A Unified Real Options Framework for Natural Gas Storage: Integrating Market Regimes and Cross-Market Spillovers

Natural gas markets exhibit violent, non-linear volatility regimes. The 2022 energy crisis introduced persistent supply shocks and cross-Atlantic spillover effects. Traditional valuation models assume single-regime environments; consequently, they systematically misprice storage assets during extreme stress. We propose a valuation framework tailored to these specific market volatilities. By integrating a hidden Markov model (HMM) and Diebold–Yilmaz (DY) spillover indices into a stochastic dynamic programming (SDP) engine, the framework isolates the persistence of stressed market conditions. The model captures structural arbitrage opportunities. We demonstrate a 197 percent net present value (NPV) premium over conventional benchmarks using synthetic data. The optimal policy expands inventory holding periods during high spillover intensity. The algorithm executes decisions with sub-millisecond latency. This approach provides a computationally viable tool for high-frequency risk management.

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Publication Details

Journal
Commodities
Published
2026-05-29
DOI
https://doi.org/10.3390/commodities5020011
Primary Topic
Capital Investment and Risk Analysis
Type
article
Field-Weighted Citation Impact
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article

A Unified Real Options Framework for Natural Gas Storage: Integrating Market Regimes and Cross-Market Spillovers

Fernando Gallardo Olmedo, Hamidreza Abshenasan, Prosper Lamothe Fernández
Commodities
Capital Investment and Risk Analysis
article

A Unified Real Options Framework for Natural Gas Storage: Integrating Market Regimes and Cross-Market Spillovers

Fernando Gallardo Olmedo, Hamidreza Abshenasan, Prosper Lamothe Fernández
article en

Abstract

Natural gas markets exhibit violent, non-linear volatility regimes. The 2022 energy crisis introduced persistent supply shocks and cross-Atlantic spillover effects. Traditional valuation models assume single-regime environments; consequently, they systematically misprice storage assets during extreme stress. We propose a valuation framework tailored to these specific market volatilities. By integrating a hidden Markov model (HMM) and Diebold–Yilmaz (DY) spillover indices into a stochastic dynamic programming (SDP) engine, the framework isolates the persistence of stressed market conditions. The model captures structural arbitrage opportunities. We demonstrate a 197 percent net present value (NPV) premium over conventional benchmarks using synthetic data. The optimal policy expands inventory holding periods during high spillover intensity. The algorithm executes decisions with sub-millisecond latency. This approach provides a computationally viable tool for high-frequency risk management.

CommoditiesVol. 5(2)
Universidad Autónoma de Madrid (ES)
Openalex Percentile: Top 4%
Capital Investment and Risk Analysis
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