Commodities historically have been highly correlated with inflation and have offered low correlation to equity and fixed income asset classes.
Today, a convergence of additional market forces may be setting the stage for increased opportunities in commodities and resource/commodity-related themes, and increased value in the context of an overall portfolio.
A Global Opportunity Set
ResOP seeks to profit from the potential increased volatility of commodity, natural resource and inflation-related markets by taking active positions, long or short, in approximately 100 instruments globally.
Seasoned Machine Learning, Multi-Feature Models
Millburn's investment approach combines substantial market experience—including live trading through many market cycles and periods of historical stress—with a rigorous, data-driven approach to quantitative analysis.
ResOP’s process relies heavily on multi-feature models, working in a proprietary statistical machine learning framework, which seek to uncover robust, repeatable patterns in years or decades of historical data. These patterns are used to take long or short positions accordingly in each instrument the Program trades.