The Global Investment Framework — Institution, Cycle, and Asset.
We adopt the “Institution—Cycle—Asset” three-dimensional coordinate system. This framework begins with top-down Macroeconomic Analysis to identify global regime shifts before determining optimal exposures across asset classes. We view currency, rates, and volatility as the critical transmission mechanisms between global markets.
Our Alpha is primarily driven by proprietary Multi-Factor Models reinforced by Machine Learning (ML) and Deep Learning (DL). This engine utilizes factor signals related to traditional styles (Value, Quality, Momentum) but expands into behavioral and cross-asset signals to capture non-linear relationships and institutional switching points.
The Beta component systematically holds strategic, long-term exposures aligned with our cyclical views (e.g., inflation pathways, decarbonization themes). Cross-Asset Hedging actively manages net risk by balancing exposures across different markets, ensuring a robust, low-correlation profile.
This model starts with identifying major global institutional shifts and economic cycles before deploying capital to specific assets. Key long-term themes include Global Supply Chain Restructuring and Energy Transition Financing.
We use advanced Multi-Factor Models for systematic Alpha extraction, complemented by explainable ML/DL techniques to capture non-linear relationships and regime changes. Bayesian Shrinkage and rigorous Robustness Testing validate every model.
Our investment process explicitly separates Alpha generation (driven by factors/ML for selection and pairing) and Beta management (strategic exposure and cross-asset hedging) to ensure clarity, control, and replicability of returns.