Anti-Benchmark Portfolio Construction via Inverse Correlation

The patent inverts the traditional market-cap-weighted approach by constructing an 'Anti-Benchmark' portfolio that deliberately selects securities with low correlations to the benchmark and to each other. Instead of weighting by market cap (which concentrates in large caps), the methodology weights by inverse correlation and inverse volatility, systematically selecting smaller, less correlated securities to achieve superior diversification while maintaining operational simplicity through automated quantitative selection.

The patent changes the fundamental parameters of portfolio construction by replacing market-cap weights with correlation-based and volatility-based weights. The methodology computes pairwise correlations between all securities and selects those with lowest correlations to the benchmark and to each other, then applies inverse volatility weighting. This parameter transformation maintains adaptability to any benchmark while achieving superior risk-adjusted returns through mathematically optimized diversification.

The patent implements a self-service computational system where the portfolio construction methodology automatically performs all necessary correlation and volatility calculations, security selection, and weight optimization without requiring external expert intervention. The systematic quantitative framework self-determines the optimal portfolio composition by computing pairwise correlations, identifying low-correlation securities, and automatically assigning weights based on inverse volatility, thereby managing complexity through automation rather than simplification.