The basic building blocks of the economies are of interest to us. We use advanced quantitative processes to test and extend logical thinking in the research process. The aim is to understand the movements and behaviors of the key factors that drive the most important aspects of the economy.

We use systemized quantitative ways to analyze data, integrating the latest AI technology. This is an important source of insight and makes the research process more streamlined and repeatable. Combined with discretionary decision making, guiding the research with human logic and experience, the process allows us to analyze markets at disequilibrium.

Quantitative models are used to interpret market pricing and to identify regimes and patterns. A wide range of indicators are considered in the valuation of assets. Using the combination of our own fundamental projections and the analysis on market valuations, we project future behaviors of the market and identify high value trades.

Trade exposures and parameters are adjusted systematically and dynamically in context of new developments, portfolio risks, thematic and factor exposures. The risks in the portfolio adjusts to the risk factors that we think is the best use of capital at any given time.