Our approach

We believe that today’s research is tomorrow’s performance. Research is an integral part of portfolio managers’ work and we have a long tradition of applying scientific research methods to create innovative strategies for our clients. Our collaboration-based approach to research has led us to build a strong, extended network of industry practitioners and academics to generate and develop ideas.

Today’s research drives tomorrow’s performance

Delivering research Into strategies




Evolving Nowcasters

Integrating News through Natural Language Processing methodologies into our macro-signals indicators

Seek to improve the reactiveness of our Nowcaster macro indicators by adding macro news sentiment signals

Implementation of the ‘Newscaster’ sentiment signals alongside the ‘Nowcaster’ signals in our multi-asset investment processes

Machine Learning in Private Equity

Applying machine learning algorithms to forecast the return of Private Equity funds based on structured data, unstructured date and GP (General Partners) sentiment

Score all known funds in fundraising

Efficient shortlisting of funds to be reviewed by analysts:

  • 700 funds trained
  • 300 funds tested
  • 70% accuracy achieved

ESG Scoring

Designing a proprietary ESG scoring methodology for companies

Develop an ESG indicator aligned with our equity investment process around active risk management

Implementation of monthly indicators in our equity investment processes from the risk perspective. We took into account differences in materiality of ESG issues for different sectors and incorporated the impact of controversies, when relevant.