Agribusiness Management · Agri-sector specialisation · also ABM 535, AEC-514 Commodity Future Trading, Commodity Trading, Futures & Options (MANAGE), Agricultural Futures & Options (IIMA)
How commodity exchanges let farmers, processors and traders manage price risk, how contracts, margins and settlement work, and how the market is regulated.
In the exams: agricultural economics PhD entrance and fellowship examinations, forward trading and futures markets (present); agribusiness management PhD entrance and fellowship examinations, marketing (present); commodity derivatives certification examinations
Commodity markets, futures and options is the study of how farmers, processors, traders, exporters and lenders move agricultural price risk to someone willing to carry it. A wheat grower who plants in November does not know the price she will get in April; a flour miller who has quoted a price to a bakery chain does not know what his wheat will cost next quarter. Forward contracts, futures, options and warehouse receipts are the tools that let each of them fix, floor or cap that price, and commodity exchanges are the institutions that make those tools cheap, standard and safe from counterparty default.
The subject sits between agricultural marketing, finance and economics. It uses a small number of ideas again and again: the basis (the gap between a local cash price and a futures price), convergence of the two at delivery, daily marking-to-market through a clearing house, the payoff of an option at expiry, and the cost of carrying a stored crop through time. Once these are clear, the hedging arithmetic that examiners love becomes routine, and the policy debates (does futures trading raise food prices? should speculators be limited?) can be read critically.
The manual is global. Agricultural futures trade at the Chicago Board of Trade and other CME Group exchanges, at ICE in New York and London, at Euronext in Paris, at the Dalian and Zhengzhou commodity exchanges in China, at NCDEX and MCX in India, at the JSE commodity derivatives market (still widely called SAFEX) in South Africa and at Bursa Malaysia for palm oil. Regulators differ by country, and where rules differ the manual says so. Contract specifications, margin rates and position limits are changed often by exchanges and regulators; every specific value here is an illustration, and a practitioner must check the current specification.
Agricultural prices move more than most prices because supply is fixed for a season once a crop is planted, while demand for staple foods is price-inelastic. A small shortfall in output therefore produces a large rise in price, and a bumper crop a large fall. Production is also seasonal: most of a crop arrives in a few weeks after harvest, but it is consumed through the year, so someone must store it and carry the price risk of the stored stock. A derivative is a contract whose value is derived from the price of something else, the underlying. For agricultural derivatives the underlying is a physical commodity (wheat, maize, soybean, cotton, sugar, coffee, cocoa, palm oil, live cattle, milk) or an index of such prices. The four basic derivatives are forwards, futures, options and swaps. A forward is a private agreement today to buy or sell a quantity at a fixed price on a future date. A future is a standardised forward traded on an exchange and guaranteed by a clearing house. An option gives its buyer the right, but not the obligation, to buy (a call) or sell (a put) at a fixed price, the strike price, in return for a premium. Derivatives do not change the physical flow of grain; they change who bears the price risk.
A farmer or firm can manage price risk without an exchange. Options available on the farm include diversifying crops and markets, staggering sales through the season, storing and selling later, and forward contracting with a buyer. Contract farming fixes a price or a pricing formula before planting. Governments intervene with minimum support prices, procurement, buffer stocks and trade policy, which reduce price risk for some crops in some countries but can crowd out private hedging. Exchange-traded futures and options add three things the private tools lack: a public price that anyone can observe, contracts that can be closed out at any time before expiry by an opposite trade, and a clearing house that removes the risk that the other party will default. Their costs are margin money, brokerage, and basis risk, the risk that the local price does not move one-for-one with the futures price. Small farmers usually reach exchanges through aggregators such as farmer producer organisations or cooperatives rather than directly.
Organised forward trading in rice existed at the Dojima rice market in Osaka in the eighteenth century. The Chicago Board of Trade was founded in 1848 to organise grain trade in the American Midwest, and standardised futures contracts with margin rules developed there in the following decades. In India, organised forward trading in cotton was conducted by associations in Bombay from the late nineteenth century. After independence the Forward Contracts (Regulation) Act, 1952 created a regulator, the Forward Markets Commission, set up in 1953. Futures trading in most agricultural commodities was later prohibited, and was reopened in stages after an expert committee chaired by K. N. Kabra reported in 1993 and the National Agricultural Policy of 2000 favoured wider futures trading. Nationwide, demutualised, screen-based exchanges, among them NCDEX and MCX, began trading in 2003. In 2015 the Forward Markets Commission was merged into the Securities and Exchange Board of India.
A forward contract is a bilateral agreement, made today, to deliver a stated quantity and quality of a commodity at a stated place and future date, at a price fixed today. Because the two parties write it themselves, a forward can match exactly the grade, quantity, location and date that the hedger needs. That is its great advantage. Its weaknesses follow from the same fact. There is no clearing house, so each party bears counterparty risk: if the price rises sharply, a farmer may sell to someone else (side-selling), and if it falls, a buyer may refuse delivery. A forward cannot easily be cancelled or transferred, since the terms are unique. No money normally changes hands until delivery, so losses build up unseen. And the price agreed is private, so a forward market does little for public price discovery. A futures contract is a forward that has been standardised and moved onto an exchange. The exchange fixes everything except price: the quality, the quantity in one contract (the lot), the delivery months and places, and the last trading day. Buyers and sellers trade anonymously, and the clearing house becomes the buyer to every seller and the seller to every buyer. Both sides deposit an initial margin, and gains and losses are settled every day through marking-to-market, so losses cannot pile up. Because all contracts for one month are identical, a position can be closed out at any time before expiry by an equal and opposite trade, and in most agricultural markets only a small share of contracts ends in delivery.
An option gives its buyer (the holder) a right without an obligation. A call option is the right to buy the underlying at the strike price; a put option is the right to sell at the strike price. The buyer pays a premium to the seller (the writer), who takes on the obligation to perform if the buyer exercises. A European option can be exercised only at expiry; an American option at any time up to expiry. Most exchange-traded agricultural options in the United States are American options on futures, so exercising a call gives the holder a long futures position at the strike price. Indian exchanges have listed options whose underlying is a futures contract and options whose underlying is the physical good; the contract specification states which. The option buyer's loss is limited to the premium, so the buyer posts no margin after paying it. The writer's loss can be large, so the writer posts margin like a futures trader.
Forwards and futures lock in a price: the hedger is protected from an adverse move but gives up the benefit of a favourable one. Options set a floor (a seller buying a put) or a ceiling (a buyer buying a call) while keeping the benefit of a favourable move, at the cost of the premium paid up front. Forwards are flexible but carry counterparty risk and are hard to exit; futures are standard, liquid and guaranteed but carry basis risk and daily cash-flow risk; options have the same standardisation as futures, cost a premium, and bring no margin calls for the buyer. Forward and futures payoffs are linear; option payoffs bend at the strike. For a farmer unsure of her crop size, one-sided protection matters: a short futures position on grain she fails to harvest becomes a speculative position. The choice among the tools depends on the hedger's price outlook, ability to fund margin calls, certainty of quantity and attitude to risk; a risk-averse farmer who cannot bear margin calls usually prefers a put or a forward with a trusted buyer, while a large commercial firm with a credit line prefers futures, which cost nothing up front.
An option's premium has two parts. Intrinsic value is what the option would be worth if exercised now: for a call, the larger of zero and the underlying price minus the strike; for a put, the larger of zero and the strike minus the underlying price. Time value is the rest of the premium, the value of the chance that the option becomes more valuable before expiry; it falls to zero at expiry, which is why an option is called a wasting asset. A call is in the money when the underlying is above the strike, at the money when they are equal, and out of the money when the underlying is below the strike; the reverse holds for puts. Premiums rise with volatility of the underlying and with time to expiry. For options on futures the standard pricing model is Black's 1976 model, an adaptation of the Black-Scholes model. Put-call parity links European options on the same futures with the same strike and expiry: the call premium minus the put premium equals the discounted value of the futures price minus the strike. Delta, the change in option premium for a one-unit change in the underlying, lies between zero and one for a call and between minus one and zero for a put, and an at-the-money option has a delta of roughly one-half in absolute value.
A commodity exchange provides a trading platform, rules, and (directly or through an affiliated clearing corporation) clearing and settlement. Older exchanges were mutual associations owned by their members, who were also the traders. Most major exchanges are now demutualised: ownership, management and trading rights are separated, which reduces conflicts of interest between the owners and the users of the market. Around the exchange sit several classes of intermediary. Trading members (brokers) place orders for themselves and for clients. Clearing members settle trades with the clearing house and stand behind the trades of the trading members who clear through them; a professional clearing member clears for others without trading. Clients open accounts with a broker after know-your-customer checks and receive a unique client code, so every order can be traced to a person.
CME Group, formed when the Chicago Mercantile Exchange and the Chicago Board of Trade merged in 2007, lists the benchmark contracts for maize (corn), soybeans, soybean meal, soybean oil and wheat at CBOT, and for live cattle, feeder cattle and lean hogs at CME. ICE Futures U.S., the former New York Board of Trade, lists raw sugar, arabica coffee, cocoa, cotton and frozen concentrated orange juice; ICE Futures Europe in London lists robusta coffee, London cocoa and white sugar. Euronext in Paris (formerly MATIF) lists milling wheat, rapeseed and maize contracts that serve as European benchmarks. In China, the Dalian Commodity Exchange lists soybeans, soybean meal, soybean oil, maize and palm oil, and the Zhengzhou Commodity Exchange lists wheat, cotton, sugar, rapeseed meal and apples among others. In India, NCDEX specialises in agricultural commodities and MCX in metals and energy with some agricultural contracts. The JSE commodity derivatives market in South Africa lists white and yellow maize, wheat, sunflower seed and soybeans. Bursa Malaysia's crude palm oil contract is the global palm oil benchmark.
The contract specification is the legal definition of the product. It states the underlying commodity and its basis grade, with the premiums or discounts applied when other permitted grades are delivered; the trading unit (lot size); the quotation basis (price per bushel, per quintal, per tonne, per pound); the tick size, which is the minimum price movement; the contract months and the trading hours; the last trading day and the expiry date; the delivery centres and any location premium or discount; the delivery logic (compulsory delivery, cash settlement, or delivery by intention); daily price limits; position limits; and the margin regime. The tick value is the tick size multiplied by the lot size. For example, a CBOT maize contract has been specified at 5,000 bushels quoted in cents per bushel with a minimum tick of one quarter of a cent, so one tick is worth 5,000 × 0.0025 = 12.50 US dollars. These values are examples; exchanges revise specifications.
Many futures contracts are launched and few survive. Textbooks list the conditions for a successful contract. The underlying must have a large cash market with many buyers and sellers, so that no one can control the price. The price must be volatile enough that hedgers need protection and speculators see opportunity. The commodity must be homogeneous, or gradable into standard qualities that both sides trust, and storable or at least deliverable in a standard way. Prices must be free to move; where the government fixes prices, controls stocks or restricts movement and trade, there is little risk to hedge and the contract fails. The contract must also be designed to fit the cash trade: a lot size too large for local traders, or delivery centres far from where the crop is grown, will keep hedgers away.
When a trade is matched, the clearing house (or clearing corporation) steps between the two parties by novation: the original contract is replaced by two contracts, one between the buyer and the clearing house and one between the clearing house and the seller. The clearing house is then the central counterparty to every trade. Its own net position is always zero, because every long position it faces is matched by a short one, but it carries the risk that a member defaults. It controls that risk with membership standards, margins collected in advance, daily settlement of gains and losses, position limits, and a default fund. If a member defaults, the clearing house uses, in order, the defaulter's margins and contributions, then its own capital allocated for the purpose, and then the default fund contributed by all members. In India the fund is called the Core Settlement Guarantee Fund.
Initial margin is the deposit each party must post when opening a futures position. It is not a down payment on the goods; it is a performance bond, set so that it covers the likely loss over one or two days of adverse price movement with high confidence. Exchanges calculate it with portfolio risk models such as SPAN (Standard Portfolio Analysis of Risk), developed at CME, or value-at-risk methods; it is typically a small percentage of the contract's value, which is why futures are leveraged. In the United States and many other markets there is also a maintenance margin, a lower level. When losses bring the account balance below the maintenance margin, the trader receives a margin call and must deposit variation margin to bring the balance back up to the initial margin, not merely to the maintenance level. If the call is not met, the broker closes the position. Several exchanges, including Indian commodity exchanges, collect the initial margin and settle mark-to-market losses in cash each day rather than working with a separate maintenance band; check the exchange's rules.
At the end of each trading day the clearing house sets a daily settlement price, and every open position is revalued at it. Gains are credited and losses debited in cash. The next day's calculation starts from the new settlement price. Consider a trader who buys one maize contract of 5,000 bushels at 4.50 dollars per bushel with an initial margin of 2,000 dollars and a maintenance margin of 1,500 dollars (illustrative values). If the settlement price falls to 4.42, the loss is 0.08 × 5,000 = 400 dollars and the balance becomes 1,600: still above maintenance, so no call. If it then falls to 4.36, the day's loss is 300 dollars, the balance is 1,300, below maintenance, and the trader must deposit 700 dollars to restore the balance to 2,000. The price at which a first margin call occurs is the entry price minus (initial margin − maintenance margin) ÷ lot size, here 4.50 − 500/5,000 = 4.40. In an Indian contract quoted per quintal with a ten-tonne lot, a rise of 80 rupees per quintal in the settlement price costs a short position 80 × 100 quintals = 8,000 rupees that day. Over the life of a contract, the sum of the daily settlements equals the final price minus the entry price, times the quantity, which is exactly the forward-style gain or loss; marking-to-market only changes its timing.
Indian exchanges add further margins to the initial margin. An extreme loss margin covers losses beyond what the value-at-risk model captures. Additional and special margins are imposed by the exchange or regulator when volatility or concentration rises. Delivery-period margins are raised as a contract enters its delivery period, because positions that remain open will turn into physical obligations. Margins are usually collected upfront, before the trade. For a hedger, marking-to-market creates liquidity risk. A farmer who is short futures and holding grain loses cash on the futures when prices rise, while the gain on her grain is not realised until she sells it. The hedge is sound in value, but she must find cash to meet margin calls in the meantime. The classic cautionary case is Metallgesellschaft in 1993, a firm whose large short-dated futures hedge of long-term supply contracts produced cash-flow losses so large that the position was closed at a loss; it is often cited to show that a hedge must be funded as well as correctly sized.
A hedge is a futures (or option) position taken as a temporary substitute for a later cash-market transaction, so that a loss in one market is offset by a gain in the other. Who needs which hedge depends on the exposure. A party who owns the commodity, or will own it, loses when prices fall; that party is naturally long and hedges by selling futures, a short hedge (also called a selling hedge). Farmers with a growing crop, stockists holding grain and exporters who have bought but not yet sold are short hedgers. A party who must buy the commodity later loses when prices rise; that party is naturally short and hedges by buying futures, a long hedge (buying hedge). Millers, feed compounders, oil refiners and exporters who have sold forward without owning the goods are long hedgers. A hedge taken before a cash transaction that has not yet happened, such as a miller covering next quarter's requirement, is an anticipatory hedge. The hedge is lifted by an offsetting futures trade at the time of the cash transaction.
Suppose a farmer expects to sell wheat in three months. Today the futures price for the relevant month is 2,500 rupees per quintal, and she sells futures. At harvest the local cash price is 2,200 and the futures price 2,350. She sells her wheat locally for 2,200 and buys back her futures at 2,350, gaining 150. Her effective price is 2,200 + 150 = 2,350. Notice that this equals the original futures price plus the basis at the time the hedge is lifted: 2,500 + (2,200 − 2,350) = 2,500 − 150 = 2,350. This identity is the heart of hedging. For a short hedger, effective price = initial futures price + closing basis. For a long hedger, effective purchase cost = initial futures price + closing basis as well, because she pays the cash price and gains (or loses) the futures change: cost = S₁ − (F₁ − F₀) = F₀ + (S₁ − F₁). If the basis at closing were known in advance, the hedge would be perfect. Because it is not, the hedger swaps price risk for basis risk, which is usually much smaller. That is why the basis gets a chapter of its own.
Often there is no futures contract on the exact commodity a firm holds: a feed maker holding sorghum may hedge with maize futures, or a processor in one country may hedge with a foreign benchmark. This is a cross hedge, and it raises the question of how many futures to use. The hedge ratio is the size of the futures position divided by the size of the cash exposure. A naive hedge uses a ratio of one. The minimum-variance hedge ratio is h* = ρ × (σS ÷ σF), where σS is the standard deviation of changes in the cash price, σF the standard deviation of changes in the futures price, and ρ the correlation between the two. It equals the slope coefficient from regressing cash-price changes on futures-price changes. The optimal number of contracts is h* multiplied by the size of the exposure divided by the lot size. The proportion of cash-price variance removed by the hedge, hedging effectiveness, is ρ². With ρ = 0.8, σS = 5 per cent and σF = 6 per cent, h* = 0.8 × 5/6 ≈ 0.667; a 600-tonne exposure with 10-tonne lots needs about 40 contracts, and the hedge removes 64 per cent of the variance.
A hedger must choose the contract month, usually the first month expiring after the planned cash transaction, so that the futures position can be closed before the contract enters its delivery period. If the exposure runs beyond the available liquid months, positions can be rolled forward, closing the near contract and opening a later one, which adds rollover risk from the spread between the two months. Farmers also decide how much of an expected crop to hedge. Hedging the full expected output before harvest is risky, because if the crop fails the short futures position is no longer covering any grain; many advisers hedge a portion before planting and more as the crop is assured. Firms decide whether to hedge routinely or selectively, hedging only when they expect prices to move against them. Selective hedging is partly speculation, and a firm's board should know which it is doing.
The basis is the local cash price minus the futures price: basis = S − F. Some traders quote it the other way round, so always check the convention; this manual and most textbooks use cash minus futures. When the cash price is below the futures price the basis is negative and traders say the cash is 'under' futures; when above, 'over'. The basis at a location reflects the cost of moving the commodity from that location to the futures delivery point (transport, handling), the difference in quality between the local grade and the contract grade, the cost of storing the commodity from now until the futures month (when a distant contract is used), and local supply and demand. A district with a surplus harvest and poor transport has a weak (strongly negative) basis at harvest; a deficit region near processors has a stronger basis. Because these components are fairly stable from year to year, the basis at a location is much more predictable than the price level.
As a futures contract approaches its delivery period, its price converges towards the cash price at the delivery location, adjusted for grade. The reason is arbitrage. If the futures were well above the delivery-point cash price near expiry, traders would buy the physical grain, sell futures and deliver, pushing futures down and cash up; if the futures were well below, buyers would buy futures and take delivery rather than buy in the cash market. Convergence is what makes futures useful for hedging: without it, the futures price would not track the value of grain that hedgers own. When the delivery mechanism is weak (too few delivery points, poor warehouse capacity, expensive or slow delivery), convergence can fail, and the contract loses its hedging value. The CBOT wheat contract experienced persistent non-convergence around 2006 to 2010, which led the exchange to change the storage rate in the contract, an episode widely used in teaching to show that the contract design and delivery system matter.
The basis strengthens when it becomes more positive (or less negative), for example from −200 to −120; it weakens when it becomes more negative, for example from −120 to −200. Because the short hedger's effective price is the initial futures price plus the closing basis, a strengthening basis raises the short hedger's effective price, and a weakening basis lowers it. For the long hedger the effect is the opposite: her effective cost is the initial futures price plus the closing basis, so a stronger basis raises her cost and a weaker basis lowers it. The rule to remember is: short hedgers gain when the basis strengthens; long hedgers gain when the basis weakens. The size of the gain or loss relative to the original basis equals the change in basis. A stockist who bought grain at a basis of −200 and hedged it with short futures earns 80 per unit from the hedge-and-storage operation if the basis strengthens to −120, whatever happens to the price level. This is why hedged storage is described as 'trading the basis'.
For a storable commodity in normal supply, deferred futures months trade above nearer months by roughly the cost of carrying the commodity: storage, insurance and interest on the money tied up. This is a carrying-charge market, or contango. The theoretical futures price under full carry is F = S × (1 + r × t) + storage cost to delivery, using simple interest, or F = S × e^((r + u − y)T) in continuous form, where u is storage cost as a proportion and y the convenience yield. The convenience yield is the benefit of holding physical stock, such as keeping a mill running during a shortage. When stocks are scarce, the convenience yield is high and nearby prices rise above deferred ones; the market is then inverted, or in backwardation. The spread between two months therefore signals whether the market wants the commodity stored (contango pays storage) or delivered now (inversion penalises storage). Holding grain unhedged in an inverted market is a bet on further price rises, not a storage return. The theory of storage, due to Kaldor, Working and Brennan, explains the relation between inventories and intertemporal spreads: the lower the stocks, the lower (more inverted) the spread.
At expiry, the gross payoff of a long call is max(F − K, 0), where F is the underlying price and K the strike; the net profit subtracts the premium paid. The call buyer breaks even when F = K + premium; below the strike her loss is the whole premium; above the break-even her profit rises one-for-one with the price. The call writer's profit is the exact opposite: the premium received minus max(F − K, 0). The gross payoff of a long put is max(K − F, 0); net profit subtracts the premium; the break-even is K − premium; the maximum profit, reached if the price went to zero, is K − premium. The put writer's profit is the premium minus max(K − F, 0). For example, a put with strike 2,300 bought for a premium of 60 earns a net 140 if the futures price at expiry is 2,100 (payoff 200 minus premium 60), loses the full 60 if the price is at or above 2,300, and breaks even at 2,240. Drawing these four payoff diagrams, and adding them for combinations, answers most examination questions on options.
A farmer who buys a put on futures sets a minimum selling price while keeping the benefit of higher prices. If prices fall, the put gains and offsets the lower cash price; if prices rise, the put expires worthless and she sells the crop at the higher price, having lost only the premium. The expected floor (minimum net price) = strike price + expected basis − premium. With a strike of 2,300, an expected basis of −80 and a premium of 60, the floor is 2,160. A processor who buys a call sets a maximum purchase price: expected ceiling = strike price + expected basis + premium. Compared with a futures hedge, the option hedge gives a result worse by the premium when prices stay flat or move against the unhedged position, but a better result when prices move in the hedger's favour by more than the premium. The option hedge also protects against quantity risk: if the crop fails, the farmer's maximum loss on the put is the premium, while an unmatched short futures position could lose without limit as prices rise in a short-crop year.
A fence, also called a collar, reduces the cost of a floor. The farmer buys a put at a lower strike and sells a call at a higher strike. The premium received for the call pays for part or all of the put. The result is a price range: a floor at the put strike plus basis, net of premiums, and a ceiling at the call strike plus basis, net of premiums. A zero-cost collar uses strikes whose premiums are equal. A bull call spread (buy a call at a lower strike, sell a call at a higher strike) profits from a moderate rise at a lower premium than a single call, with profit capped at the difference in strikes minus the net premium. A long straddle (buy a call and a put at the same strike) profits from a large move in either direction; its two break-evens are the strike plus and minus the total premium. A long strangle uses a lower-strike put and a higher-strike call, is cheaper, and needs a larger move. A covered call (own the crop or long futures and sell a call) earns premium income in exchange for giving up gains above the strike. Sellers of options, including anyone writing a call in a fence, must post margin.
Price discovery is the process by which a market arrives at a price that reflects the information held by all its participants. Futures markets are often where new information about supply and demand shows up first, because trading costs are low, positions can be taken short as easily as long, and the leverage of margin trading attracts informed traders. A crop estimate, a weather forecast or an export policy change is reflected within minutes in the futures price, and cash traders then quote their own prices as a basis to futures. In this way the futures price becomes the reference price for a whole commodity sector, including for commodities that are not themselves traded, which are priced through cross-hedging relations. A futures price for a distant month is also a forward-looking signal: it tells a farmer deciding what to plant, or a stockist deciding whether to store, what the market expects prices to be when the crop is ready.
Two broad theories explain the level of futures prices. The cost-of-carry, or theory of storage, view links the futures price to today's spot price plus the costs of storage and finance minus the convenience yield. It applies well to storable commodities with ample stocks. The expectations view says the futures price is the market's forecast of the spot price at expiry. If futures prices are unbiased forecasts, then in a regression of the spot price at maturity on the earlier futures price, the intercept should be zero and the slope one. Keynes and Hicks argued that hedgers are net short, so they must pay speculators a risk premium to carry their risk; futures prices then lie below the expected future spot price and drift upwards as expiry approaches, a pattern called normal backwardation. If hedgers are net long, the reverse pattern, called contango in this sense, would be expected. Note that 'backwardation' and 'contango' are also used, more commonly, simply to describe whether nearby prices are above or below deferred prices.
Fama's efficient market hypothesis classifies efficiency by the information reflected in prices: weak form (past prices), semi-strong form (all public information) and strong form (all information, including private). A weakly efficient futures market is one in which past price changes cannot be used to predict future changes profitably after costs. Tests include serial correlation and runs tests on price changes, and the variance-ratio test. Tests of the long-run relation between spot and futures prices use cointegration (the Engle-Granger and Johansen procedures): if the spot and futures series are non-stationary but cointegrated with a coefficient of one, the markets are linked in the long run. Lead-lag relations are studied with Granger causality tests, vector error-correction models, the Garbade-Silber model, and the information share measures of Hasbrouck and of Gonzalo and Granger. A common finding for liquid contracts is that futures lead spot in price discovery; for thin contracts the spot market often leads.
Whenever food prices rise sharply, futures trading is blamed. The evidence is mixed. In theory, a futures market improves storage decisions and can reduce seasonal price swings, and studies of several contracts find that the introduction of futures did not raise spot volatility, or lowered it. On the other hand, in thin markets, concentrated positions and manipulation can move prices, and delivery problems can disconnect futures from cash. In India, an expert committee chaired by Abhijit Sen, reporting in 2008, examined whether futures trading had driven up agricultural prices and did not find conclusive evidence that it had; futures trading in some agricultural commodities has nevertheless been suspended at different times as a precaution during inflation. SEBI's current suspension of futures in certain agricultural commodities is described in chapter 12. A student should be able to state both sides and the kind of evidence each uses.
A speculator takes a futures or options position without an offsetting cash exposure, aiming to profit from price changes. Speculation is different from gambling in that the risk already exists in the economy and the speculator agrees to carry it; hedgers could not easily hedge if they had to wait for another hedger with the exactly opposite need at the same moment. Speculators provide liquidity, narrowing bid-ask spreads and letting hedgers enter and exit at low cost, and their search for profit brings information into prices. Speculators are classified by holding period and method. Scalpers trade many times a day for very small price changes; day traders close all positions by the end of the session; position traders hold for weeks or months on a view about fundamentals or trends. Fundamental analysts study supply, demand, stocks and policy; technical analysts study price and volume patterns. Arbitrageurs are distinct: they lock in riskless or near-riskless profits from price differences between markets (cash and futures, two exchanges, two months) and so keep prices aligned.
A spread position is a long position in one contract and a short position in a related contract, taken to profit from a change in the price difference rather than from the price level. An intra-commodity or calendar spread uses two months of the same commodity, for example buying the near month and selling a deferred month when a trader expects the market to tighten and the spread to invert. An inter-commodity spread uses related commodities, such as maize against wheat when both are feed grains. A processing spread uses a raw material and its products, the classic example being the soybean crush spread (soybeans against soybean meal and oil), which approximates a processor's gross margin; a processor can hedge its margin by selling the products and buying the raw material. A spread's profit is the change in the difference between the legs multiplied by the lot size. Holbrook Working proposed a speculative index to judge whether the amount of speculation is adequate for the hedging present. With HS and HL the short and long hedging open interest and SS and SL the short and long speculative open interest: if HS ≥ HL, T = 1 + SS ÷ (HS + HL); if HL > HS, T = 1 + SL ÷ (HS + HL). The logic is that when hedgers are net short, speculators must be net long to balance them, and only speculative short positions are 'extra' to what hedging requires. T equals one when there is exactly enough speculation to balance hedging; values above one measure the excess.
Milton Friedman argued that profitable speculation must be stabilising, because a speculator who profits buys when prices are low and sells when they are high, which narrows fluctuations. Critics point out that speculators who follow trends, or who react to the same signals together, can push prices away from fundamentals for a time, and that the argument does not hold for manipulation. Manipulation is the deliberate creation of an artificial price. A corner is gaining control of most of the deliverable supply while holding a large long futures position, so that shorts must buy back from the manipulator at a high price; a squeeze is a milder form arising when deliverable supply is short and a large long takes advantage of it. The Hunt brothers' attempt to corner silver in 1979-80 is the standard case. Other abuses include wash trades (trades with oneself to create false volume), spoofing (orders placed with the intent to cancel them before execution), and front-running client orders. Regulators counter these with position limits, surveillance, reporting of large positions, and penalties under law.
A futures contract that is still open at expiry is settled in one of two ways. In cash settlement, the final mark-to-market is made against a final settlement price, often a spot price index built from polling or published cash prices, and no goods move; livestock and some dairy and index contracts are cash settled. In physical delivery, the seller delivers the commodity of contract grade at an approved delivery centre and the buyer pays the final settlement price adjusted for any grade and location premium or discount. Most agricultural contracts on exchanges with good storage infrastructure are physically settled, because the threat of delivery is what makes futures converge to cash. The rules specify the delivery period, the notice the seller must give, how buyers are allocated (for instance the oldest long position first), who pays for assaying, and penalties for failure to deliver. Indian contracts have used three delivery logics: compulsory delivery, where all open positions at expiry must deliver or take delivery; the seller's option; and 'both options' or intention matching, where delivery takes place only when a buyer's and seller's intentions are matched and the rest is cash settled with or without a penalty. The logic for each contract is in its specification.
Physical delivery depends on trusted grading and trusted storage. Exchanges accredit warehouses at delivery centres, and approved assayers test deliveries against the contract's quality parameters, such as moisture, foreign matter, damaged grains and oil content. Goods of a quality within a tolerance band are accepted at a premium or discount; goods outside the band are rejected. The commodity must usually be deposited and tested before the delivery period, and each deposit carries a shelf life after which it cannot be delivered. On delivery the seller transfers a warehouse receipt, not the physical goods, and the buyer can take the goods out of the warehouse or leave them and redeliver. In the United States, federal licensing of warehouses dates from the United States Warehouse Act of 1916, and exchange delivery is by shipping certificates or warehouse receipts issued by regular firms approved by the exchange.
A warehouse receipt is a document issued by a warehouse operator acknowledging that goods of stated quantity and quality are held for the depositor. A negotiable warehouse receipt can be transferred by endorsement, so ownership of the goods can change without moving them, much as a cheque transfers money. For the system to work, depositors and lenders must trust that the goods exist and are of the stated quality; this requires licensing, inspection, insurance, performance guarantees from warehouse operators and a legal framework giving the receipt holder clear title. India's Warehousing (Development and Regulation) Act, 2007 created the Warehousing Development and Regulatory Authority (WDRA), which registers warehouses and regulates negotiable warehouse receipts, including electronic negotiable warehouse receipts held in repositories. Several African countries, including Ethiopia, whose commodity exchange began trading in 2008, have tied warehouse receipt systems to commodity exchanges.
Because a warehouse receipt gives the holder title to identifiable, graded, insured goods, banks lend against it. This is warehouse receipt financing, or pledge financing. A farmer or FPO deposits grain after harvest, receives a receipt, pledges it to a bank and receives a loan of a fixed percentage of the value of the goods (the loan-to-value ratio, with the remainder as the margin). The loan lets the farmer meet cash needs without selling at the harvest low, and repay later when the grain is sold. For example, 500 tonnes valued at 25,000 rupees per tonne are worth 1.25 crore rupees; at a 70 per cent loan-to-value ratio the bank lends 87.5 lakh rupees. The bank's risks are price risk (if prices fall, the collateral may be worth less than the loan, so banks call for more margin or sell), quality deterioration, fraud such as receipts issued without goods, and legal risk over title. Combining pledge financing with a futures or options hedge on the stored grain reduces the price risk and can justify a higher loan-to-value ratio.
Leverage, anonymity and the possibility of delivery squeezes make futures markets attractive to manipulators. Surveillance is the continuous monitoring of trading, positions, prices and the underlying physical market to detect and prevent abuse before it distorts prices. Exchanges carry out first-line surveillance of their own markets; the regulator oversees the exchanges and carries out its own investigations. Surveillance staff look at price and volume alerts, concentration of open interest in a few hands, positions of related entities that may be acting together, the relation between open interest and deliverable stocks in accredited warehouses near expiry, unusual order-to-trade ratios that may indicate spoofing, trades between the same beneficial owners (wash or circular trades), and trading ahead of large client orders. Risk controls operate before and after the trade. Before the trade, the trading system checks the client code and margin, rejects orders outside the daily price range, and applies quantity limits per order. Daily price limits (also called circuit filters or the daily price range) stop trading beyond a set percentage from the previous settlement price; some exchanges widen the band in stages after a cooling-off period. Position limits cap the number of contracts a client or member may hold, often with tighter limits in the near month and during the delivery period, when squeezes are most likely. Some regimes use limits that are the higher of a fixed quantity and a percentage of market-wide open interest; others relate limits to the deliverable supply. In the United States, the CFTC sets federal speculative position limits for core physical-delivery agricultural contracts and exchanges set further limits and accountability levels; in the EU and UK, MiFID II requires position limits on commodity derivatives. Large-trader reporting gives the regulator the identity of big positions every day.
When prices move sharply or positions build up dangerously, exchanges and regulators have graduated tools. They can raise margins, impose special or additional margins on the long side, the short side or both, or require early pay-in of commodities or funds. They can reduce position limits, restrict new positions so that only closing trades are allowed, bring forward the delivery period, or, as a last resort, suspend trading in a contract. The clearing corporation runs daily stress tests on members' positions under extreme but plausible price moves and sizes the default fund accordingly. After a default, the clearing house may transfer the positions of the defaulting member's clients to another member, close them out, or auction them. Each of these actions has a cost: higher margins drive out small hedgers; suspension destroys the hedging tool when it is most needed and may push trade into unregulated channels. SEBI's suspension of certain agricultural futures (chapter 12) is an example. Surveillance also protects clients from their own brokers: rules require segregation of client money, client-wise reporting of collateral to the clearing corporation, contract notes, and risk disclosure documents explaining that leveraged losses can exceed the margin deposited.
From 1953 to 2015, commodity forward and futures trading in India was regulated by the Forward Markets Commission under the Forward Contracts (Regulation) Act, 1952, with the commission under the ministry responsible for consumer affairs and later under the finance ministry. The FMC had limited powers compared with a securities regulator: it could not easily act directly against brokers, who were not registered with it, and its enforcement powers were weaker. A major payment default on a spot exchange in 2013 exposed these gaps. The Finance Act, 2015 repealed the Forward Contracts (Regulation) Act, and the FMC merged into SEBI with effect from 28 September 2015. Commodity derivatives became 'securities' under the Securities Contracts (Regulation) Act, 1956, bringing commodity exchanges, brokers and clearing corporations under the same law and enforcement powers as the securities market. Commodity brokers had to register with SEBI, and commodity exchanges were required to set up or use clearing corporations.
After the merger SEBI reshaped the commodity market in stages, generally by aligning it with the securities market. Measures included risk management through clearing corporations with settlement guarantee funds; options on commodity futures, first permitted in 2017, and later options on goods; permission for the same broker to deal in both equity and commodity derivatives, and for stock exchanges to offer commodity derivatives; and gradual admission of institutions such as mutual funds, portfolio managers, alternative investment funds and eligible foreign entities with actual exposure to Indian commodities. SEBI also issued norms on the design of agricultural contracts, including the criteria for selecting commodities for futures trading, product advisory committees at exchanges, and warehousing and delivery rules. SEBI has suspended trading in futures on certain agricultural commodities and has extended that suspension; check SEBI's latest order for which contracts are affected and whether the suspension still applies.
In the United States, futures markets are regulated under the Commodity Exchange Act of 1936 by the Commodity Futures Trading Commission, an independent agency created in 1974. The CFTC designates exchanges (designated contract markets), registers clearing organisations, sets federal speculative position limits, publishes the weekly Commitments of Traders report and brings enforcement actions against fraud and manipulation. The National Futures Association, a self-regulatory organisation, registers and supervises brokers, advisers and their associated persons; individuals who solicit futures business generally must pass the Series 3 examination. After the 2008 crisis, the Dodd-Frank Act of 2010 extended CFTC oversight to most over-the-counter swaps and required central clearing of standardised swaps. In the European Union, commodity derivatives fall under MiFID II and the Market Abuse Regulation, with the European Securities and Markets Authority coordinating national regulators; in France, Euronext's commodity markets are supervised by the national regulator. In the United Kingdom, the Financial Conduct Authority regulates ICE Futures Europe and other venues under rules derived from the same framework. In China, futures exchanges including Dalian and Zhengzhou are supervised by the China Securities Regulatory Commission, and the Futures and Derivatives Law of the People's Republic of China took effect in 2022. Chinese exchanges set position limits and margins actively and have gradually opened selected contracts to foreign participants. In South Africa, the JSE's commodity derivatives market grew after agricultural marketing boards were dismantled in the 1990s, and the Financial Sector Conduct Authority regulates market conduct. In Malaysia, the Securities Commission regulates Bursa Malaysia Derivatives.
A student should be able to work any hedge problem on paper in two minutes: identify whether the party is naturally long or short, choose the futures side, compute the gains in each market and the effective price, and check it against the rule 'initial futures plus closing basis'. The same fluency is needed for margin-call arithmetic and option payoffs at expiry. Beyond calculations, a student preparing for JRF or NISM should be able to explain in a paragraph why futures converge to cash, why a forward carries counterparty risk and a future does not, why a successful contract needs a free and large cash market, and how India moved from the FMC to SEBI. Practise by drawing payoff diagrams for every option strategy in chapter 7 until they are automatic.
A commodity analyst, procurement manager or FPO manager with five years' experience uses this subject weekly. Tasks include maintaining a basis record by location and week for each commodity handled, deciding the share of expected procurement or sales to hedge and in which contract month, sizing hedges with a regression-based hedge ratio when cross-hedging, funding and monitoring margin accounts so that a correct hedge is never closed for lack of cash, comparing the cost of a put floor with a futures hedge and a forward contract with a buyer, and arranging warehouse receipt finance for stored produce. The practitioner must also track regulatory status, since a suspended contract cannot be used, and keep a written hedging policy that distinguishes hedging from speculation.
A senior manager with twenty-five years in trading, processing or agri-lending sets the risk policy rather than the individual trades: position and loss limits by desk, the approved instruments and exchanges, counterparty limits for forward contracts, margin funding lines, and board reporting on hedge effectiveness. At this level the questions are strategic: whether to hedge on a foreign benchmark when local contracts are thin or suspended, how to manage basis risk across a network of warehouses, how much storage to hold given the carry in the futures curve, how to structure pledge financing with collateral managers, and how to respond to regulatory change. Senior staff also deal with the regulator and exchange, for example by commenting on contract design or position-limit consultations.
A researcher with long experience asks whether commodity derivatives do what policy claims. Research questions include the effect of futures trading on spot price volatility and on farm-gate prices; the effect of suspensions and margin changes on hedging and liquidity; price discovery and information shares between domestic and international markets; tests of unbiasedness and risk premia; the determinants of basis and the performance of delivery systems; optimal hedge ratios under changing volatility (for example with GARCH models); the welfare of smallholders who hedge through aggregators; and the role of warehouse receipt systems in rural credit. Methods include cointegration and error-correction models, event studies, panel models and field experiments. Good work states the data source, the contract specification in force, and the regulatory regime of the period studied.
Contract specifications, margin percentages, position limits and lists of traded contracts are given only as illustrations because exchanges change them often; no current Indian contract specification is reproduced. The status and list of Indian agricultural futures under SEBI's suspension is not stated beyond 'suspended and extended; check SEBI's latest order'. Tax and hedge-accounting rules are not covered. Advanced option pricing (binomial trees, the Greeks beyond delta, volatility smiles), weather derivatives, OTC commodity swaps and the detailed US swap-dealer regime are only mentioned. Country coverage for Africa, Latin America and Southeast Asia is brief, and the manual does not assess the performance of individual exchanges.
Original practice questions written to the syllabus and pattern of the exams named in each question's examTags. They are not past papers and do not reproduce any board's questions. Contract sizes, margins and prices in calculations are illustrative, not current exchange values.
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