An Intensive 5-day Training Course
Petrochemical Price Forecasting Techniques
Applying Analytical Models and Market Intelligence to
Predict Petrochemical Price Movements
Scheduled Dates
Classroom
| 13 - 17 Apr 2026 | Dubai - UAE | $5,950 | RESERVE A SEAT |
| 16 - 20 Nov 2026 | Dubai - UAE | $5,950 | RESERVE A SEAT |
Would an alternative date be more suitable?
We offer a variety of tailored training options, customized to meet your organisation's needs. Delivered anytime, anywhere, we make it easy to bring expert training directly to your team.
Why Choose this Training Course?
This Petrochemical Price Forecasting Techniques training course provides professionals in the petrochemical and energy industries with advanced analytical skills and methodologies to forecast market prices accurately. In a volatile global market influenced by feedstock availability, supply-demand dynamics, and geopolitical trends, effective price forecasting is essential for strategic planning, risk management, and profitability.
Participants will explore key forecasting frameworks, including econometric modeling, regression analysis, time-series forecasting, and scenario planning. The training course also emphasizes the integration of macroeconomic indicators, energy price linkages, and industry-specific variables to enhance forecast precision and decision-making.
This training course will highlight:
- Core concepts of petrochemical price formation and volatility
- Quantitative and qualitative forecasting methodologies
- Data analysis techniques using statistical and econometric models
- Integration of feedstock, energy, and global trade variables
- Building reliable and actionable petrochemical price forecasts
What are the Goals?
At the end of this training course, you will learn to:
- Understand the drivers of petrochemical market prices and trends
- Apply statistical and econometric models for price forecasting
- Interpret historical and real-time market data for predictive analysis
- Develop scenario-based forecasts under varying market conditions
- Utilize forecasting outputs for strategic and financial decision-making
Who is this Training Course for?
This training course is designed for professionals engaged in market analysis, strategic planning, and pricing decisions within the petrochemical and energy sectors, including:
- Petrochemical and Energy Market Analysts
- Pricing and Commercial Strategy Managers
- Procurement and Supply Chain Professionals
- Economists and Financial Analysts
- Business Development and Planning Managers
- Traders, Risk Managers, and Strategic Decision-Makers
How will this Training Course be Presented?
This training course combines theoretical instruction with practical modeling exercises and real-world petrochemical case studies. Participants will work on hands-on forecasting simulations, data interpretation tasks, and group discussions to strengthen analytical proficiency.
Organisational Impact
Organisations will benefit from enhanced analytical and planning capabilities through:
- Improved accuracy in petrochemical pricing and market forecasting
- Stronger decision-making for procurement and investment planning
- Reduced exposure to price and supply volatility risks
- Better alignment of production, trading, and financial strategies
- Enhanced ability to respond proactively to global market fluctuations
- Integration of data-driven intelligence into strategic operations
Personal Impact
Participants will gain valuable technical and analytical competencies through:
- Stronger understanding of petrochemical market behavior
- Improved forecasting and data analysis skills
- Confidence in interpreting complex market and pricing data
- Ability to translate forecast results into actionable insights
- Greater awareness of global trends impacting petrochemical prices
- Career advancement in energy economics, trading, or analytics roles
Daily Agenda
Day One: Fundamentals of Petrochemical Pricing and Market Dynamics
- Overview of the global petrochemical industry and value chain
- Price formation mechanisms and feedstock linkages
- Understanding supply, demand, and trade flow influences
- The role of energy prices, particularly oil and gas, in petrochemical pricing
- Identifying short-term vs. long-term price drivers
- Introduction to forecasting principles and data requirements
Day Two: Data Collection and Analysis for Price Forecasting
- Identifying relevant market and economic data sources
- Data validation, cleaning, and normalization techniques
- Exploratory data analysis and visualization methods
- Correlation and causality between market variables
- Establishing historical price baselines and trend patterns
- Using statistical tools to prepare datasets for modeling
Day Three: Quantitative Forecasting Techniques and Applications
- Introduction to econometric and time-series forecasting models
- Regression analysis and multiple-variable forecasting approaches
- Autoregressive Integrated Moving Average (ARIMA) models
- Seasonality, volatility, and trend decomposition in petrochemical prices
- Using simulation models for risk-adjusted forecasts
- Model calibration and validation using historical data
Day Four: Scenario Planning and Market Intelligence Integration
- Developing market scenarios for future price movements
- Incorporating geopolitical, regulatory, and macroeconomic factors
- Energy transition impacts and sustainability considerations
- Integrating qualitative insights into quantitative models
- Sensitivity analysis and stress-testing forecast models
- Building hybrid forecasting frameworks for complex markets
Day Five: Forecast Interpretation and Strategic Application
- Translating forecast results into business strategies
- Communicating forecast uncertainty to management and stakeholders
- Applying forecasts to procurement, trading, and investment decisions
- Designing dashboards and performance tracking mechanisms
- Case studies: successful forecasting practices in petrochemical firms
- Final workshop: building an end-to-end price forecast model
Certificate
- On successful completion of this Training Course / Online Training Course, a PetroKnowledge Certificate / E-Certificate will be awarded to the delegates.
