Portfolio research
See what sector arithmetic misses.
A portfolio can appear balanced across Energy, Metals and Agriculture while carrying material basis, momentum or volatility exposure.
View the exposure fingerprint →The risk model
One model,
four levels of risk.
Sectors, sub-sectors, styles and trading factors, and idiosyncratic risk for each future. Cross-sectional decomposition across more than 40 commodities.
01Sectors3
02Sub-sectors11
03Styles & trading factors7
04Idiosyncratic, each future1,200+
Level 03 — styles & trading factors
- Basis
- Momentum
- Short-term momentum
- Open interest
- Trading activity
- Volatility
- Short-term volatility
Research applications
One model,
two research applications.
ARC studies historical return patterns in style factors and relationships between contracts with comparable modeled exposures. Both applications are estimated from the same factor model.
Designed to support a portfolio manager's own alpha research, portfolio construction and risk process—not to replace investment judgment.
Two applications / one estimation
A nesting commodity factor model built for institutional research workflows
From model to workflow
Use the model without changing how you work.
ARC supplies analytical outputs as research-ready flat files. Start with a representative portfolio or sample data, then determine whether the model adds information to your existing process.
Analytical data
Flat files, transparent inputs.
Factor exposures, factor returns, covariance estimates and idiosyncratic returns can enter existing research, backtesting and portfolio systems.
Review the methodology →Evaluation
Begin with your own use case.
Request sample data or ask ARC to discuss how the model would read a representative commodity portfolio.
Contact ARC