ACRE helps companies that trade and process commodities to increase earnings resilience by co-developing advanced analytics decision-support tools to manage market risk.
Optimize earnings and volatility with advanced analytics
What we do
Opportunity identification
We rapidly identify opportunities to increase earnings potential and reduce downside risk by back testing various static and dynamic risk management strategies against historical results.
Decision-support tools
We build bespoke tools that tailor ACRE’s machine-learning algorithms to attain an optimal balance of earnings and volatility, while respecting risk appetite and capital constraints.
Capability building
We train talent experientially by co-developing tools alongside teams to instill long-lasting capabilities and ensure new decision-making models are embraced by organizations.
Our Approach
ACRE helps clients improve commodity risk management performance by combining the right data, the right analytics, and the right experts. By fostering collaboration between traders and data scientists, we enable clients to identify their data advantages and successfully implement advanced analytics that capture value by focusing on the risks they are best positioned to own. We tailor our approach in every project to best meet each client’s needs, challenges, and opportunities. Our analytical outputs include:
Hedging decision support
For risk managers to view their volumetric position, assess analytics-driven strategy recommendations, and understand how recommendations are made by comparing the influence of model features
Performance management
For business leadership to understand performance drivers with a granular view across commodities, forward periods, business units, regions, and managers
Risk controls
For managers to track financial implications of commodity prices changes relative to established risk limits, and a segmented view of risk-return to help reallocate risk within a broader portfolio
Our deep pool of seasoned experts has real-life experience that complements our analytics and drives value for clients.
“An economist and fundamental trader by training, I learned how anticipating supply and demand can be used to forecast changes in futures and basis prices. In partnership with colleagues who have quantitative trading experience, we’ve been able to help clients create models that rapidly identify game-changing predictions from their proprietary data. We do this by integrating supply and demand insights with price momentum signals and extremely dense remote sensing and weather data. Together, we are discovering results I never would have believed a decade ago.”
Tay, Solution Leader
Examples of our work
Assessed impact of hedging on total shareholder returns and insolvency risk
Developed the corporate strategy for a commodity producer considering hedging strategies to reduce insolvency risk and strengthen balance sheet resiliency.
2 to 7 percent sales price uplift achieved from strategies that also reduced downside risk
Sized margin expansion potential of pricing strategies that also reduced value-at-risk for clients in agriculture, metals, and mining sectors.
Over $200 million of incremental revenue potential identified
Developed a rules-based sales price protection strategy for a basic materials company.
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