Webinars

Style Research will be commencing its next series of 6 webinars on the 11th May.  These webinars are designed to be brief and cover an array of topics surrounding  Style Research’s products and research.  The webinars are available to all Style Research clients.  Please click on the link below to register your attendance for any of the sessions.


ESG

Date: TBC    Presenter: Robert Schwob

The Style Research Portfolio Analyzer incorporates factors to analyze Environmental, Social Responsibility and Corporate Governance (“ESG”) factors within investment portfolios alongside traditional equity Style factors.

This webinar will demonstrate how to use the data available from Trucost, Governance Metrics International (GMI) and MSCI (RiskMetrics and KLD) within the Portfolio Analyzer to analyse portfolios and understand more about their implicit statements and broad environmental, social and management risks.

Style Research News

UNDER THE BONNET: IN CONJUNCTION WITH CITYWIRE GLOBAL

In conjunction with Citywire Global (www.citywireglobal.com), Style Research analyses the driving force behind popular managers in the monthly ‘Under the Bonnet’ feature.   In the April edition, we look at the Jupiter European  Growth Fund, managed by Alexander Darwall.

Click here to view the article.

 

UNDER THE BONNET: IN CONJUNCTION WITH CITYWIRE GLOBAL

In conjunction with Citywire Global (www.citywireglobal.com), Style Research analyses the driving force behind popular managers in the monthly ‘Under the Bonnet’ feature.   In the March edition, we look at the William Blair Global Growth Fund, managed by Ken McAtamney and George Greig.

Click here to view the article.

 

Introducing Factor Return Analysis and Style Mine within Style Research Enterprise

The Style Skyline within Enterprise now includes factor returns and dispersions within the Tilt contributions drill down.  This gives an indication of the performance impact of a particular Style Tilt.  Further investigation of performance using the new Style Mine report gives a deeper insight into the performance attribution from the Style exposures.

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