Case Studies Forecasting Petrochemical Price Forecasting

Project Objective

To develop advanced forecasting models for petrochemical prices to enable well-informed planning decisions and hedging against price volatility in a largely unregulated market.

Industry business intelligence publication arm of one of the world's leading media publishing houses.

A long series of industry investigation and analysis and interviews with experts and other price forecasters informed the experimentation process. Experiments were undertaken with a large number of statistical modeling techniques to form the basis of the forecasting models. In order to maximize both short-term (1 month) forecasting accuracy and to develop a reliable view of long-term (10-12 months trends), a rigorous testing methodology was developed. In addition to the advanced models drawn from financial market practices, an experimental Market Sentiment Index was developed to attempt an increase in accuracy of predicting changes in direction of price evolution.

Model Type Most suited Data Forecasting Horizon Model
No Trend, varying level Short Short
Holt's Method Varying trend & levels, No seasonality Short Short
Holt-Winter's Method Varying trend & levels, considers seasonality Short to Medium Medium
ARIMA Varying trend, levels, & seasonality Short to Medium Long
GARCH Data with Heteroskedasticity (unequal variance) Short to Medium Long
Artificial Neural
Large non-linear Datasets Short to Medium Medium
Criteria for Selection of Forecasting Models

A combination of sophisticated univariate and multivariate forecasting models that form the basis for publishing future prices and for editorial commentary in the published reports.
Model’s Performance over a 12 Month Testing Period

Exceptionally accurate forecasts (greater than 95%) were generated for all products along with a price driver based understanding of price movements.
Forecasting petrochemical prices in a volatile market scenario
Global petrochemical industry intelligence provider
Exceptionally accurate models that guide clients in planning and hedging against volatility
- Sales and Operations Planning
- Best Practices for Forecasting
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