Investment Process
1) Combines quantitative models with human analysis
2) Evaluates assets through three key lenses:
- Fundamental analysis
- Market analysis
- Macroeconomic analysis
Systems engineering and data science are needed to effectively capture and analyze large quantities of information from sources around the world. We incorporate numerous diverse data sets into a wide range of proprietary models and non-proprietary indicators to quantitatively evaluate both individual companies as well as macro conditions. These quantitative tools provide our portfolio managers with a systematic, repeatable framework for analysis.
But models and screens must be supplemented by qualitative analysis and judgment. Qualitative interpretations are critical for contextualizing industry trends, the quality of a company’s earnings, monetary/fiscal policies, recession risks, country-specific election dynamics, and geopolitical events – to name just a few.
Quantitative tools and human analysis are then combined to evaluate assets through three key research disciplines: