Generic Forward Curve Dynamics for Commodity Derivatives
David Xiao

TL;DR
This paper introduces a comprehensive framework for modeling commodity forward curves, capturing multiple price components to improve the accuracy of price and volatility predictions, with empirical validation showing close alignment with market prices.
Contribution
The paper develops a novel, generic model for commodity forward curve dynamics that accounts for multiple underlying components, enhancing predictive accuracy.
Findings
Model prices closely match market prices
The framework effectively captures forward price dynamics
Improved volatility modeling for commodity derivatives
Abstract
This article presents a generic framework for modeling the dynamics of forward curves in commodity market as commodity derivatives are typically traded by futures or forwards. We have theoretically demonstrated that commodity prices are driven by multiple components. As such, the model can better capture the forward price and volatility dynamics. Empirical study shows that the model prices are very close to the market prices, indicating prima facie that the model performs quite well.
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Taxonomy
TopicsComplex Systems and Time Series Analysis · Market Dynamics and Volatility
