Style Analytics launches factor-based fund screening, search and comparison tool
Style Analytics, a provider of factor-based portfolio and market analytics tools for investment professionals, has launched a new tool in investment management for instant comparison of funds on a wide variety of metrics.
The new Similyzer tool uses fund holdings to measure how similar thousands of investment vehicles are to one another, helping investors make detailed comparisons on factor exposures, historic performance, risk measures and more.
Asset Managers can use Similyzer to identify uniquely differentiating aspects of their own funds, to assess all competitors’ strengths and weaknesses and to examine crowding in equity styles. Asset Owners and Consultants can use Similyzer to assess differences in comparable funds, to find alternative funds and to enhance their initial and ongoing due- diligence. Ten early-adopter clients are currently using Similyzer to compare select funds with over 28,000 other funds in the Morningstar and eVestment universes.
Stephen Beinhacker, Global Head of Manager Research at SEI, says: “Similyzer is a big time saver. It quickly and easily sheds an interesting light on managers’ similarities and differences. Before this tool, it simply took too long to identify manager-specific attributes and now I can dig as deeply as I need to find gems of information.”
Sebastien Roussotte, CEO of Style Analytics, says: Style Analytics’ products and services are designed to help institutional investors and investment managers determine which factor exposures impact portfolio risk and performance, including ESG. By using the unique SimilyzerTM, industry professionals can better analyse markets, peers and portfolios.
anywhere else. By providing a comparison on all the holdings-based attributes of interest - “Our new Similyzer module gives both Asset Managers and Asset Owners valuable capabilities they simply cannot get
investment style, performance, and risk - the entire industry will benefit from SimilyzerTM’s fast and efficient presentation of fund similarity.”