Contango vs Backwardation in Commodities

The Futures Curve: The Foundation of Everything

Before diving into contango and backwardation individually, it helps to build a clear mental model of what a futures curve actually is. A futures curve is simply a graph that plots the prices of futures contracts for a single commodity across different delivery months. On the horizontal axis you have time - the delivery date of each contract. On the vertical axis you have price in rupees per unit (per barrel for crude oil, per 10 grams for gold, per quintal for agricultural commodities, and so on).

Every commodity traded on MCX or NCDEX has multiple contracts open simultaneously, each with a different expiry month. For crude oil on MCX, for instance, you might see contracts expiring in the current month, one month out, two months out, and so on. Plot each of those contract prices on a chart against their expiry dates and you have the futures curve - sometimes also called the term structure of futures prices.

The shape of this curve is not random. It is determined by a precise economic relationship known as the cost-of-carry model. In its most basic form, the model says: the futures price of a commodity should equal its current spot price, plus the cost of storing that commodity until the delivery date, plus the financing cost of holding the physical inventory, minus any benefit derived from holding the physical commodity (known as the convenience yield).

Mathematically: Futures Price = Spot Price × e^((r + s - c) × T), where r is the risk-free interest rate, s is the storage cost as a proportion of commodity value, c is the convenience yield, and T is time to expiry in years. For those who prefer simple arithmetic: Futures Price ≈ Spot Price + (Spot Price × (r + s - c) × T). This formula is important because it explains why the futures curve takes the shape it does, and why deviations from this theoretical relationship create arbitrage opportunities that sophisticated traders are always hunting for.

In Indian markets, r is closely linked to RBI's repo rate and the short-term borrowing costs for commodity traders. Storage costs (s) vary dramatically - storing gold in a certified vault costs far less as a percentage than storing crude oil in tanks or storing perishable agricultural goods in cold storage. And the convenience yield (c) is the trickiest variable of all: it represents the non-monetary benefit of holding the physical commodity right now, such as being able to supply customers immediately without waiting for a delivery, or the ability to run a refinery continuously without worrying about supply disruptions.

When storage costs and financing costs dominate - and the convenience yield is low - the futures curve slopes upward, meaning futures prices are higher than spot prices. This is contango. When the convenience yield is high relative to storage and financing costs - meaning the market really values having the physical commodity on hand right now - the futures curve slopes downward. This is backwardation. The interplay between these forces changes constantly as supply, demand, storage levels, and interest rates shift, which is why the curve shape is never static.

Contango Explained: When the Future Costs More

Contango is the more intuitive of the two states for most people to understand because it mirrors the everyday logic of storage and time value of money. If you want to buy a commodity today and hold it for six months before selling it, you must pay for storage facilities, insurance, and the financing cost of tying up capital. Logically, the price at which someone will agree to sell you the commodity six months from now must reflect all these costs - otherwise no one would bother setting up warehouses and holding inventory.

In a market in full contango, the futures price for each successive expiry month is higher than the previous one by approximately the cost of carry. A commodity that costs ₹5,000 per unit today, with annual storage and financing costs of 12% per year combined, would theoretically trade at roughly ₹5,250 in a contract expiring six months from now (₹5,000 × 1.05 for half a year at 10% cost of carry as a simplified approximation). If you see crude oil at ₹6,500 per barrel on spot and the three-month futures contract priced at ₹6,700, this premium of roughly 3% over three months could simply be the market's normal cost of carry at work.

Contango prevails most reliably in the gold and silver markets. Gold is unique because it has an extremely high existing above-ground stock relative to annual mine production, and global demand is relatively stable. Gold's futures curve almost always shows a gentle upward slope reflecting the global risk-free interest rate plus vault storage costs, minus a tiny convenience yield. In India, where MCX gold contracts are among the most actively traded in the world, this contango structure is nearly permanent. Traders who understand this know that buying spot gold and simultaneously selling a longer-dated futures contract can theoretically earn a risk-free carry return - the basis of so-called "cash and carry" arbitrage.

Contango can also be a symptom of bearish sentiment or abundant supply. In energy markets, when oil inventories are bursting at full capacity, producers and traders are willing to sell futures at high premiums to induce storage operators to absorb excess supply. During periods of oversupply in natural gas, for instance, MCX natural gas futures curves have shown steep contango as the market tries to incentivise storage. In agri-commodities, pre-harvest contango is common because near-term supply is tight relative to what will be available once the new crop arrives - the futures price for delivery after harvest is lower relative to near-term contracts, but the overall level of futures prices further out reflects storage of that surplus.

For retail traders and investors, contango has a crucial and often painful implication: it creates a negative roll yield. When you hold a futures-based position and your contract approaches expiry, you must sell the expiring contract and buy the next one. If the market is in contango, the next contract is more expensive. You are, in effect, selling low and buying high every time you roll - a continuous drag on your returns. This is why long-term holders of commodity futures in contango markets often underperform the spot price significantly. This phenomenon has been well-documented in crude oil and natural gas ETFs in global markets and is equally relevant in the Indian context for those holding rolling futures positions on MCX.

Backwardation Explained: When Today's Supply Is King

Backwardation is in many ways the more fascinating state because it seems to defy the logic of time value of money. How can futures prices be lower than spot prices? Why would anyone agree to sell something in the future for less than what it fetches today? The answer lies in the concept of the convenience yield - the premium that the market places on having the physical commodity available immediately.

When a commodity is in short supply, buyers who need it right now - refineries that must keep processing crude oil, power plants that must keep generating electricity, flour mills that must keep grinding wheat - are willing to pay a premium for immediate delivery. The spot price is bid up aggressively. At the same time, the futures market for delivery months away is not bid up as strongly, because the expectation is that the current shortage will ease as more supply arrives, imports increase, or demand drops. The result is that spot prices exceed near-term futures prices, and near-term futures prices exceed longer-dated futures prices. The curve slopes downward: this is backwardation.

The Indian crude oil market offers excellent examples of backwardation. India imports roughly 85% of its crude oil requirements, making it extremely sensitive to global supply conditions. When OPEC cuts production or geopolitical tensions threaten supply from the Middle East, the global benchmark crude price jumps and the futures curves of both Brent and WTI go into backwardation. MCX crude oil futures, which are linked to the NYMEX WTI benchmark (adjusted for dollar-rupee exchange rate), will reflect this structure. Refiners and importers in India, seeing this backwardation, know that the market is pricing in a supply squeeze and may rush to lock in purchases before prices rise further.

Backwardation is also common in agricultural commodities around periods of crop failure or during peak consumption seasons. If the onion crop in Maharashtra is hit by unseasonal rains, the near-term spot price of onions can spike dramatically while the futures curve for delivery after the next planting season trades at significantly lower prices - because the market expects normal supply to return by then. Similarly, if soybean production falls short of NCDEX estimates ahead of the kharif harvest, near-term soybean futures can move into backwardation relative to longer-dated contracts.

For traders, backwardation is a gift in the form of a positive roll yield. When you hold a long futures position in a backwardated market and roll to the next contract, you are selling the expiring contract (which is more expensive) and buying the next one (which is cheaper). You effectively sell high and buy low with each roll, generating a positive carry that supplements any directional gain from price movements. This is one reason why commodity trading advisors and systematic hedge funds often prefer commodities in backwardation for their long positions. The roll yield can contribute meaningfully to returns over time, especially in a market like crude oil where backwardation can persist for months or even years during supply-constrained cycles.

It is important to note that backwardation does not guarantee that prices will rise - it simply reflects the current supply-demand balance. A commodity can be in backwardation and still fall in price if global demand collapses faster than supply tightens. Always assess backwardation alongside other fundamental data before drawing conclusions about directional price movements.

The Convenience Yield: The Hidden Driver

The concept of the convenience yield deserves its own dedicated discussion because it is the single most important factor that drives commodities into backwardation - and yet it is probably the least intuitively understood concept in commodity finance.

Convenience yield is an implicit, non-monetary benefit that accrues to the holder of the physical commodity rather than the holder of a futures contract. It reflects the value of having a real, deliverable commodity on hand at this moment in time. This value manifests in several ways. A refinery that holds crude oil inventory can run its facility continuously even if supply is disrupted. A jeweller who holds gold inventory can fulfil customer orders immediately without waiting for delivery. A power utility that holds coal can keep generating electricity during cold snaps when demand spikes. In each case, the physical holder enjoys a certainty and an operational continuity that the holder of a futures contract simply cannot replicate.

When inventories are abundant, the convenience yield is low. There is no great urgency to hold physical inventory because you can easily obtain the commodity whenever you need it - supply is plentiful, delivery times are short, and the premium for immediacy shrinks to near zero. In this environment, the cost-of-carry model dominates the futures curve and the market trades in contango. Think of the normal gold market: gold is so abundant in global vaults relative to any plausible demand spike that the convenience yield is tiny, and the gold futures curve reliably reflects cost of carry.

When inventories fall to critical levels, the convenience yield surges. Buyers who absolutely need the commodity right now are willing to pay a substantial premium over the futures price. The spot price rises sharply relative to futures prices, driving the market into backwardation. The steepness of the backwardation is a direct function of how tight inventories are and how urgently consumers need immediate supply. During periods of extreme supply stress - a refinery fire, a pipeline disruption, a drought affecting crop production - convenience yields can be extraordinarily high, producing dramatic backwardation where spot prices exceed futures prices by 10%, 20%, or even more.

For Indian market participants, understanding convenience yield helps explain several puzzling phenomena. Why does MCX gold trade in mild contango even when prices are rising? Because gold's convenience yield is very low - it is not consumed in a way that creates urgency for physical possession in most normal circumstances. Why does crude oil swing between contango and backwardation so dramatically? Because crude is consumed as soon as it arrives at a refinery, inventories are the only buffer, and those inventories can swing from surplus to deficit in months based on OPEC policy changes or demand shifts. Why do agri-commodities on NCDEX oscillate so sharply between the two states? Because crop production is seasonal and uncertain, creating alternating periods of abundance (contango) and scarcity (backwardation) within the annual agricultural cycle.

Regulators including SEBI, which oversees commodity derivatives markets in India, monitor these structural signals as part of their broader market surveillance. A sudden and dramatic shift into backwardation in a key agricultural commodity can trigger regulatory attention and sometimes intervention, because it often signals a serious supply disruption that may have broader food security implications.

Measuring the Basis: Spot Price Minus Futures Price

In practical trading, the relationship between spot and futures prices is often tracked through a metric called the basis. The basis is simply the spot price minus the futures price. When the basis is negative (spot below futures), the market is in contango. When the basis is positive (spot above futures), the market is in backwardation. Monitoring the basis over time - a practice called basis analysis - is a fundamental tool for anyone involved in commodity hedging or trading in India.

The basis is not static. It fluctuates daily as spot prices respond to immediate supply-demand changes while futures prices respond to longer-term expectations. As a futures contract approaches its expiry date, a well-functioning market sees the basis converge toward zero - meaning the futures price converges to the spot price. This convergence is called basis convergence and it is enforced by arbitrage: if a near-expiry futures contract is significantly above the spot price, traders will buy physical commodity and sell the futures, pocketing the difference. If the futures is below spot, they will sell physical and buy futures. This arbitrage pressure drives convergence.

For hedgers, basis risk is one of the most important risks to manage. Suppose a soybean processor in Madhya Pradesh hedges his input costs by buying soybean futures on NCDEX. The price he ultimately pays for physical soybean will be the spot price in his local market, which may differ from the NCDEX futures price in ways that are not perfectly predictable. This difference between the local spot price and the exchange-traded futures price is the basis, and it introduces an element of uncertainty that cannot be fully eliminated even with a theoretically perfect futures hedge. Experienced hedgers track historical basis patterns, seasonal basis tendencies, and current basis levels carefully before deciding how to structure their hedges.

For speculators, basis trading - taking positions specifically on changes in the basis rather than on outright price direction - is an advanced strategy that is less sensitive to broad market moves and more focused on the supply-demand dynamics of specific delivery locations and time periods. Commodity spread traders who buy one expiry and sell another on the same commodity are, in effect, taking a view on whether the market will move toward contango or backwardation over time.

In Indian regulatory parlance, SEBI's commodity derivatives framework recognises the importance of robust spot price references. The settlement prices for MCX and NCDEX contracts at expiry are based on spot prices from designated centres - for gold, typically the IBJA (India Bullion and Jewellers Association) rate; for crude oil, the NYMEX WTI settlement converted to INR at the RBI reference rate. Understanding how these settlement prices are determined helps traders better anticipate basis behaviour around expiry and avoid unpleasant surprises.

Contango and Backwardation in India's Key Commodity Markets

India's commodity markets span a remarkable range of assets, and each market has its own characteristic tendency toward contango or backwardation depending on the commodity's fundamentals. Understanding these tendencies helps Indian investors and traders set appropriate expectations.

Gold and Silver: India is the world's second-largest consumer of gold, and MCX gold is one of the flagship contracts. Gold almost invariably trades in contango because its convenience yield is negligible - there is no urgent operational need for physical gold in the way there is for crude oil or wheat. The contango in MCX gold futures broadly reflects the dollar interest rate (since gold is priced globally in dollars) plus the cost of hedging rupee exposure, plus vault storage charges. When the RBI raises rates or when rupee interest rates surge, the cost of carry rises and the gold contango deepens. Investors who buy gold futures on MCX and intend to hold for many months should factor in this ongoing roll cost.

Crude Oil: MCX crude oil futures (linked to WTI) are the most volatile and the most interesting from a curve structure perspective. During periods of global oversupply - such as when OPEC increases production quotas - crude swings into deep contango. During supply squeezes - OPEC cuts, Middle East conflicts, US inventory drawdowns - crude goes into backwardation. Indian refiners and importers watch the MCX crude futures curve very carefully. A market in backwardation incentivises immediate purchases, while contango may allow them to defer buying and instead rely on inventory.

Natural Gas: MCX natural gas is highly seasonal. In India, natural gas demand peaks in winter for heating and in summer for power generation. The futures curve frequently shows seasonal humps - contango into summer months, then a dip into backwardation during demand peaks. Understanding this seasonal pattern helps traders and end-users time their hedges more effectively.

Agricultural Commodities on NCDEX: This is where the analysis becomes most country-specific. India's agricultural cycle is dominated by two main crop seasons: kharif (summer-sown, harvested in autumn) and rabi (winter-sown, harvested in spring). Commodities like soybean, castor, and cotton often see backwardation in pre-harvest months when last-year's supply is running low, then shift to contango after a bumper harvest when storage costs dominate. The Minimum Support Price (MSP) mechanism of the Indian government, procurement policies by NAFED and other agencies, and import/export policies set by the Directorate General of Foreign Trade can all abruptly shift the futures curve for agri-commodities, sometimes causing sudden transitions between contango and backwardation.

Base Metals (Copper, Zinc, Aluminium): These metals, traded on MCX with global price references from the London Metal Exchange (LME), show curves that are heavily influenced by Chinese demand (China being the world's largest consumer), global mining supply, and inventory levels in LME-certified warehouses. When LME warehouse stocks are high, copper tends to contango. When stocks drain rapidly - as they did during the post-pandemic demand surge - copper and zinc can swing into backwardation. Indian smelters, cable manufacturers, and construction companies that use these metals as raw materials track these curves to optimise their procurement hedges.

Roll Yield: The Silent Performance Driver

One of the most underappreciated aspects of commodity futures investing is the roll yield - and understanding it thoroughly requires a solid grasp of contango and backwardation. Roll yield is the return (positive or negative) that a futures investor earns from the process of rolling expiring contracts forward into new ones. It is separate from the spot price return (how much the spot price itself moves) and from the collateral return (interest earned on cash held as margin). Together, these three components make up the total return of a commodity futures position.

In a contango market, roll yield is negative. Every time you roll from an expiring contract to the next month's contract, you are buying the more expensive contract. If you hold a single-month crude oil futures position for a full year and roll it twelve times in a market with steep contango of 2% per month, the roll cost alone drains 24% from your gross return before any spot price movement is even considered. This is not hypothetical - commodity investors and ETF holders who track an index of rolling futures contracts have experienced this drag acutely in global crude oil markets.

In a backwardated market, roll yield is positive. Rolling from a higher-priced near-month contract to a lower-priced far-month contract means you are selling high and buying low with every roll. This mechanical gain supplements any spot price appreciation you enjoy. In historically backwardated commodity markets, long-term holders of futures positions have sometimes earned roll yield that contributed more to overall returns than spot price changes.

For Indian retail traders who access commodity exposure through MCX futures rather than through physical ownership or commodity mutual funds, tracking roll yield should be a regular practice. It is relatively easy to calculate: simply compare the price of the contract you are selling (the expiring month) to the price of the contract you are buying (the next active month). If you are selling at ₹6,800 and buying at ₹6,950 for crude oil, your roll cost for that single roll is ₹150 per barrel, or approximately 2.2% of the position value. Annualise that across twelve rolls and you have a meaningful drag that must be offset by spot price appreciation just to break even.

Sophisticated market participants manage roll yield consciously. Some traders choose to roll only when the cost of carry is relatively flat - avoiding periods of steep contango for new long positions. Others use calendar spread strategies (simultaneously holding long and short positions in different expiry months) to directly trade the roll yield rather than taking an outright directional view. Calendar spreads on MCX are available for crude oil and gold, among others, and SEBI's regulations permit spread margining, which reduces the capital requirement for these positions compared to holding outright futures.

For long-term commodity investors who are not active traders, one alternative to continuously rolling futures - and thus accumulating roll costs - is exposure through commodity ETFs or fund-of-funds that invest in global commodity indices. However, such products must be evaluated carefully for their own roll methodology and cost structure, and investors should refer to the latest SEBI regulations on commodity mutual funds and ETFs for guidance on what products are permissible and how they operate.

Using Contango and Backwardation for Market Analysis

Beyond their direct implications for roll costs and hedging strategies, the shape of the futures curve is a powerful analytical tool that provides insights into market fundamentals that may not be immediately obvious from looking at spot prices alone.

Inventory Signalling: The most reliable use of the futures curve as a diagnostic tool is its relationship to inventory levels. Academic research and practical market observation consistently show that the degree of backwardation in a commodity is negatively correlated with inventory levels - the lower the inventory, the deeper the backwardation. Conversely, high inventory levels produce flatter curves or contango. For Indian crude oil markets, watching weekly inventory data from the US Energy Information Administration (EIA), combined with OPEC production statements and domestic refinery throughput data, allows analysts to anticipate whether the crude futures curve will tighten into backwardation or widen into contango. Similarly, monitoring NCDEX warehouse receipts and government procurement data can inform agricultural futures curve analysis.

Market Sentiment and Speculative Positioning: Sudden shifts in the futures curve - a market moving from mild contango to steep backwardation over a few sessions - often reflect rapid changes in sentiment driven by news events. When India announced export restrictions on certain agricultural commodities in response to domestic price pressures (a policy tool the government has used multiple times), the forward curve for those commodities immediately shifted as export demand dried up and domestic supply expectations changed. Alert traders who monitor curve shape rather than just spot prices can sometimes anticipate these shifts before they fully materialise in spot prices.

Seasonal Analysis: Many Indian commodities have predictable seasonal patterns in their futures curves, reflecting the agricultural calendar, monsoon effects, and industrial demand cycles. Coriander, turmeric, and chilli futures on NCDEX, for instance, show distinctive curve shapes around harvest and festival seasons. A trader who understands these seasonal norms can identify when the current curve deviates significantly from historical patterns - a potential signal of abnormal supply or demand conditions worth investigating further.

Comparative Curve Analysis: Comparing the futures curves of related commodities can reveal relative value opportunities. If crude oil is in steep backwardation while natural gas is in contango, it may reflect differential supply conditions in energy markets that have implications for LNG pricing, power generation economics, and even fertiliser costs. In metals markets, a widening contango in copper relative to zinc might signal changing expectations about global construction activity versus galvanising demand. These cross-commodity curve comparisons are the bread and butter of commodity macro analysis.

It is crucial to emphasise that curve analysis is a diagnostic tool, not a trading signal in itself. A commodity in backwardation is not automatically a buy - it may be about to collapse in price as an expected supply shortage fails to materialise, or as demand falls sharply. Always combine curve structure analysis with fundamental supply-demand research, technical analysis, position sizing discipline, and a clear risk management framework. SEBI's investor education guidelines emphasise that commodity derivatives carry significant risk and are not suitable for all investors.

Implications for Hedgers: Locking In Prices Across the Curve

The distinction between contango and backwardation has profound practical implications for businesses that use commodity futures to hedge their physical market exposures. In India, this community includes oil marketing companies, refineries, agricultural processors, jewellers, mining companies, and a host of manufacturing businesses that depend on commodities as inputs.

For a Producer Hedging Future Sales: A farmer who grows soybean in Madhya Pradesh and wants to lock in a selling price for his upcoming harvest has a very different experience depending on the prevailing curve structure. If the NCDEX soybean futures market is in contango when he wants to establish his hedge - meaning the futures price for post-harvest delivery is higher than the current spot price - he can sell futures at a premium to today's spot price, effectively locking in a better price than today's market offers. If the market is in backwardation - perhaps because last year's crop was poor and current spot prices are high - the futures price for post-harvest delivery may be well below the current spot price. The farmer selling futures in this scenario locks in a price below today's elevated spot price, betting that prices will not fall as much as the market expects. Neither scenario is inherently good or bad; what matters is whether the locked-in futures price meets the producer's cost of production and profit target.

For a Consumer Hedging Future Purchases: An edible oil refinery that needs to buy soybean continuously faces the mirror image scenario. If soybean futures are in contango, the refinery that buys futures to hedge its forward needs is effectively paying a premium over today's spot price - the cost of carry is being transferred to them. If futures are in backwardated, the refinery buying futures for future delivery locks in prices below today's spot, a potentially attractive proposition during periods of supply tightness. Savvy procurement teams at large Indian food companies track the futures curve carefully and time their hedging decisions based on where they see the best value.

For an Inventory Holder Managing Carry Cost: A metals trader who holds physical copper inventory and is deciding whether to sell it now or hold it for three months should compare the futures price for three-month delivery against the cost of storage, insurance, and financing over that period. If the copper futures curve shows contango that more than covers these costs, holding inventory and selling forward is profitable. If the market is flat or in backwardation, holding inventory generates a carry loss (the financing and storage costs are not offset by a futures premium), incentivising the trader to sell physical stock immediately.

The concept of "working the basis" is central to how sophisticated Indian commodity traders manage these situations. Rather than simply taking an outright long or short position, they monitor the spread between spot prices in their physical market and the nearest active futures contract on MCX or NCDEX, adjusting the timing and size of their hedges based on whether the basis is at a historically normal level, unusually wide, or unusually narrow. This approach can significantly reduce the total cost of hedging over time.

SEBI's regulatory framework for commodity derivatives in India is designed to ensure that these hedging mechanisms remain accessible and efficient for genuine commercial hedgers, not just speculators. Position limits, physical delivery mechanisms, and warehouse receipt systems are all part of ensuring that futures prices remain tethered to physical market realities - a prerequisite for the basis behaviour that hedgers rely upon.

Common Mistakes and Misconceptions

Even experienced traders make errors when interpreting or responding to contango and backwardation. Understanding the most common pitfalls can help you avoid costly mistakes.

Mistake 1 - Assuming Backwardation Means Prices Will Rise: Backwardation tells you that spot prices are currently higher than futures prices. It does not guarantee that spot prices will continue to rise. The market may expect prices to fall - and that is exactly why futures are priced lower than spot. If you see a commodity in backwardation and automatically initiate a long position, you are confusing a structural feature of the curve with a directional buy signal. The two are different things. A commodity can be in backwardation and decline sharply in price if demand suddenly collapses.

Mistake 2 - Ignoring Roll Costs in Position Sizing: Retail traders who calculate their potential profit or loss based solely on spot price movement without accounting for roll costs often find their actual returns significantly worse than expected. If you plan to hold a crude oil futures position for six months through multiple contract rolls in a contango market, you must incorporate the roll cost into your break-even calculation. Ignoring it is one of the most common and costly errors in commodity futures trading.

Mistake 3 - Treating All Contango as Bearish: Contango simply means the cost of carry is positive and being priced in. For stable commodities like gold, contango is a perfectly normal, permanent state that has nothing to do with bearish sentiment. Interpreting contango in gold as a signal to avoid gold would lead to perpetually avoiding one of India's most actively traded commodity markets.

Mistake 4 - Conflating Local and Global Curve Structures: MCX crude oil follows global WTI pricing, so its contango or backwardation reflects global supply-demand dynamics. However, an agricultural commodity on NCDEX - say, mustard seed - reflects Indian domestic supply and demand, government MSP policies, and seasonal patterns that may be entirely independent of global oilseed markets. Do not apply global commodity curve analysis directly to domestic Indian agricultural contracts without adjusting for Indian-specific factors.

Mistake 5 - Overlooking the Impact of Currency: MCX contracts for internationally priced commodities (crude oil, gold, copper) are denominated in INR but their reference prices are in USD. The cost of carry in these contracts therefore includes not just storage and interest costs but also the cost of hedging rupee-dollar exchange rate risk. When the rupee is depreciating, the INR-denominated contango in gold and crude oil can be steeper than the global USD contango alone would suggest. Conversely, rupee appreciation can reduce or even reverse the contango in INR terms. This nuance is often overlooked by retail traders focused only on commodity fundamentals.

Mistake 6 - Using Short-Term Curve Readings for Long-Term Decisions: The futures curve can shift dramatically over days or weeks. Making a long-term investment or hedging decision based on a curve reading taken at a single point in time, without considering whether that reading reflects a transient disruption or a structural shift, can lead to poor outcomes. Always track the curve over time and understand whether a current reading is historically normal or abnormal before acting on it.

Example

Key benefits

How it works

1. 1
   Observe the Spot Price

   Begin by identifying the current spot price of the commodity - the price for immediate delivery. For MCX contracts, this is typically the last-traded price in the near-month contract or the officially published spot reference price.

2. 2
   Record Futures Prices Across Expiries

   Note the prices of successive futures contracts for the same commodity - for instance, the one-month, two-month, and three-month contracts on MCX crude oil or NCDEX soybean - to build the futures curve.

3. 3
   Calculate the Basis

   Subtract the futures price from the spot price for each expiry. A negative basis (spot below futures) indicates contango; a positive basis (spot above futures) indicates backwardation.

4. 4
   Compare with Theoretical Cost of Carry

   Calculate the theoretical futures price using storage costs, financing rates, and an estimated convenience yield. Compare this theoretical value to the observed futures price to see whether the market is trading rich or cheap relative to fair value.

5. 5
   Assess Inventory and Fundamental Data

   Confirm the curve signal with physical market data - warehouse stocks on MCX, EIA inventory reports for crude, government procurement data for agricultural commodities - to understand whether the contango or backwardation reflects genuine supply-demand conditions.

6. 6
   Calculate Roll Yield for Your Holding Period

   Estimate the total roll cost or gain over your intended holding period by multiplying the per-roll cost (in contango) or gain (in backwardation) by the expected number of rolls, then factor this into your return target.

7. 7
   Monitor Curve Shifts Over Time

   Track the futures curve daily or weekly to detect shifts between contango and backwardation, adjusting your positions or hedges accordingly as the structural conditions of the market change.

Formula

Futures Price = Spot Price × e^((r + s - c) × T)

Where r = risk-free interest rate, s = storage cost rate, c = convenience yield, T = time to expiry in years. In simplified linear form: Futures Price ≈ Spot Price + Spot Price × (r + s - c) × T.

Key takeaways

Frequently asked questions

Related terms