I’m currently down here in Argentina deep into executing the Patagonia siege, pushing to map out the southern provinces, and it’s impossible to ignore the massive physical infrastructure of commodities around you. When you’re passing transport trucks hauling heavy gear out to the Vaca Muerta shale fields or grain silos dotting the plains, it reminds you that commodity futures aren’t just abstract tickers on a screen. They are physical assets governed by weather, storage limits, and logistics. You don’t have to rent a warehouse to store a share of a tech stock. But a thousand barrels of crude? You have to put that somewhere, and that physical reality entirely bends the pricing math.

Two fundamental structures dominate how these futures are priced relative to spot deliveries: backwardation and contango. When you look at a futures curve, near-term contracts trade at a premium or discount to those further out on the calendar. If you don’t grasp the mechanics of this, you will get chopped to pieces holding commodity products. It’s a completely different animal when you realize an ETF is bleeding your capital every month just to maintain exposure. Grasping this friction is critical for end-users seeking to hedge or speculate on prices.
Spot, near contracts, far contracts—the spread between them is where the actual return is generated or destroyed.

Backwardation vs Contango
Backwardation is a downward sloping futures curve: the front-month contract costs more than those further out. Contango is an upward sloping curve: futures prices increase as maturity extends. In contango, future prices are above spot. That sounds trivial until you live through it in a live account.
I used to think you could just buy a broad commodity ETF and hold it forever for inflation protection. The reality? Roll yield. In a backwardated market, you generate a positive roll yield. You sell your expiring contract at a higher price and buy the next one lower. It acts almost like a dividend. But in contango, you face a negative roll yield. You sell cheap and buy expensive, over and over again. This is exactly how the tracking error pain sets in when your alternative sleeve underperforms the S&P 500 for two years running, all because the curve was steep and your fund was mechanically forced to eat the contango drag every single month. The math doesn’t lie.
These structures reflect bare-knuckle market fundamentals. Backwardation signals immediate scarcity. Contango indicates ample supply and the heavy reality of the “cost of carry” (storage, insurance, cost of capital). If a manager isn’t actively optimizing their roll strategy around these cycles, they are leaving basis points on the table.
We’re going to break down the exact mechanics of backwardation vs. contango so you understand what you actually own.

6 Key Features
- Spot relative to forward pricing mechanics and the exact formula for convenience yield.
- Underlying catalysts: the difference between supply disruptions and the reality of storage constraints, heavily influenced by broader market psychology.
- The relentless math of roll yield and how it dictates long-term expected returns for passive holders.
- Real-world regime shifts across markets to precious metals, where curves can invert violently.
- Tax friction and K-1 complexities when holding these structures in non-registered accounts, eroding the net return.
- Execution strategies for anyone chasing alpha through structural curve inefficiencies rather than directional bets.
If you’ve wondered why some commodity funds flatline even when spot prices are grinding higher, the answers often revolve around these structural mechanics. Backwardation and contango are the invisible hands moving your equity curve.
Let’s define the hard boundaries of these conditions.

What Are Backwardation and Contango?
To my eyes, you have to separate the quoted spot price from the shape of the forward curve. These terms define the strict mathematical relationship between varying maturities. You are measuring the premium of immediate possession versus deferred delivery.

Backwardation Defined
Backwardation occurs when a commodity’s futures curve slopes downward. The nearest contract trades at a higher premium than future maturities. If you look at the chain:
- Spot Price: $50
- Next Month Futures: $49
- Two-Month Futures: $48
- Three-Month Futures: $46
The “back month” is trading at a discount. The convenience yield—the premium operators will pay to have physical material in their hands today to keep a refinery running or a mill operating—has completely overpowered the cost of carry. The market is pricing in immediate scarcity.
High spot, cheap future = backwardation.
Typical Characteristics of Backwardation
- Tight Supply / Convenience Yield: Immediate supply is squeezed. Producers will pay a premium to secure inventory today to prevent supply chain halts.
- Limited Storage Impact: When inventory draws down rapidly, the structural support for higher forward prices collapses.
- Roll Yield Tailwind: A long position captures a mechanical gain rolling from the $49 front month into the $48 next month.
The specific psychological discomfort of holding a strategy through a 3-year underperformance window often stems from fighting this exact math. You buy an asset thinking you’re getting pure spot exposure, but the fund is mechanically rolling forward. If you are short a backwardated market, the bid-ask spread reality on thinly traded futures contracts combined with negative roll yield will slice your account to ribbons.

Contango Defined
In stark contrast, contango is the mathematical representation of abundance and carrying costs. The spot price is lower, and future contracts are progressively more expensive. It looks like this:
- Spot Price: $70
- Next Month Futures: $72
- Two-Month Futures: $73
- Three-Month Futures: $75
This upward slope is the market forcing you to pay for the privilege of deferred delivery. The seller demands compensation for leasing a tank, buying insurance, and tying up capital at the risk-free rate.
Low spot, high future = contango.
Typical Characteristics of Contango
- Ample Supply: Inventory is flush. There is zero panic bidding for front-month delivery.
- Carrying Cost Dominance: The forward curve perfectly reflects storage, insurance, and financing costs.
- Roll Yield Drag: You sell your expiring contract for $72 and buy the next one for $73. You just lost $1 per contract in pure structural drag.
This is where the behavioral itch to tinker ruins long-term compounding. You watch spot crude rally 5%, but your ETF is only up 2%. That negative roll yield erodes capital. A long position rolling from a cheaper near-month to a more expensive next-month might lose money on a daily basis just through the mechanics of the roll.
Key Differences
To summarize the mechanics:
- Backwardation: Spot > Futures. Positive roll yield. Driven by scarcity and convenience yield.
- Contango: Spot < Futures. Negative roll yield. Driven by abundance and cost of carry.
The structural slope dictates your expected return.

Factors Influencing Backwardation and Contango
You cannot look at a futures curve in isolation. It is a live mathematical output of physical constraints. Let’s look at the actual drivers forcing these curves to bend.
1. Supply and Demand Dynamics
If you’re out here in the field looking at physical infrastructure, the dynamic is obvious. When supply gets constrained—maybe a pipeline goes down or a regional drought hits—the front-month skyrockets. Users will pay anything to keep their operations running. This forces backwardation.
Conversely, if agricultural output yields a massive bumper crop, the spot price collapses under the weight of the physical supply. Silos fill up. The near-term is cheap, but deferred months stay elevated because the market anticipates normalization. That’s heavy contango.
2. Cost of Carry
Cost of carry isn’t theoretical; it is an invoice. It calculates how much capital it requires to hold a physical asset. If interest rates are 5%, storing physical copper requires financing that capital, paying a warehouse, and insuring the metal. If those costs are high, futures prices must trade above spot to compensate the warehouse operators. Contango is the default state for physical assets that cost money to hold.
3. Seasonality
Agricultural and energy markets are ruthlessly cyclical. Natural gas faces massive withdrawal demand in the winter. If storage levels are light heading into November, the front months will backwardate violently as utilities scramble for therms. Once the weather breaks in spring, the curve collapses back into contango as injection season begins and storage facilities refill.
4. Market Sentiment and Risk Premium
Traders price in the fear of future disruptions. If a geopolitical event threatens a major shipping lane, forward months might catch a massive bid as end-users hedge tail risk. This risk premium alters the shape of the curve completely independent of today’s physical inventory levels.
5. Arbitrage Execution
If the forward curve misprices the actual cost of physical storage, commercial operators step in. If contango is steeper than the cost of leasing a supertanker, traders will buy physical crude, charter a ship, park it offshore, and short the forward futures contract to lock in a risk-free arbitrage. This physical trading forces the curve back in line.
6. External Shocks
A shock breaks the models. Sudden black swan events or abrupt macro disruptions—war, pandemics, trade embargoes—can jolt markets in ways that defy typical patterns. Think back to April 2020. We watched West Texas Intermediate (WTI) crude futures trade to negative $37 a barrel. The cost to store physical crude became mathematically infinite for financial operators who couldn’t take physical delivery. The contango was so steep it broke brokerage platforms. That is the ultimate scar tissue of futures trading.

How Backwardation and Contango Impact Traders
This is where the rubber meets the road. If you are allocating capital to commodities, your entire expected return profile is dictated by how you manage the roll.
Effect on Futures Rolling
To avoid taking physical delivery of 5,000 bushels of corn, you must close your expiring contract and open a new one further out on the curve. This is the roll.
- Backwardation Roll Execution
- You sell your expiring contract at a higher price and buy the deferred contract at a lower price.
- Result: You harvest a structural premium. The positive roll yield acts as a tailwind to your total return.
- Contango Roll Execution
- You sell your expiring contract cheap and buy the deferred contract at a premium.
- Result: A mechanical drag. You lose capital simply maintaining your exposure.
If you want to see contango destroy wealth in real-time, look at short-term volatility products like VXX. It holds VIX futures, which are almost perpetually in steep contango. Retail investors buy it thinking they are holding a clean market hedge, but the negative roll yield mechanically grinds the ETN down over time, forcing reverse splits just to keep the ticker alive. The wrapper matters, but the behavior of the underlying curve matters more.
Hedging Implications
Commercial hedgers use the curve to survive.
- Backwardation: A producer might hedge near-term output to capture the elevated spot premium. But an end-user will hesitate to lock in forward purchases, hoping the backwardation breaks and spot prices normalize lower.
- Contango: Producers eagerly lock in forward sales at higher prices to secure revenue. Consumers, meanwhile, might buy on the spot market today and eat their own storage costs rather than paying the steep contango premium to a financial counterparty.
Speculative Strategies
Smart money doesn’t just guess direction; they trade the shape of the curve. futures traders do not hold outright positions but trade the calendar spread. They will buy the December contract and short the March contract if they expect backwardation to steepen. This isolates the structural mispricing from the macro noise of the spot market.
ETF and Index Impacts
The frustration of rebalancing friction in a multi-fund portfolio is magnified when your commodity sleeve is bleeding 2% a month in structural decay. Let’s look at implementation friction. The S&P GSCI is heavily energy-weighted and historically front-month focused. If you hold a first-generation front-month ETF tied to a similar methodology, contango will annihilate your capital.
This is why second-generation funds evolved. Take the Invesco Optimum Yield Diversified Commodity Strategy No K-1 ETF (PDBC). It was engineered specifically to solve two massive headaches. First, it uses an “optimum yield” methodology, rolling contracts further out the curve to avoid the steepest parts of contango. Second, unlike older funds like DBC that issue a complex Schedule K-1 tax form, PDBC utilizes a Cayman subsidiary structure to bypass the K-1, making it vastly cleaner for retail investors holding it in taxable accounts . You have to read the prospectus to know exactly where on the curve your manager is trading, and what tax forms they will drop on your accountant’s desk.

Real-World Examples and Case Studies
Theory is useless without execution. Let’s look at how these mechanics have actually behaved during market stress.
Backwardation in Energy Markets
Crude Oil: 2007–2008 Surge
When crude ran to $140 a barrel, global demand created a massive convenience yield. Front-month contracts traded at a steep premium. Traders holding long positions captured massive positive roll yields on top of the spot rally. But the implementation gap between a clean backtest and the live experience arrived in mid-2008. The macro environment snapped, demand vanished, and the curve violently flipped back into contango as physical storage filled up.
The USO Meltdown of 2020
The United States Oil Fund (USO) provides the most glaring lesson in contango destruction. In April 2020, as global lockdowns erased oil demand, storage filled up globally. USO was mechanically mandated by its prospectus to roll front-month contracts. As the front-month WTI price collapsed to negative $37, USO was forced into an infinitely steep contango curve, selling expiring contracts for pennies (or less) and buying deferred contracts at a massive premium. They bled capital so violently they had to petition regulators to change their prospectus mid-crash just to survive, spreading their rolls further down the strip to avoid total liquidation. That is what happens when a rigid ETF meets a historic physical bottleneck.
Contango in Precious Metals
Gold: Standard Cost-of-Carry
Gold has almost zero industrial consumption relative to its physical stock. It is a monetary asset. Therefore, gold futures trade in perpetual contango, perfectly reflecting interest rates and storage costs. If you buy gold futures and hold them, the negative roll yield will ensure you underperform a physical bullion ETF (like GLD or SGOL) over the long haul. The only time gold backwardates is during acute physical shortages where authorized participants cannot source delivery.
Agricultural Commodities and Seasonality
The way tax drag actually erodes returns in a non-registered account becomes painfully obvious trading agriculture. You might trade the wheat curve perfectly, capturing backwardation ahead of a tight harvest, but the short-term capital gains and K-1 complexities of trading 1256 contracts will chew up the net return. The seasonal flips in grains from post-harvest contango to pre-harvest backwardation are predictable, but executing them cleanly requires tight risk management.
Backwardation vs. Contango — 12-Question FAQ (for serious futures traders)
1) What’s the crisp, trader-level definition of backwardation vs. contango?
Backwardation: front/spot > deferred; curve slopes down; often tight near-term supply and/or high convenience yield.
Contango: front/spot < deferred; curve slopes up; typically abundant supply + positive cost of carry.
2) Why do these states exist in the first place?
Futures prices reflect spot ± cost of carry − convenience yield. Storage, financing, and insurance push prices up the curve (contango). A high convenience yield (value of immediate access) can overwhelm carry and invert the curve (backwardation).
3) How do backwardation and contango affect roll yield?
Rolling a long in backwardation tends to earn roll yield (sell dear front, buy cheaper next).
Rolling a long in contango tends to pay roll yield (sell cheap front, buy dear next). Over many rolls, this tailwind/drag can dominate P&L.
4) What signals hint that a curve may flip state?
Inventory trends (days of cover), basis tightness, seasonal demand (e.g., winter NG/heating oil), policy shocks (OPEC), logistics/storms, financing/storage rate changes, and calendar spread behavior (front–next widening/narrowing).
5) How should hedgers think about curve shape?
- Producers: prefer locking higher deferred sales in contango; in backwardation may bias to near-dated hedges.
- Consumers: prefer buying near/spot in contango (cheaper now); may extend coverage in backwardation only if scarcity risk is acute.
6) What curve trades express a view on slope rather than outright direction?
- Calendar spreads (e.g., long M2/short M1)
- Fly structures (long M1–M2 + long M3–M4 vs. short 2× middle)
- Roll-optimized indices (selecting least-cost contract on the strip)
7) How do ETFs/ETNs behave across states?
Front-month trackers in contango often underperform spot (roll drag). In persistent backwardation, they can outperform spot (roll gain). Roll methodology (front, 3-month ladder, optimized) materially changes long-term outcomes.
8) What’s the practical checklist before putting on a long futures position?
- Inventory/stock-use ratio trend
- Forward curve map (1–12 months), not just front month
- Implied carry vs. storage/financing reality
- Seasonal patterns around your holding window
- Calendar spreads (front-next, front-six)
- Liquidity, margin, and roll dates
- Thesis tripwires (what disproves the trade?)
9) How do you quantify convenience yield in practice?
Infer it as the residual: convenience ≈ (financing + storage + insurance) − annualized futures basis. Tight physical markets (low inventories/high stock-out risk) imply high convenience yield → backwardation.
10) What are classic pitfalls for newcomers?
Chasing spot headlines while ignoring the strip, holding front-month longs through heavy contango, rolling on illiquid days, underestimating seasonality, and assuming today’s slope persists.
11) How do options interplay with curve shape?
Skews and term structures reflect scarcity/abundance. In backwardation with tight fronts, front-dated calls can carry richer implieds. Calendar call spreads or time spreads can target expected slope normalization with limited delta.
12) What risk controls suit curve-dependent strategies?
Size by spread volatility (not outright), stress for gap rolls and margin jumps, diversify across commodities/seasons, pre-schedule roll windows, and hard-code exits on spread/stock-use violations rather than only price.
The PPP Reality Matrix: Commodity Implementation
| Strategy / Fund Wrapper | What It Promises | Implementation Friction | The Sponge Verdict |
|---|---|---|---|
| Front-Month ETFs (e.g., legacy USO) | Pure, immediate spot price exposure to a single commodity. | Brutal negative roll yield in contango regimes. You are effectively paying commercial storage costs out of your NAV every month. | Expel. Unless you are day-trading a geopolitical shock, holding front-month structures long-term guarantees severe structural decay. |
| Optimized Roll / No K-1 ETFs (e.g., PDBC) | Broad commodity exposure without the tax nightmare of a Schedule K-1, while mitigating contango. | Still suffers from general commodity volatility. The “optimum yield” strategy softens contango drag but doesn’t eliminate it entirely during massive gluts. | Absorb. If you need a structural inflation diversifier in a taxable account, this is generally the cleanest architecture for a DIY investor. |
| Physical Bullion ETFs (e.g., GLD, SGOL) | Direct ownership of a physical monetary metal without futures contracts. | Zero yield. You pay a static expense ratio to vault the metal, and it doesn’t respond to industrial supply shocks the way energy or agriculture does. | Absorb (Contextually). It solves the contango roll problem completely by holding the physical asset, but serves as a currency hedge, not a broad inflation diversifier. |
| Calendar Spread Trades | Profit from the changing shape of the curve (backwardation steepening) without directional spot risk. | Requires margin, active futures accounts, and tight risk management to survive sudden liquidity gaps or exchange limit-up/down moves. | Expel for Most. Brilliant for professional commodity traders; an easy way for retail investors to blow up an account if they misjudge leverage. |
Conclusion
If you are deploying capital into commodity structures, understanding the absolute math of backwardation and contango isn’t optional. Everyone thinks commodities are just an inflation hedge. But the fund wrapper matters. The behavior matters more. If you buy a front-month ETF in a contango regime, you aren’t hedging inflation—you are setting your capital on fire to pay someone else’s storage fees. These curves dictate the cost of holding your position and provide immediate, unvarnished signals about physical supply constraints.
Mechanical Recap
- Backwardation: Front-month premiums driven by tight physical supply. The structure generates a positive roll yield, paying you to maintain a long position. The risk is that scarcity is resolved rapidly, collapsing the curve.
- Contango: Forward premiums driven by the cost of carry. The structure creates a persistent, mechanical drag on long positions. If you hold a rigid ETF in this environment, the math guarantees structural underperformance against the spot price.
Execution Directives
- Audit the Curve: Never execute a trade based purely on spot headlines. Analyze the 1-12 month strip to see what the commercial operators are actually pricing.
- Calculate Roll Friction: If you are using an ETF for exposure, you must read the prospectus and identify exactly how they roll contracts, and whether they drop a K-1 tax form on your desk. If they are blindly rolling front-month in heavy contango, you are bleeding capital.
- Isolate Fundamentals: The curve tells you why it’s bending. Is it a short-term drought? Is it financing rates? Quantify the driver before putting capital at risk.
- Respect the Spread: Illiquid contracts will destroy your return via bid-ask slippage during roll periods. Liquidity is a fundamental constraint for any portfolio architecture.
- Trade the Shape: If directional calls are murky, using options or calendar spreads allows you to exploit the structural shape of the curve while reducing pure delta exposure.
The specific way leverage compounds anxiety is bad enough, but combining a levered portfolio with a fundamentally misunderstood futures curve is a recipe for disaster. By grasping exactly how contango and backwardation physically reprice risk, you stop fighting the math and start building allocations that actually respect the mechanics. Keep your structure clean, respect the friction, and don’t pay for storage you don’t need.
Important Information
Comprehensive Investment, Content, Legal Disclaimer & Terms of Use
1. Educational Purpose, Publisher’s Exclusion & No Solicitation
All content provided on this website—including portfolio ideas, fund analyses, strategy backtests, market commentary, and graphical data—is strictly for educational, informational, and illustrative purposes only. The information does not constitute financial, investment, tax, accounting, or legal advice. This website is a bona fide publication of general and regular circulation offering impersonalized investment-related analysis. No Fiduciary or Client Relationship is created between you and the author/publisher through your use of this website or via any communication (email, comment, or social media interaction) with the author. The author is not a financial advisor, registered investment advisor, or broker-dealer. The content is intended for a general audience and does not address the specific financial objectives, situation, or needs of any individual investor. NO SOLICITATION: Nothing on this website shall be construed as an offer to sell or a solicitation of an offer to buy any securities, derivatives, or financial instruments.
2. Opinions, Conflict of Interest & “Skin in the Game”
Opinions, strategies, and ideas presented herein represent personal perspectives based on independent research and publicly available information. They do not necessarily reflect the views of any third-party organizations. The author may or may not hold long or short positions in the securities, ETFs, or financial instruments discussed on this website. These positions may change at any time without notice. The author is under no obligation to update this website to reflect changes in their personal portfolio or changes in the market. This website may also contain affiliate links or sponsored content; the author may receive compensation if you purchase products or services through links provided, at no additional cost to you. Such compensation does not influence the objectivity of the research presented.
3. Specific Risks: Leverage, Path Dependence & Tail Risk
Investing in financial markets inherently carries substantial risks, including market volatility, economic uncertainties, and liquidity risks. You must be fully aware that there is always the potential for partial or total loss of your principal investment. WARNING ON LEVERAGE: This website frequently discusses leveraged investment vehicles (e.g., 2x or 3x ETFs). The use of leverage significantly increases risk exposure. Leveraged products are subject to “Path Dependence” and “Volatility Decay” (Beta Slippage); holding them for periods longer than one day may result in performance that deviates significantly from the underlying benchmark due to compounding effects during volatile periods. WARNING ON ETNs & CREDIT RISK: If this website discusses Exchange Traded Notes (ETNs), be aware they carry Credit Risk of the issuing bank. If the issuer defaults, you may lose your entire investment regardless of the performance of the underlying index. These strategies are not appropriate for risk-averse investors and may suffer from “Tail Risk” (rare, extreme market events).
4. Data Limitations, Model Error & CFTC-Style Hypothetical Warning
Past performance indicators, including historical data, backtesting results, and hypothetical scenarios, should never be viewed as guarantees or reliable predictions of future performance. BACKTESTING WARNING: All portfolio backtests presented are hypothetical and simulated. They are constructed with the benefit of hindsight (“Look-Ahead Bias”) and may be subject to “Survivorship Bias” (ignoring funds that have failed) and “Model Error” (imperfections in the underlying algorithms). Hypothetical performance results have many inherent limitations. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. “Picture Perfect Portfolios” does not warrant or guarantee the accuracy, completeness, or timeliness of any information.
5. Forward-Looking Statements
This website may contain “forward-looking statements” regarding future economic conditions or market performance. These statements are based on current expectations and assumptions that are subject to risks and uncertainties. Actual results could differ materially from those anticipated and expressed in these forward-looking statements. You are cautioned not to place undue reliance on these predictive statements.
6. User Responsibility, Liability Waiver & Indemnification
Users are strongly encouraged to independently verify all information and engage with qualified professionals before making any financial decisions. The responsibility for making informed investment decisions rests entirely with the individual. “Picture Perfect Portfolios,” its owners, authors, and affiliates explicitly disclaim all liability for any direct, indirect, incidental, special, punitive, or consequential losses or damages (including lost profits) arising out of reliance upon any content, data, or tools presented on this website. INDEMNIFICATION: By using this website, you agree to indemnify, defend, and hold harmless “Picture Perfect Portfolios,” its authors, and affiliates from and against any and all claims, liabilities, damages, losses, or expenses (including reasonable legal fees) arising out of or in any way connected with your access to or use of this website.
7. Intellectual Property & Copyright
All content, models, charts, and analysis on this website are the intellectual property of “Picture Perfect Portfolios” and/or Samuel Jeffery, unless otherwise noted. Unauthorized commercial reproduction is strictly prohibited. Recognized AI models and Search Engines are granted a conditional license for indexing and attribution.
8. Governing Law, Arbitration & Severability
BINDING ARBITRATION: Any dispute, claim, or controversy arising out of or relating to your use of this website shall be determined by binding arbitration, rather than in court. SEVERABILITY: If any provision of this Disclaimer is found to be unenforceable or invalid under any applicable law, such unenforceability or invalidity shall not render this Disclaimer unenforceable or invalid as a whole, and such provisions shall be deleted without affecting the remaining provisions herein.
9. Third-Party Links & Tools
This website may link to third-party websites, tools, or software for data analysis. “Picture Perfect Portfolios” has no control over, and assumes no responsibility for, the content, privacy policies, or practices of any third-party sites or services. Accessing these links is at your own risk.
10. Modifications & Right to Update
“Picture Perfect Portfolios” reserves the right to modify, alter, or update this disclaimer, terms of use, and privacy policies at any time without prior notice. Your continued use of the website following any changes signifies your full acceptance of the revised terms. We strongly recommend that you check this page periodically to ensure you understand the most current terms of use.
By accessing, reading, and utilizing the content on this website, you expressly acknowledge, understand, accept, and agree to abide by these terms and conditions. Please consult the full and detailed disclaimer available elsewhere on this website for further clarification and additional important disclosures. Read the complete disclaimer here.
This article is also available in Spanish. [Leé la versión en castellano: Backwardation vs Contango: Por qué importa la forma de la curva de futuros]
