Hedging Opportunities for Canadian

The unprecedented commodity price volatility in the last decade has resulted in a growing interest in futures trading by farmers. One of the major reasons often provided for the usefulness of commodity futures markets is that they provide a mechanism whereby producers can shift the risk of price change onto others. Interestingly, little research has been conducted on the effectiveness of the WCE as a hedging tool for farmers.
The objective of this paper was to investigate the extent to which the futures contracts for rapeseed, barley and flaxseed can be used by farmers in order to reduce price risk (measured by volatility). Drawing on earlier literature, the theory of hedging was reviewed and formulae for estimating the optimal hedge and the effectiveness of hedging were presented. An empirical analysis determined that the Winnipeg rapeseed, barley and flaxseed futures contracts are very useful in terms of allowing a producer the opportunity to reduce exposure to price risk.     

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.     

Managing economic risk in value-based marketing of fed cattle

This research investigates optimal price risk management strategies for fed cattle producers engaged in grid pricing. Stochastic simulation is used to determine optimal hedge ratios for fed cattle priced on a live weight basis or on a series of grids that vary in terms of premium/discount structure as well as base price. Results indicate that the optimal hedging strategy is greatly affected by the base price used in a particular grid. This has significant implications for pricing efficiency in the cattle market. Base prices that are linked more closely with downstream markets offer the potential to improve pricing efficiency; however, the risk associated with these prices is difficult to manage effectively with existing futures instruments.     

El Niño,La Niña,and world coffee price dynamics

Coffee is produced in equatorial and subequatorial regions of the world, which are also most affected by El Niño Southern Oscillation (ENSO). ENSO events have a tendency to amplify weather conditions such as droughts or excess precipitation in the affected regions, resulting in production shortage or excess supply, subsequently impacting agricultural commodity prices. In this research we assess effects of ENSO events on world coffee price dynamics using the monthly data between March 1989 and December 2010. We employ smooth transition autoregression framework to examine nonlinear dynamics of ENSO and coffee prices, and illustrate the results of this research using generalized impulse‐response functions. We find that ENSO events indeed have short‐term impacts on coffee prices. The research findings are of interest to coffee producers and intermediaries in the coffee markets as well as researchers in the fields of environmental and development economics.     

Can Futures and Options Markets Hold the Milk Price Safety Net? Policy Conflicts and Market Failures in Dairy Hedging

U.S. Department of Agriculture's Dairy Options Pilot Program promoted hedging by producers, and was a test case for similar programs in other agricultural industries. Rapidly shifting milk pricing policies impeded quantitative hedging evaluations while the program was active. Hedging appears capable of reducing price variance by 50–60% in most regions, and favors large, sophisticated producers in heavy cheese manufacturing regions. Forward contracting or price insurance products may offer lower transaction costs and attract more small-scale producers. Ballooning milk deficiency payments and milk's prominent role in trade-distorting payments suggest an ongoing need to promote private price risk management tools.     

Financial activity in agricultural futures markets: evidence from quantile regressions

This study analyses the relationship between financial activity and price returns in 12 US agricultural futures markets. It contributes to the existing research by exploring the forecasting power of trading activity for returns from the perspective of conditional quantiles. Quantile regressions detect Granger‐causal effects from positions of speculators and index traders to price returns in a wide range of commodity markets such as cocoa, coffee, corn, sugar and SRW wheat.     

Developing Hedging Strategies for Québec Hog Producers under Revenue Insurance

The paper investigates the optimal hedging strategies of Québec hog producers when they participate in a publicly funded revenue insurance program known as ASRA (Régime d'assurance-stabilisation des revenus agricoles). A forecast model of local cash and futures prices is built and Monte Carlo methods are used to derive the optimal futures and option positions of Québec hog producers. The positive correlation between forecasts of futures and cash spot prices induces positive sales of futures and put options to hedge price risk. ASRA provides put options to hog producers at actuarially advantageous terms. Producers can increase the expected utility of profits by selling back a portion of these put options using financial markets. Options are attractive to manage price risk given the nonlinearity in the profit function induced by the revenue insurance scheme. Speculative incentives to use futures and options are also discussed in the context of ASRA.     

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.     

The Demand for Hedging and the Value of Hedging Opportunities

Hedging strategies typically assume that hedging is costless and that only one futures market exists. When these assumptions are dropped, the demand for hedging is shown to depend on basis risk, price risk, and the hedger's risk preference. The marginal and incremental value of hedging opportunities are computed for the general cases of one and two markets and applied to the specific case of Pennsylvania dairy input hedging.     

World market integration for export and food crops in developing countries: a case study for Mali and Nicaragua

Using a generalized error correction model, this article measures and compares market integration for export cash crops versus imported food crops for Mali and Nicaragua, and computes transmission elasticities between changes in the goods’ border and domestic prices. Both Mali and Nicaragua obtain the bulk of their export revenue from a particular agricultural commodity—cotton for Mali and coffee for Nicaragua—and both import the same key staple food of rice. To reap the economic gains from this trade specialization, the two countries’ agriculture must be well‐integrated into world markets. The two countries present an important policy contrast that affects their degree of world market integration and price transmission. In Mali, a parastatal enterprise controls its cotton industry, while Nicaragua has less state direction over agriculture. Reflecting this difference, the results show that for both its main export and import commodity, Nicaragua is more integrated into world markets and has higher price transmission than Mali. The results for Nicaragua also show much higher integration and price transmission for its main agricultural export (coffee) than its major import (rice).     

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.     

Post–Uruguay Round price linkages between developed and developing countries: the case of rice and wheat markets

The Uruguay Round Agreement on agriculture attempted to lower distortions in global agricultural markets. However, the significant fall in commodity prices in the late 1990s may have reduced the incentives for both developed and developing countries to better integrate into world markets. This study analyzes price linkages and adjustment between developed and developing countries during the post–Uruguay Round period. Prices of two key commodities, long‐grain rice and medium‐hard wheat, are assembled for major exporters and producers. Results of multivariate cointegration analysis suggest partial market integration between developed and developing countries in the post–Uruguay Round period. Developed countries are found to be price leaders in these two markets, and in most cases, changes in their prices have relatively large impacts on those of the developing countries. Developing countries (e.g., Vietnam and Argentina) have faced considerable price adjustment due to changes in the developed countries' prices.     

Opportunities and Pitfalls of International Futures Markets Trading by Developing Countries

Profitable direct and cross hedging opportunities exist for Zaire coffee hedgers, and some periods may offer significantly superior opportunities. External events and internal policy changes contributed to instability of Zaire hedge ratios. The importance of internal economic and financial changes must be considered to supplement international coffee market information. Other Third World Countries should consider the potential of using international commodities and financials futures markets for information and risk management in the trade of raw materials but be aware of changes in market and financial risks relative to their domestic situation.     

Technology,production environment,and household income: Assessing the regional impacts of technological change

This paper clarifies the factors determining the welfare effects of improved agricultural technologies when technology diffusion is unevenly distributed across production environments Household-level income effects are shown to depend primarily on: (a) whether the economy is open or closed with respect to world markets; (b) whether households are net consumers or net producers of the commodity for which technological change occurs; (c) whether households are adopters or non-adopters of the new technology; (d) the degree to which labor is mobile across agricultural regions; and (e) government intervention in commodity and/or factor markets. A review of recent empirical work indicates considerable variation in the relative strength of these various factors across countries, and that assumptions regarding the mechanism by which commodity prices are determined – endogenously as in a closed economy, or exogenously as in an open economy – is especially critical.     

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.     

OVER-REACTIONS IN US AGRICULTURAL COMMODITY PRICES

The purpose of this paper is to test rationality in agricultural commodity markets. We investigate the price-adjustment process after significant events using abnormally large cash commodity price changes as proxies for the arrivals of significant events in the markets. The evidence suggests that market rationality is violated. Generally, agricultural commodity prices tend to reverse after significant events. This is consistent with the over-reaction hypothesis which maintains that traders in spot commodity markets over-weight more recent information and under-weight prior information in their expectations.     

Price volatility and rational expectations in a sectoral framework commodity model: a multivariate GARCH approach

This article explores supply response models in a rational expectations framework with endogenous risk by using a multivariate generalized autoregressive conditional heteroskedasticity model with Cholesky decomposition. This approach allows the incorporation of price volatility as a risk factor into the supply response of a primary commodity sector that is composed of several markets of homogenous products. The model is applied to the Greek meat sector, which is composed of four major meat categories, that is, beef, lamb, pork, and broiler, and thus the model for the entire market includes supply and demand equations for all the four meat markets, which are estimated simultaneously. The empirical results confirm that price volatility is a significant risk factor in Greek meat production and also provide useful implications about the cost factors of production. Furthermore, the empirical findings show that the last reform of the Common Agricultural Policy seems to have had a negative effect on beef and lamb production in Greece.     

Do farmers benefit from participating in specialty markets and cooperatives? The case of coffee marketing in Costa Rica1

Historically low prices in the conventional coffee market have caused financial and social hardship among coffee farmers. In the face of this crisis, specialty markets have attracted the attention of the international donor community. These market segments have shown consistent growth over the last decade and exhibit price premiums in international markets. Therefore, if higher prices are passed on to farmers, access to specialty markets could help to alleviate the crisis brought on by low prices in the conventional sector. The present study attempts to identify the factors that determine farmers' participation in specialized markets and whether participation in these markets leads to higher prices for farmers. A two-stage model is used to analyze farmers' marketing decisions and their effect on the prices received. This procedure allows us to control for the endogeneity bias introduced by the marketing choice. Our results indicate that farmers participating in the specialty coffee segment do in fact receive higher prices than those participating in conventional channels. Additionally, we find that participation in cooperatives has a positive impact on the probability that a farmer chooses to grow specialty coffee and analogously on the prices that they receive. Based on these results, it seems that efforts to increase participation in the specialty coffee segment and in cooperatives would help to lessen some of the hardships brought on by low prices in the conventional coffee sector.     

Selling at the Farmgate or Traveling to Market

Using detailed survey data from Uganda, this article examines whether coffee producers sell to itinerant traders or directly to markets, where they can get a higher price but must incur a transport cost. We find that selling to the market is more likely when the quantity sold is large and the market is close by. Wealthy farmers are less likely to sell to the market, possibly because the shadow value of their time is higher. But if they have a large quantity of coffee for sale, they are more likely to sell it to the market. They are also more likely to travel to a distant market. These findings are consistent with their better ability to pay for public transportation. We find no evidence that the decision to sell at the farmgate is driven by a self-control motive.