The starting point should be a consistent, company-wide record of physical commodity positions and existing derivative hedges. This is particularly complex for international companies whose subsidiaries operate independently. Relevant factors include expected procurement volumes, contractually fixed prices, inventories, natural hedges, applicable price indices, currency effects and maturities. This information can be used to determine the open economic exposure and subsequently select suitable instruments and hedge ratios. Depending on the accounting treatment of derivatives, hedge accounting requirements and the own-use exemption may also need to be considered.
Corporate treasury should also assess whether existing reporting provides an appropriate and reliable view of gross and net exposures, hedge ratios, maturity profiles, fair values and the impact on liquidity and limits. Sensitivity analyses, scenarios and metrics measuring the economic effectiveness of hedging may provide additional insight. This information enables the company to prioritize actions and coordinate decisions across commodity procurement, risk management, controlling and accounting.
The required information is usually available, but it is often distributed across legal entities, locations and systems. Heterogeneous data sources, different planning horizons and inconsistent definitions of volumes, materials and prices make consolidation complex and time-consuming. For ongoing management purposes, companies should capture short-term production and procurement requirements, inventories, longer-term sales and procurement plans and relevant intragroup transactions in a standardized data set. Timeliness, completeness, traceability and an appropriate level of detail are essential for reliably quantifying risk positions.
This data foundation allows corporate treasury to continuously monitor commodity exposures, hedge ratios, the fair values of derivative financial instruments and their impact on liquidity and limits. It also provides transparency into potential variation margin and collateral requirements and supports the alignment of hedging transactions with liquidity planning, funding capacity and counterparty limits. Data on demand and procurement typically comes from procurement and operational planning. Risk management, controlling and accounting provide additional information on risks, planning, valuation and accounting. Integrating this information from both a technical and functional perspective often remains challenging.
This foundation also enables the regular update of sensitivity analyses, stress tests and rolling forecasts. These analyses show how changes in prices, volumes, currencies or liquidity affect open positions, cash flows and hedging requirements. Companies can therefore evaluate alternative procurement and hedging measures more effectively, particularly in response to sharp price movements, changing demand or limited market liquidity. At the same time, they can reduce the manual effort required to prepare and reconcile data.
Integrated data and analytics solutions are already well established in some sectors, including energy trading. Given current market conditions, they are also becoming increasingly important for commodity-intensive industrial companies. These solutions improve the timeliness and traceability of management information and support corporate treasury in liquidity planning, risk reporting and hedge monitoring. Commodity procurement remains responsible for purchasing decisions, but a consistent information base enables closer coordination with treasury.