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Commodity Trading
Beyond the Spreadsheet: Real-Time Risk Management for Commodity Traders

Timing has always been an important factor in commodity trading success, and in the current risk environment, moving fast is more critical than ever. Indeed, it is a necessity. But many risk managers still find themselves waiting—waiting for spreadsheets to be updated, waiting for end-of-day reports, and waiting for the full picture to emerge before they can act.
Even with a CTRM system in place, many firms still rely on spreadsheets to fill in any functionality gaps. Spreadsheets can be a useful reporting and analytics tool, and are flexible and familiar, leading to the temptation to use them for managing CTRM work-arounds and trading processes. But using spreadsheets operationally can lead to many issues. They are prone to human error, lack audit trails and proper risk controls, and live outside the core system. The result is a fragmented view of risk, delayed insights, and time lost to administration such as copying information between systems and tracing and correcting errors.
We find that many trading companies assume that spreadsheets are a necessary add-on to any CTRM, but this does not have to be the case. Particularly for organisations that have moved on from CTRM to full Commodity Management Systems, where deal capture, contracts, pricing & invoicing, and physical logistics all take place within the same system as risk management.
The Cost of Delayed Risk Visibility
When risk data is only available at the end of the day, risk managers struggle to react to today’s problems, let alone respond to new risks in real-time. That delay can have real consequences:- Missed opportunities to adjust positions in line with market moves and shocks.
- Increased exposure to market, FX and credit risk, among others as well as losses as a result of not moving fast enough.
- Unnecessary operational risk with compounded errors from manual data entry, version control issues, and poor visibility over whether processes have been followed. These can include real costs as a result of penalties or operational delays.
- Reduced confidence in the accuracy and timeliness of reports, leading to even more lost time reconciling different systems and reports, and more decisions based on “gut feeling” rather than being data-driven.