Seasonality Commodities Quant Interview Guide
Seasonality commodities quant interview guide covering demand seasons, supply cycles, weather, storage, curve effects, and examples.
Candidates modeling demand, supply, weather, and calendar effects.
Seasonality reflects recurring calendar patterns
Commodity demand, supply, storage, transportation, and weather exposure often follow seasonal cycles that affect prices and spreads.
The pattern still needs validation
Seasonal effects can change with infrastructure, regulation, demand composition, production technology, and unusual weather.
Concrete example
Natural gas demand often rises in winter heating periods, but inventory levels and forecast surprises determine how prices respond.
Use seasonality carefully in models
Seasonal features should avoid lookahead, use consistent calendars, and be tested out of sample across multiple regimes.
Common mistakes
Candidates often assume last year repeats. Strong answers discuss why the season exists and when it can fail in a new regime.
Practice the pattern
Use the LeetQuidity curriculum and calibration to turn this topic into a focused practice plan.