Engineering Preservation & Growth
Absolute Return vs. Relative Performance
The term “Absolute Return” is the defining pillar separating Alternative from Traditional Investments. It embodies a set of principles designed to produce consistent, attractive returns year in and year out, regardless of what might be occurring in the general capital markets.
By contrast, almost all traditional investments follow a “relative performance” philosophy—measuring success against an arbitrary benchmark like the S&P 500. In that model, accepting a 21% loss during a year the market drops 23% is considered a “success.”
At BHAM, we believe a relative performance philosophy runs counter to consistently building and retaining wealth. Our mandate is absolute: produce returns largely independent of overall market moves. No down calendar years.
Traditional Model
Relative Performance
Tied to market volatility. Success is defined merely by losing less capital than the underlying benchmark index during market downturns. Exposed to systemic market risk.
The BHAM Model
Absolute Return
Engineered to generate positive alpha independently of broader economic cycles. Capital preservation is prioritized, ensuring downside protection while compounding wealth.
Fund of Funds Architecture
Unlike conventional hedge funds that rely on a single, isolated investment strategy, BHAM utilizes a much more sophisticated and time-proven architecture: The Fund of Funds.
Specifically, the Absolute Return Fund (ARF) does not invest directly in equities or commodities. Instead, it deploys capital across a highly curated portfolio of the world’s top-rated, independent hedge funds. This structure provides immediate, institutional-grade exposure to multiple advanced strategies simultaneously.
The core advantage of this architecture is extreme diversification into non-correlated assets. By ensuring that the underlying funds react differently to the same economic events, we immensely reduce systemic risk and volatility, creating a robust shield for our investors’ capital.
The Proprietary Optimization Model
Selecting the right underlying funds is only the first step. BHAM’s true alpha is generated by dynamically overweighting and underweighting the allocation of ARF’s assets across these premier funds using our proprietary methodologies.
Quantitative Optimization
Decades of statistical arbitrage experience are embedded in mathematical models that continuously calculate risk-adjusted return probabilities, optimizing capital distribution down to the basis point.
Artificial Intelligence
Adaptive AI systems process immense volumes of alternative data and macroeconomic indicators in real-time, identifying invisible market regime shifts before they impact traditional correlations.
Quantum Computing
By leveraging quantum-inspired computational models, we process combinatorial optimization problems across our Fund of Funds matrix at speeds exponentially faster than classical computing architectures.