Commodity Price Scenarios in Energy Financial Models

Introduction

In generalist investment banking, the revenue forecast in a financial model is typically built from management guidance, analyst estimates, and the banker's own judgment about growth rates, pricing, and market share. In energy investment banking, the revenue forecast starts with a variable that no management team controls: the commodity price. An E&P company producing 50,000 BOE/d has a vastly different value at $80 per barrel oil versus $55 per barrel oil, and the difference is not a few percentage points. It can be 40-60% of enterprise value. This commodity dependence is why energy financial models require multiple price scenarios, comprehensive sensitivity analysis, and explicit disclosure of the price assumptions underlying every valuation conclusion.

Constructing the right price deck and running meaningful sensitivities is one of the core technical skills in energy banking. It is also a frequent interview topic, because it tests whether candidates understand that energy valuation is inherently scenario-dependent rather than point-estimate-driven.

Energy bankers typically include three to five commodity price scenarios in their financial models. Each scenario serves a different analytical purpose.

Strip Pricing (The Forward Curve)

The most commonly used price scenario is the futures strip: the current market-implied price path based on NYMEX WTI and Henry Hub futures contracts. Strip pricing is attractive because it reflects the price at which producers can actually hedge their production today, making it the most "actionable" price scenario.

In practice, bankers use the strip for the first two to three years of the projection (where futures liquidity is deep and prices are relatively reliable) and then transition to a long-term flat or escalating price assumption for years four through the end of the reserve life. This hybrid approach is necessary because far-dated futures contracts (beyond three to five years) have minimal trading volume and do not represent genuine market consensus.

Price Deck

The set of commodity price assumptions used in an energy financial model. A price deck specifies the assumed price for oil (WTI or Brent), natural gas (Henry Hub), and sometimes NGLs for each year of the projection period. Different parties (investment banks, commercial banks, E&P management teams, reserve engineers) maintain their own price decks, and discrepancies between price decks are one of the most common sources of valuation disagreement in energy transactions.

Bank/Consensus Price Deck

Most investment banks publish their own commodity price forecasts, updated quarterly or semiannually, reflecting the bank's equity research team's view on supply-demand fundamentals, OPEC+ policy, and long-term demand trends. The bank's price deck is typically used as the "base case" in energy financial models, while the strip provides a market-based cross-check.

Consensus price decks aggregate forecasts from multiple banks and research providers. These are useful because they smooth out individual bank biases and represent a broader market view. Energy lender price deck surveys (published by organizations like the Society of Petroleum Engineers) are particularly important for reserve-based lending, where the lending bank's price deck determines the value of collateral and, by extension, the borrowing base.

Management Case

The E&P company's management team will have its own internal price assumptions, often more optimistic than the strip or bank consensus. In sell-side M&A, the management case is presented alongside external scenarios to show the valuation under the seller's assumptions. Buyers will discount management price assumptions and substitute their own, which is one of the key areas of negotiation in energy transactions.

Bull and Bear Cases

Stress-test scenarios bracket the range of possible outcomes. A bull case (e.g., WTI at $85-95 per barrel) might assume OPEC+ discipline, supply disruptions, or accelerating demand. A bear case (e.g., WTI at $45-55 per barrel) might assume OPEC+ price war, global recession, or rapid demand destruction from the energy transition. These scenarios are not predictions; they are designed to show how the valuation changes under extreme but plausible conditions.

Sensitivity Table (Price Sensitivity Matrix)

A grid-format output from an energy financial model that shows how the key valuation metric (NAV, EV, or price per share) changes across different combinations of commodity price assumptions. The standard format uses oil prices on one axis and gas prices on the other, with each cell showing the resulting valuation. Sensitivity tables are the primary deliverable in energy valuation presentations because they communicate the range of outcomes, identify which commodity drives the most valuation variation, and allow clients and counterparties to find the valuation at their own price assumptions.

The sensitivity table is the signature output of energy financial modeling.

A standard NAV model sensitivity table might show NAV per share across a matrix of oil prices ($55 to $95 per barrel in $5 increments) and gas prices ($2.50 to $5.00 per MMBtu in $0.50 increments). Each cell in the matrix represents the NAV under that specific combination of oil and gas prices, and the resulting grid shows how the valuation range widens or narrows depending on the company's oil-versus-gas production mix.

For a company with 80% oil production, the NAV is much more sensitive to oil price changes than gas price changes, so the vertical axis (oil prices) drives most of the valuation variation. For a gas-weighted company, the horizontal axis (gas prices) dominates. Understanding which commodity drives the most valuation sensitivity for a given company is critical for presentation design, client communication, and interview discussions.

The price deck is not just a modeling input. It is a strategic variable that influences advisory recommendations, deal timing, and negotiation dynamics.

In sell-side M&A, the price deck determines whether a seller's valuation expectations can be met by likely buyer bids. If the seller's management case assumes $80 oil but the buyer's base case assumes $65 oil, there is a fundamental valuation gap that must be bridged through deal structure (earnouts, commodity-linked consideration, hedging arrangements) or negotiation. The banker's job is to understand both parties' price assumptions, identify the gap, and propose mechanisms to bridge it.

In buy-side advisory, the price deck determines the maximum price the acquirer should pay. A buyer that underwrites an acquisition at $70 oil but believes prices could fall to $55 must stress-test the investment at the downside case to ensure returns are acceptable even in a bear scenario. The banker presents the sensitivity table to the buyer's board or investment committee, showing the range of outcomes and the implied downside risk.

In restructuring, the price deck determines whether a distressed company's assets can support its debt obligations. If PV-10 at the lender's price deck falls below the outstanding RBL balance, the company faces a borrowing base deficiency and potential default. The price deck is literally the difference between solvency and insolvency for leveraged energy companies in a downturn.