Tax Genius · India
Commodity Seasonality Research Framework
A framework for studying commodity seasonality with contract structure, inventories, weather, supply-demand cycles and robustness tests instead of calendar patterns alone.
Research framework published and architecture-reviewed:
Research framework
Seasonality becomes useful research only when calendar behaviour is connected to the physical and financial structure of the commodity market.
The research problem
A monthly average can appear stable even when the underlying economic mechanism has disappeared. The framework therefore begins with contract construction and market fundamentals before testing whether a calendar pattern is persistent.
Curve-aware analysis
Commodity research distinguishes price direction from curve structure because contango, backwardation and roll behaviour can materially change an investor or hedger experience.
Fundamental context
Where evidence exists, calendar effects are compared with inventory cycles, production schedules, weather patterns, refinery or harvest cycles and policy changes.
Decision role
Seasonality is treated as one contextual input inside commodity intelligence, not as a standalone rule for execution.
Methodology
- Define the commodity, contract and continuous-series construction first.
- Separate spot, front-contract and curve-shape behaviour.
- Test calendar effects across subperiods and fundamental states.
- Connect statistical seasonality to inventories, production, demand or weather where relevant.
Evidence requirements
- Contract-level futures history with roll methodology documented.
- Inventory/supply-demand data where used.
- Calendar and holiday treatment.
- Subperiod and robustness analysis.
Limitations
- Commodity contract specifications and market structure change over time.
- Seasonal averages can conceal wide outcome distributions.
- A recurring historical pattern is not a forecast or trading instruction.