More reasons why farmers have so little interest in futures markets

The use by farmers of futures contracts and other hedging instruments has been observed to be low in many situations, and this has sometimes seemed to be considered surprising or even mysterious. We propose that it is, in fact, readily understandable and consistent with rational decision making. Standard models of the decision about optimal hedging show that it is negatively related to basis risk, to quantity risk, and to transaction costs. Farmers who have less uncertainty about prices and those with a diversified portfolio of investments have lower optimal levels of hedging. If a farmer has optimistic price expectations relative to the futures market, the incentive to hedge can be greatly reduced. And finally, farmers who have low levels of risk aversion have little to gain from hedging in terms of risk reduction, in that the certainty‐equivalent payoff at their optimal hedge may be little different than the certainty equivalent under zero hedging. These reasons are additional to the argument of Simmons (2002) who showed that, if capital markets are efficient, farmers can manage their risk exposure through adjusting their leverage, obviating the need for hedging instruments.     

Market-Based Price-Risk Management: Welfare Gains for Coffee Producers from Efficient Allocation of Resources

The volatility of coffee prices exposes coffee producers to price risk. Price risk is one of many risks faced by commodity producers in developing countries. Coffee is widely traded in the international commodity derivative markets. This offers scope for coffee producers to manage their price risk by hedging on these markets. The hedging mechanism recommended is based on the use of coffee futures and options. The mechanism involves costs, so the benefits of hedging need to be evaluated in order to assess its usefulness for producers. It emerges that the main benefit lies in producers being able to allocate resources more efficiently in the production of coffee. An analysis of theoretical and field evidence shows that this benefit can potentially be quite high, especially for risk-averse producers. This underlines the need to provide producers with access to suitable price-risk hedging mechanisms.     

Time‐varying Hedge Ratios: A Principal‐agent Approach

We use the classic agency model to derive a time‐varying optimal hedge ratio for low‐frequency time‐series data: the type of data used by crop farmers when deciding about production and about their hedging strategy. Rooted in the classic agency framework, the proposed hedge ratio reflects the context of both the crop farmer's decision and the crop farmer's contractual relationships in the marketing channel. An empirical illustration of the Dutch ware potato sector and its futures market in Amsterdam over the period 1971–2003 reveals that the time‐varying optimal hedge ratio decreased from 0.34 in 1971 to 0.24 in 2003. The hedging effectiveness, according to this ratio, is 39%. These estimates conform better with farmers’ interest in using futures contracts for hedging purposes than the much higher estimates obtained when price risk minimisation is the only objective considered.     

Hedging Multiple Price Uncertainty in International Grain Trade

Commodity and freight futures contracts are analyzed for their effectiveness in reducing uncertainty for international traders. A theoretical model is developed for a trader exposed to several types of risk. OLS hedge ratio estimation is compared to the SUR and the multivariate GARCH methodologies. Explicit modeling of the time-variation in hedge ratios via the multivariate GARCH methodology, using all derivatives, and taking into account dependencies between prices, results in reductions in risk, even after accounting for transaction costs. Results confirm that while the commodity futures contracts are important for hedging risk, freight futures are a useful mechanism for reducing risk.     

Optimal Hedging Ratios for Wheat and Barley at the LIFFE: A GARCH Approach

Over 100,000 futures contracts for cereals are traded annually on the London International Financial Futures Exchange. The proportion of the spot position held as futures contracts ‐ the hedging ratio ‐ is critical to traders and traditional estimates, using OLS, are constant over time. In this paper, we estimate time‐varying hedging ratios for wheat and barley contracts using a multivariate generalised autoregressive conditional heteroscedasticity (GARCH) model. Results indicate that GARCH hedging ratios do change through time. Moreover, risk using the GARCH hedge is reduced significantly by around 4 per cent for wheat and 2 per cent for barley relative to the no hedge position, and significantly by around 0.2 per cent relative to the constant hedge. The optimal, expected utility‐maximising, and the risk‐minimising hedging ratios are equivalent.     

A Marketing Approach to Commodity Futures Exchanges: A Case Study of the Dutch Hog Industry

This paper proposes a marketing strategic approach to commodity futures exchanges to optimise the (hedging) services offered. First, the environment of commodity futures exchanges is examined. Second, the threats and opportunities of commodity futures exchanges are analysed. Our analysis demonstrates that market orientation is an important element in the market strategies of commodity futures exchanges. Our market strategic framework is applied to the Dutch hog futures market. It is concluded that market penetration is an appropriate strategy. Consequently, to identify the variables that distinguish between farmers who initiate futures positions and farmers who do not, we conducted a discriminant analysis on data gathered from 418 Dutch hog farmers. The discriminant analysis shows that latent variables, such as farmers' perceived performance, farmers' reference price and farmers' market orientation, are important discriminating variables. Furthermore, farmers' cash market behaviour (in terms of the frequency of selling in the spot market) is an important discriminating variable as well. The usefulness of these results as input for a penetration policy is demonstrated.     

Futures markets and price stabilisation: An analysis of soybeans markets in North America

The objective of this paper was to determine whether the futures markets have a stabilising or destabilising impact on soybean's spot prices in North America. Directed acyclic graphs (DAGs) are used to test for causality between futures prices, spot prices and ending stocks, followed by time series econometric analysis. The DAGs point to the two-way causal link between futures and spot prices and a lack of a causal link between inventory/stocks and spot price volatility. Time series results, including cointegration, vector error correction, impulse response and variance decomposition analysis, indicate a large impact from futures markets on the level and volatility of soybean spot prices in both the short and long run. These results have potentially important implications, as the impact of commodity price volatility is typically asymmetric across different actors. Farmers, for example, unlike speculators, utilise price risk management (PRM) instruments such as futures markets to mitigate price risks and appear to suffer from intensified volatility precisely because of their use of these instruments. Therefore, additional policies to cope with commodity price volatility, such as direct price controls or mitigation of consequences, can have critical stabilising functions supporting farmers' welfare and regional (rural) development.     

中加菜籽油期货市场波动溢出实证研究

利用误差修正模型、BEKK-GARCH模型和格兰杰因果关系实证研究了加拿大和中国菜籽油期货市场之间的信息传导、波动溢出和价格引导关系。实证结果显示：这两个市场之间存在一定的信息传导关系;加拿大菜籽油期货市场对中国菜籽油期货市场存在显著的波动溢出效应,而中国菜籽油期货市场对加拿大菜籽油期货市场的波动溢出不显著;短期内加拿大菜籽油期货市场对中国菜籽油期货市场的价格引导作用更强些,这与加拿大菜籽油期货市场是全球菜籽油定价中心的实际相吻合,而中国菜籽油期货市场的竞争力有待进一步提升。     

Managing multiple international risks simultaneously with an optimal hedging model

A risk management model based on portfolio theory which accounts jointly for price, quantity, interest rate and exchange rate risks is developed and applied to cocoa and coffee production and exports in the Ivory Coast. Utilizing commodity and financial futures markets jointly, the results show that a government export agency can reduce risks from 27% to 89% by following a multicommodity hedging program which manages several risks simultaneously. The model and technique developed are applicable to many multiproduct firm and international risk management situations.     

Commodity futures markets: a survey

This review article describes the main contributions in the literature on commodity futures markets. It is argued that modern studies have focused primarily on technical questions, with insufficient economic content. More research needs to be directed towards understanding fundamental economic issues such as why so few farmers hedge, the impacts of government farm programs on commodity futures, and the market impacts of commodity pools. The literature has failed to explain the prevalence of inverted markets in grains and oilseeds, and there is unexplainable price volatility in markets such as hogs and orange juice.     

Information-rich wheat markets in the early days of COVID-19

This paper uses the information implicit in commodity futures and options prices to infer market beliefs about the impact of early-stages COVID-19 on commodity market fundamentals. The particular commodity examined is soft red winter (SRW) wheat, and the timeframe is early February to late March 2020. The analysis highlights various adjustments in the cash and futures price of SRW wheat in light of surging short-run demand from consumer hoarding of staple food products, and a weakening long-run market from growing wheat stocks and an emerging global recession. This split is causing the forward curve to flatten and basis levels to invert. The change over time in the price of options on wheat futures reveals increased price volatility in response to growing uncertainty about the COVID-19 impacts. Similarly, changes in the skewness of the option's volatility smile illustrate a shift in traders’ perception about risk in the right versus left tail of the price distribution.     

New Futures Markets in Agricultural Production Rights: Possibilities and Constraints for the British and Dutch Milk Quota Markets

Farms are increasingly being affected by policies that involve production rights. Because of fluctuations in the prices of these rights in the spot market, farmers face a price risk. Establishing a futures market might enable them to hedge against this price risk. Rights futures have some features that differ from those of traditional commodity futures. This makes them an effective and efficient tool for managing price risk. The implications of these findings will be illustrated for milk quotas in the United Kingdom and The Netherlands. Prior conditions which might make a futures market for milk quotas successful in both countries will be deduced.     

Did Futures Markets Stabilise US Grain Prices?

Though economists are divided over whether, in practice, futures markets reduce spot price volatility, observers of nascent nineteenth century US futures markets essentially praised the stabilising effects of this financial innovation. Indeed, such praise is understandable, particularly if, as the Chicago Board of Trade (CBOT) and others assert, “violent” spot price fluctuations were common prior to, but not after, the 1870s; the same decade that grain trade historians typically associate with the birth of the modern futures contract. And whereas these events may be unrelated, the claim is intriguing because it requires that nineteenth century futures prices fulfil their price discovery function, a property that many modern futures markets do not possess. This paper explores what role, if any, the advent of futures trading may have had on spot price volatility. I corroborate the CBOT's assertion regarding diminished spot price volatility around the 1870s and show that early futures prices did indeed fulfil their price discovery function. Moreover, I address two alternative hypotheses that relate the decline in spot price volatility to the Civil War. Ultimately, I maintain that the evolution of futures markets is the principal proximate reason why commodity spot price volatility diminished.     

The Simultaneous Hedging of Price Risk, Crop Yield Risk and Currency Risk

This study analyzes the joint hedging decision of a Canadian firm in U S. based price and yield futures. The key results of this study are that jointly hedging price and yield can reduce more revenue risk than hedging only with price futures. For offshore hedgers, the evidence shows that foreign exchange risk is important and can be reduced by jointly hedging in the currency futures markets.
Nous analysons les décisions de couverture multiple d'une entreprise canadienne contre les risques afférents aux prix et aux rendement à terme. Les conclusions clés de l'étude sont qu'une couverture simultanée contre ces deux risques peut accorder une meilleure protection qu'une couverture établie seulement contre les risques des prix à terme. Pour ceux qui font affaire avec un pays étranger, l'expérience montre que le risque afférent au taux de change est important et qu'il est possible de le réduire en se couvrant en měme temps contre les risques affectant la valeur à terme de l'argent.     

Futures markets and real estate public equity: Connectivity of lumber futures and Timber REITs

This paper investigates connectivity between lumber futures contracts, Timberland REITs, the FTSE NAREIT U.S. REIT index, spot prices, and timberland capitalization rates, and contributes to this tranche of research by empirically linking the price discovery process of Timberland Real Estate Investment Trusts to lumber futures. We employ VEC and GARCH models, providing evidence that lumber futures have a positive significant long- and short-run equilibrium relationship with publicly traded Timber REIT prices, connecting a specific futures commodity with its theoretically entwined real estate equity index. As such, exogenous factors that influence Timber REIT prices are documented leading to possible diversification/risk reduction strategies.     

Finding optimal price risk management instruments: the case of the Spanish potato sector

This article offers a comprehensive analysis of the problem of choosing between alternative market risk management instruments. We model farmers' behavior to optimize the certainty equivalent, formulated by a mean–variance model, by combining instruments with and without basis risk. Results are expressed as the demands for hedging with futures, forward contracts and insurance. Theoretical results are applied to a selection of Spanish producers of fresh potatoes, a sector that is exposed to significant market risks. Amsterdam's Euronext provides potato futures prices, and the recently launched revenue insurance in Spain provides the example for price insurance. Three conclusions summarize the article's main findings. First, we show that Spanish potato revenue insurance subsidies are a factor that determines the instrument rankings and choice. Second, the efficiency of insurance subsidies is generally low. Finally, the Amsterdam potato futures market does not provide a cost‐effective means to manage price risks for Spanish fresh potato growers.     

Why does on-farm storage fail to mitigate price volatility?

We analyze the role of farm stock management on price volatility under liquidity constraints and heterogeneous price expectations. In commodity markets, speculative behaviors by stockholders tend to reduce price volatility, but this is not the case in certain agricultural markets, where speculation by farmers regarding decisions to sell or store grain is subject to liquidity constraints and heterogeneous price expectations. Like stockholders, most farmers sell grain if they expect a price drop in the near future, but unlike stockholders, they are not necessarily able to purchase grain if they expect a price increase in the next period. Heterogeneous price expectations can also lead to suboptimal storage decisions, further increasing price volatility. For these reasons, the storage management behavior of farmers often fails to mitigate price drops in the way that speculation by stockholders does. We merge historical data on maize prices and household storage collected in Burkina Faso in order to build a dynamic panel over the 2005–2012 period. We show that carryover from one season to the next is associated with unexpected price drops during the preceding lean season and that carryover is associated with more frequent unexpected price drops following the subsequent post‐harvest season.     

The Role of Farmer's Behavioral Attitudes and Heterogeneity in Futures Contracts Usage

The relationship between farmers' behavioral attitudes and use of futures contracts is examined, taking into account non-directly observable variables and the heterogeneity of farmers. The relationships are tested on a stratified data sample of 440 farmers. Cluster analysis and covariance structure equation models are used to validate the relationships. Farmers are found not to be homogenous regarding the factors influencing their use of futures. Heterogeneity at the segment level masked important effects at the aggregate level, notably risk attitude. Furthermore, several psychological constructs for farmers related to market orientation, risk exposure, market performance and entrepreneurial behavior play important roles in their use of futures contracts.     

Measuring price discovery between nearby and deferred contracts in storable and nonstorable commodity futures markets

Using price discovery measures, including Putniņš’ (2013) information leadership share and intraday data, we quantify the proportional contribution of nearby and deferred contracts in price discovery in the corn and live cattle futures markets. On average, nearby contracts reflect information more quickly than deferred contracts in the corn market, but have a relatively less dominant role in the live cattle market. In both markets, the nearby contract loses dominance when its relative volume share dips below 50%, which typically occurs when the nearby is close to maturity. Regression results indicate that the share of price discovery is mainly related to trading volume and time to expiration in both markets. In the corn market, price discovery share between nearby and deferred contracts is also related to inverse carrying charges, crop year differences, USDA announcements, market crashes, and commodity index position rolls. Differences between corn and live cattle markets are consistent with differences in the contracts’ liquidity and commodity storability.     

Destabilizing role of futures markets on North American hard red spring wheat spot prices

The objective of the paper is to determine if the futures prices of hard red spring wheat (HRSW) have stabilizing or destabilizing impact on spot HRSW price in North America. Several important results emerge from thorough empirical analysis. First, both Granger causality tests and directed acyclic graph algorithms (DAGs) point to two-way causality between futures and spot HRSW prices and thus endogeneity in both prices formation. To the contrary, both procedures suggest that ending stocks are exogenous to spot and futures HRSW prices. Both vector error correction model and impulse response functions point to a large and long-lasting impact of a shock to futures price on spot price level. Finally, variance decomposition analysis indicates that futures prices are responsible for the bulk of spot price volatility in both short and long run. Our result is consistent with those of theoretical models suggesting that when production (supply side) is the dominant disturbance, spot price is destabilized in both the short and the long run by futures prices. An important implication of this research is the need for alternative market mechanisms or alternative farm policy measures that would mitigate price risk and ensure sustainable farming of American HRSW farmers.