by asset allocation, particularly to illiquid alternative factors. To read more, including a performance attribution for fiscal year 2015, see the full analysis on the MPI Research Corner.