Valuing Indexation Flexibilities in X-LNG

Check out the full detailed analysis here

What we analyzed

  • Three comparable setups:
       
    • Benchmark  A: Henry Hub–indexed portfolio (no flex)
    •  
    • Benchmark   B: Brent‑indexed portfolio (no flex)
    •  
    • Indexation‑Optionality Portfolio: right to settle each cargo on the more economic of the two      index formulas
  •  
  • Apples‑to‑apples calibration: At current forward curves the two benchmark portfolios are  set to similar profitability, putting the option “at‑the‑money” so we isolate extrinsic value.
  • Method:1,000 realistic simulations for Brent and HH; profit‑sensitivity surfaces map bi‑dimensional exposure and optimization logic.

Key takeaways

  • Consistent structural edge: The flexible portfolio significantly outperforms both benchmarks by “arbitraging” between pricing regimes as markets move.
  • Quantified performance: Across simulations, the Indexation‑Optionality Portfolio delivers mean profits of $0.52/MMBtu compared to the Brent-Benchmark  Portfolio and $0.44/MMBtu compared to the HH-Benchmark Portfolio.
  • Why it works: Optionality captures volatility and the asymmetric effects of different index formulas (e.g., a% HH + b vs. c% Brent), selecting the best settlement state‑by‑state.
  • Practical insight: Sensitivity surfaces reveal where Brent vs. HH strength flips the optimal choice, guiding hedging and deal‑design.

Who benefits from this

  • Traders:     Turn price dispersion into P&L by dynamically settling on the  advantaged index; use the surfaces to time hedges.
  • Origination/Structuring:     Price, design, and negotiate index‑switch rights; evidence‑based justification for premiums and triggers.
  • Portfolio     & Risk teams: Reduce concentration to a single index, monetize volatility, and stress‑test under alternative curve/volatility scenarios.
  • Finance     & Strategy: Support fair‑value assessments and capital allocation with simulation‑based distributions rather than point estimates.

 

 

Why it matters now

  • Forward  curves can make single‑index deals look equivalent today, but realized volatility creates material extrinsic value that standard benchmarking misses.
  • The same framework extends to alternative formulas and additional indices, allowing tailored negotiation packs and risk overlays.

Valuing Indexation Flexibilities in X-LNG

Check out the full detailed analysis here

What we analyzed

  • Three comparable setups:
       
    • Benchmark  A: Henry Hub–indexed portfolio (no flex)
    •  
    • Benchmark   B: Brent‑indexed portfolio (no flex)
    •  
    • Indexation‑Optionality Portfolio: right to settle each cargo on the more economic of the two      index formulas
  •  
  • Apples‑to‑apples calibration: At current forward curves the two benchmark portfolios are  set to similar profitability, putting the option “at‑the‑money” so we isolate extrinsic value.
  • Method:1,000 realistic simulations for Brent and HH; profit‑sensitivity surfaces map bi‑dimensional exposure and optimization logic.

Key takeaways

  • Consistent structural edge: The flexible portfolio significantly outperforms both benchmarks by “arbitraging” between pricing regimes as markets move.
  • Quantified performance: Across simulations, the Indexation‑Optionality Portfolio delivers mean profits of $0.52/MMBtu compared to the Brent-Benchmark  Portfolio and $0.44/MMBtu compared to the HH-Benchmark Portfolio.
  • Why it works: Optionality captures volatility and the asymmetric effects of different index formulas (e.g., a% HH + b vs. c% Brent), selecting the best settlement state‑by‑state.
  • Practical insight: Sensitivity surfaces reveal where Brent vs. HH strength flips the optimal choice, guiding hedging and deal‑design.

Who benefits from this

  • Traders:     Turn price dispersion into P&L by dynamically settling on the  advantaged index; use the surfaces to time hedges.
  • Origination/Structuring:     Price, design, and negotiate index‑switch rights; evidence‑based justification for premiums and triggers.
  • Portfolio     & Risk teams: Reduce concentration to a single index, monetize volatility, and stress‑test under alternative curve/volatility scenarios.
  • Finance     & Strategy: Support fair‑value assessments and capital allocation with simulation‑based distributions rather than point estimates.

 

 

Why it matters now

  • Forward  curves can make single‑index deals look equivalent today, but realized volatility creates material extrinsic value that standard benchmarking misses.
  • The same framework extends to alternative formulas and additional indices, allowing tailored negotiation packs and risk overlays.

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