analyzing-commodity-price-risk

name	analyzing-commodity-price-risk
language	en
description	Evaluates commodity price exposure with forward curve analysis, hedging strategies, and break-even price sensitivity. Use when analyzing commodity risk, designing hedging programs, or stress testing price assumptions.
tags	["analysis","real-assets-and-natural-resources","risk"]
metadata	{"author":"casemark","practice_areas":["Natural Resources","Energy Capital","Commodity Investment"],"document_types":["Analysis Report"],"skill_modes":["Analysis"]}

Analyzing Commodity Price Risk

Evaluates commodity price exposure with forward curve analysis, hedging strategies, and break-even price sensitivity.

When To Use

• Assessing a portfolio's or project's exposure to commodity price movements (crude oil, natural gas, metals, agricultural products)
• Designing or reviewing a hedging program for a producer, refiner, or offtaker
• Stress testing price assumptions in investment underwriting or reserve-based lending
• Evaluating forward curve shape (contango vs. backwardation) and its impact on roll yield and storage economics
• Benchmarking realized vs. budgeted commodity prices for variance analysis

Inputs To Gather

• Commodity exposure profile: volumes, commodity type(s), production/consumption schedule, contract tenors
• Current and historical spot prices: at minimum 3–5 years of price history for the relevant benchmark (e.g., WTI, Henry Hub, LME Copper)
• Forward/futures curve data: exchange-settled strip prices across relevant tenors
• Existing hedge book: instruments in place (swaps, collars, puts, three-way structures), notional volumes, strike prices, expiration dates
• Break-even economics: all-in sustaining cost, lifting cost, or full-cycle cost per unit of production [VERIFY against operator's cost model]
• Counterparty and credit terms: ISDA status, margin/collateral requirements, hedge line availability
• Regulatory or covenant constraints: any hedging ratio limits from lenders or board-approved risk policy [VERIFY applicable policy]

Workflow

1. Map the exposure: Quantify gross unhedged volume by commodity, time period, and delivery point. Identify basis risk between the production/consumption location and the benchmark index.

2. Analyze the forward curve: Pull current futures strip and compare to trailing 3-year and 5-year averages. Note whether the curve is in contango or backwardation and assess implications for hedge timing and roll costs.

3. Evaluate existing hedges: Overlay the current hedge book on the exposure profile. Calculate the percentage hedged by quarter, the weighted-average hedge price, and the mark-to-market value of outstanding positions.

4. Run price scenarios:

   • Base case: strip pricing as of analysis date
   • Downside: price decline of 25–40% sustained over 12 months (calibrate to historical drawdowns)
   • Upside: price rally of 20–30% (to quantify opportunity cost of hedges)
   • Stress case: a tail event (e.g., 2008 or 2020 crude collapse) applied to the current portfolio
   • For each scenario, compute revenue impact, debt service coverage, and covenant compliance.

5. Assess break-even sensitivity: Determine the commodity price at which the project or portfolio hits cash-flow breakeven, debt service breakeven, and economic breakeven (including return hurdle). Flag any scenario where price falls below breakeven for more than two consecutive quarters.

6. Recommend hedging strategy: Based on risk tolerance, cost of hedging, and forward curve shape, recommend an instrument mix:

   • Swaps for certainty of cash flow (fixed price, full participation lock)
   • Costless collars for floor protection with upside participation
   • Put options for downside protection while retaining full upside (premium cost required)
   • Three-way collars to reduce or eliminate premium by selling a deeper put
   • Specify recommended hedge ratios by tenor (e.g., 75% of PDP production for 12 months, 50% for months 13–24) [VERIFY against lender or board policy constraints]

7. Document basis risk: If the production point differs from the hedge benchmark, quantify historical basis differential volatility and recommend basis swaps or location differentials if material.

Output

Produce a Commodity Price Risk Report containing:

• Executive summary: one-paragraph overview of net exposure, key risk, and recommended action
• Exposure map table: gross and net (post-hedge) volumes by commodity, quarter, and delivery point
• Forward curve chart: current strip vs. historical averages with break-even price overlaid
• Scenario analysis table: revenue, EBITDA, and DSCR under base, downside, upside, and stress cases
• Break-even waterfall: chart showing all-in cost buildup per unit vs. current strip price
• Hedge recommendation summary: instrument type, notional volume, tenor, indicative pricing, and estimated cost/premium
• Risk register: residual risks (basis risk, volumetric risk, counterparty credit, liquidity risk) with severity rating

Quality Checks

• Confirm that forward curve data is sourced from a recognized exchange or broker dealer and is dated within 2 business days of analysis
• Verify that hedge ratios do not exceed any covenant or policy ceiling [VERIFY]
• Ensure break-even costs are consistent with the operator's most recent cost report or reserve report
• Check that scenario magnitudes are calibrated to actual historical drawdowns, not arbitrary round numbers
• Validate that mark-to-market calculations use consistent valuation methodology (mid-market vs. bid/ask)
• Confirm that basis differential assumptions reflect the correct delivery point and index pairing
• Flag any commodity where liquidity in the futures market is thin beyond the recommended hedge tenor