Chapter 7 of 8
Commodity balance sheets: crops, weather, inventory and location
Extend the bullion research method to agricultural and industrial commodities with units and timing kept explicit.
In this chapter
Build a physical balance before a price opinion #
A simplified balance starts with opening stocks plus production and imports, minus consumption and exports, to arrive at closing stocks with relevant adjustments. Each item needs a period, geography and unit.
A world balance and an Indian delivery-location balance are different perimeters. Freight, grade, processing and import/export frictions can prevent instant price convergence. A global surplus can coexist with local tightness.
Crop output depends on area and yield #
A crop estimate combines harvested area and yield, with weather, irrigation, timing and crop condition affecting the outcome. Sown area is not necessarily harvested area.
Read IMD rainfall information with regional and seasonal detail. An all-India average can hide shortfalls in a crop’s main producing belt. A weather forecast is not an observed harvest; preserve the forecast date and uncertainty.
Stocks and usage need compatible measures #
Stocks-to-use compares a stock with a flow over a declared period. Public, private, exchange and commercial inventories can overlap or exclude relevant holdings.
A warehouse withdrawal does not necessarily mean immediate final consumption. In oil, metals and agriculture, location, quality and logistics matter. Check revisions and publication lag before using a report in a historical trade study.
Map supply response and procurement risk #
Higher prices can encourage output or recycling, but response takes time and may depend on by-product economics, planting seasons or existing capacity. Buyers can substitute, reduce intensity or use stock.
For a processor, hedge the relevant exposure rather than a vaguely similar price. Basis, grade, quantity, delivery month and funding can leave residual risk. Do not assume an exchange contract removes every procurement uncertainty.
Hypothetical worked example
A fictional crop balance
Opening stocks are 10 lakh tonnes, production 80, imports 5, domestic use 75 and exports 8. Closing stocks are 10+80+5−75−8 = 12 lakh tonnes before other adjustments.
If a weather revision reduces output by 5 lakh tonnes with other inputs unchanged, closing stock becomes 7 lakh tonnes. That is a balance scenario, not a formula that converts directly into a fixed percentage price rise.
Common mistakes
- Mixing global and local stock perimeters.
- Treating forecast rainfall as realised crop output.
- Converting a deficit mechanically into a price target.
What follows directly from a five-unit production loss with all other balance items fixed?
Make this chapter useful
Can you defend the reasoning?
Before moving on, answer the self-check in your own words and write why each alternative fails. Use the worked example to test that explanation. Then apply it in the module research task; keep the assumptions and the evidence that could change your answer.
Desk assignment
What to submit
Build a dated commodity balance with area/yield assumptions, weather regions, inventory perimeter and a basis-aware hedge question.
Use the research ledger for dated evidence, or the module workbooks for calculations. Separate observations, assumptions and interpretation.
Sources and further reading
- NISM: Research Analyst learning topics (scope reference; independent lessons) ↗
- India Meteorological Department: monsoon information ↗
- MCXCCL: physical delivery FAQs ↗
Further-reading references from the curriculum source list. Contract sizes, expiry calendars, settlement references, margin parameters and tax treatment can change; verify the current operative documents for the actual product. Worked figures are illustrative, not current quotes.
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