Contango and backwardation
Contango and backwardation
The forward curve plots futures prices across all available contract months. The shape reveals market structure and creates profit or loss for investors. Contango is when near-term prices are lower than distant-month prices (normal in abundant supply). Backwardation is when near-term prices are higher than distant-month prices (signals scarcity or immediate demand pressure).
Contango is the default when supplies are plentiful. If crude oil is $80 per barrel spot and one-year futures are $85, the market is in contango. This $5 premium compensates holders for storage cost, insurance, and financing. A warehouse operator paying $1 per barrel annually in storage costs and 3 percent annually in financing ($2.40 on an $80 barrel) might price a one-year contract at $83.40, leaving a thin margin. In truly abundant supply (lots of storage, low financing costs), contango is steep.
Backwardation occurs during shortage or when nearby supply is scarce. During the 2008 oil price spike, crude went into backwardation: spot crude at $140, but the one-year contract was only $120. Why would anyone pay $140 today to store expensive oil for a year? Only if they needed it urgently—or if they expected much higher future prices. Backwardation signals that the market values immediate availability over future convenience.
Storage cost is the pivot. The fundamental relationship is: futures price ≈ spot price + (storage + insurance + financing). If storage jumps from $1 to $5 per barrel annually (due to tank scarcity), the forward curve steepens into contango. Conversely, if supplies are tight and storage is empty, contango collapses or reverses into backwardation. The 2020 oil crash saw WTI futures for May delivery trade negative (below zero!)—meaning the market would pay you to take oil off its hands, because storage was full and demand had evaporated.
Seasonal patterns are crucial. Natural gas is typically in contango during spring and summer (when demand is low and storage fills up) but in backwardation during winter (when storage drains and heating demand peaks). Agricultural commodities like corn exhibit seasonal contango before harvest (storage, financing) and seasonal backwardation right at harvest (immediate supply gluts, incentive to buy forward for winter usage).
The forward curve shape has profound implications for passive commodity investing. If you own a commodity ETF that holds crude oil futures, you're constantly "rolling"—selling nearby contracts at lower prices and buying distant contracts at higher prices (in contango). This is a losing trade: you sell at $80 and buy at $85, locking in a $5 loss per barrel. Over time, this roll yield drag compounds. A steeper contango curve creates larger roll losses. In backwardation, rolling is profitable: you sell at $140 and buy at $120, locking in a $20 gain. ETF performance diverges sharply from spot commodity prices depending on curve shape.
Historical examples illustrate the importance. The 2011–2012 period saw oil in persistent contango, with roll yield losses reducing commodity ETF returns versus spot prices by 2–3 percent annually. The 2008 backwardation saw roll gains add $5–10 per barrel to ETF holders' returns (if they held through the roll). This is why tracking error between commodity spot prices and commodity ETF prices can be substantial—and why understanding the forward curve is essential for commodity investing.
The London Metal Exchange publishes forward curves for all major metals. Copper typically runs in contango (storage at LME warehouses costs ~$50 per ton annually), but during supply squeezes, backwardation appears. Understanding where a commodity sits on the contango–backwardation spectrum tells you whether passive ownership is being subsidized (backwardation) or taxed (contango). Savvy investors use these signals to size positions and construct hedges.
Articles in this chapter
📄️ What is Contango?
Understand contango, the fundamental futures market structure where near-term prices trade below far-term prices, and its implications for commodity traders and investors.
📄️ What is Backwardation?
Understand backwardation, the inverted futures curve where near-term prices trade above far-term prices, and what it signals about supply conditions and market stress.
📄️ Contango and Storage Costs
Examine how physical storage costs, financing expenses, and insurance drive the contango curve, and why understanding these costs is essential for commodity valuation.
📄️ Backwardation and Supply Stress
Explore how tight supply conditions, geopolitical shocks, and inventory constraints create backwardation and what these curve inversions reveal about market fundamentals.
📄️ Reading the Futures Curve
Learn to interpret the futures curve as a market communication tool—what contango, backwardation, and curve shapes reveal about supply, demand, costs, and investor positioning.
📄️ Near-Term vs Far-Term Futures
How different contract months respond to supply disruptions and demand cycles, and why the shape of futures curves matters for traders and investors.
📄️ Seasonal Contango Patterns
How commodity demand cycles through the year create predictable price curves, with deeper contango in periods of abundant supply and approaching scarcity.
📄️ Summer Gasoline Contango
Why the spring-to-summer transition creates steep contango in unleaded gasoline futures, driven by seasonal demand, refinery behavior, and the mechanics of refinery maintenance shutdowns.
📄️ Winter Heating Oil Patterns
How winter heating demand creates distinctive backwardation and convenience yield premiums in heating oil futures, and why winter supply constraints define the market.
📄️ Analyzing Crude Oil Futures Curves
How to read and interpret the full shape of crude oil futures curves to understand market balance, storage stress, and forward price expectations.
📄️ Gold's Forward Curve
Gold occupies a unique position in commodity markets. Unlike crude oil, which is consumed in production, or agricultural goods, which are harvested seasonally, gold serves simultaneously as an industrial input, a store of value, and a monetary asset. This dual character shapes how gold futures curves develop and what price relationships tell us about market sentiment.
📄️ Agricultural Seasonal Curves
Agricultural commodities—wheat, corn, soybeans, and other crops—exhibit some of the most dramatic and predictable seasonal patterns in global commodity markets. Unlike metals, which are continuously refined and stored, or energy, which is produced year-round, agricultural goods are harvested once per growing season and must supply an entire year's consumption from that single production event. This concentrated supply cycle shapes the term structure of grain and oilseed futures in distinctive ways that traders and hedgers must understand.
📄️ How Contango Hurts ETF Returns
Commodity-linked exchange-traded funds (ETFs) promise investors a simple, liquid way to gain exposure to oil, natural gas, precious metals, or agricultural commodities without holding physical assets or entering into complex derivatives contracts. Yet countless retail investors have discovered that commodity ETFs dramatically underperform spot price changes during periods of market contango—and some ETFs have tracked their underlying commodities so poorly that they've become cautionary tales of structural losses.
📄️ Backwardation Boost to ETF Returns
If contango drag is a systematic penalty that depresses ETF returns during normal market conditions, then backwardation is its inverse—a systematic benefit that amplifies returns when supply becomes tight or demand surges unexpectedly. In backwardated markets, commodity ETFs experience positive roll yield, where the act of rolling forward actually adds value to the fund regardless of spot price movements.
📄️ How Commodity Indices Roll
Commodity indices—such as the S&P GSCI, Bloomberg Commodity Index (BCOM), and the DBC ETF's underlying methodology—form the backbone of commodity allocations for pension funds, endowments, and retail investors. These indices track baskets of commodity futures contracts across multiple asset classes: crude oil, natural gas, grains, metals, and livestock.
📄️ Curve Inversions and Supply Signals
How futures curve shape reveals real-time supply pressures and when inversion signals tightness.
📄️ Spread Trading in Contango
Mechanics and profitability of calendar spread trading when contango offers arbitrage opportunities.
📄️ Predictors of Backwardation
Key indicators and metrics that signal when commodity markets will shift into backwardation from supply tightness.
📄️ Volatility Curve Analogy to VIX
How commodity futures curves relate to volatility surfaces and what the analogy reveals about price expectations.
📄️ Historical Examples of Commodity Curves
Case studies of contango and backwardation across crude oil, metals, and agricultural commodities showing real patterns and consequences.