LNG Trading Model
Trading optimization model for LNG markets
Overview
Developed an LNG (Liquefied Natural Gas) trading optimization model for the Baringa Trading Competition hosted by NTU x CEIT. The model combines statistical forecasting with risk management to generate actionable trading strategies for commodity markets.
Technical Highlights
-
Price Forecasting: Implemented ARIMA-GARCH models to capture both price trends (ARIMA) and volatility clustering (GARCH) in LNG spot and forward markets.
-
Risk Quantification: Built Monte Carlo simulation framework to generate probability distributions for future price scenarios, enabling VaR and CVaR risk metrics calculation.
-
Hedging Strategy Design: Developed NYMEX natural gas futures-based hedging strategies to manage exposure, optimizing hedge ratios based on correlation analysis and basis risk.
Achievement
Baringa Trading Competition - 1st Place
Gallery

