analyzing-commodity-price-risk

# 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