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 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.     

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.     

Why do farmers have so little interest in futures markets?

A farm financial model with leverage and investment in two farm enterprises is specified. The model is extended to incorporate futures hedging and the Separation Theorem is used to show that optimal hedging is zero. The assumption of a risk‐free asset is relaxed and, while this leads to a violation of the Separation Theorem, the result that optimal hedging is zero is maintained providing that futures markets are efficient. It is concluded that if capital markets are efficient then farmers will have little interest in futures markets except to speculate.     

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.     

Potential demand for hedging by Australian wheat producers

The potential for hedging Australian wheat with the new Sydney Futures Exchange wheat contract is examined using a theoretical hedging model parametised from previous studies. The optimal hedging ratio for an ‘average’ wheat farmer was found to be zero under reasonable assumptions about transaction costs and based on previously published measures of risk aversion. The estimated optimal hedging ratios were found by simulation to be quite sensitive to assumptions about the degree of risk aversion. If farmers are significantly more risk averse than is currently believed, then there is likely to be an active interest in the new futures market.     

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.     

Optimal Hedging with a Subjective View: An Empirical Bayesian Approach

The standard optimal hedging model has been the preferred theoretical model of normative hedging behavior. In empirical applications, the model is often implemented with the parameter certainty equivalent (PCE) procedure. However, the PCE procedure completely ignores parameter estimation risk and subjective views. We develop an "empirical" Bayesian optimal hedging model that not only effectively accommodates parameter estimation risk, but also provides hedgers with a theoretically intuitive yet quantitatively rigorous framework to blend their subjective views and a "marketwide" or "firmwide" consensus in determining optimal hedging positions (ratios).     

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.     

Risk Management for Grain Processors and “Copulas”

The importance of calibrating hedging strategies for processors has escalated primarily due to the sharply increased volatility of futures, product, and by‐product prices. The purpose of this paper is to analyze price risk‐management strategies for wheat flour milling using copula distributions. While the application is for flour milling, it has similarities with other processing industries which confront one or more ingredients, one or more outputs, and futures for one of the commodities and/or products. The paper develops utility maximizing models encompassing expected return and risk. Alternative scenarios are evaluated. First, the models were used to derive optimal hedge ratios, as well as various measures of risk and return under alternative scenarios, and hedge durations. The results indicated hedge ratios are typically less than 1. The hedge ratios for the Mean‐value‐at‐risk (M‐VaR)‐Copula model increased with greater durations. Second, the VaR for the M‐VaR‐Copula was in most cases less than the noncopula specifications. Thus, noncopula models may over state risk as represented by VaR.     

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.     

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.     

BASIS RISK AND HEDGING STRATEGIES FOR AUSTRALIAN WHEAT EXPORTS

Basis risk can play a significant role in the determination of effective hedging strategies. In this paper a portfolio framework is developed to examine the effect of basis risk on hedging strategies for Australian wheat exports. Monthly data for the period 1977 to 1984 were used to implement the analytical framework. While the traditional definition of hedging implies a hedge ratio of unity, the results of this research show that the average ratio of optimal hedge to stockholding is well below unity. Evolving market conditions can also cause the optimal hedge ratio to vary substantially over time.     

Pests and pesticides,risk and risk aversion

Theoretical and applied literature on risk in decision making for agricultural pest control is reviewed. Risk can affect pesticide decision making either because of risk aversion or because of its influence on expected profit. It is concluded that risk does not necessarily lead to increased pesticide use by individual farmers. Uncertainty about some variables, such as pest density and pest mortality, does lead to higher optimal pesticide use under risk aversion. However, uncertainty about other important variables, such as output price and yield, leads to lower optimal levels of pesticide use. Neglect of these variables in most studies has led to the false assumption that pesticides are always risk-reducing inputs. Furthermore, there is evidence that, in general, the pesticide dosage which maximises expected profit is lower under risk than under certainty. Depending on the balance of forces to increase and decrease pesticide use under risk, in many circumstances the net effect of risk on optimal decision making for pest control may be minimal. The effect on risk of information about pest density and other variables (as in integrated pest management programmes) is discussed. Evidence on this issue is mixed. A range of analytical techniques for analysing risk in pest control is reviewed. Throughout the paper, gaps in the existing literature are identified.     

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.     

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.     

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.     

The impact of climate and price risks on agricultural land use and crop management decisions

This article aims to investigate the impacts of climate change and of lower and more volatile crop price levels as currently observed in the European Union (EU) on optimal management decisions, average income and income risks in crop production in Western Switzerland. To this end, a bioeconomic whole-farm model has been developed that non-parametrically combines the crop growth model CropSyst with an economic decision model using a genetic algorithm. The analysis focuses on the farm level, which enables us to integrate a wide set of potential adaptation responses, comprising changes in agricultural land use as well as crop-specific fertilization and irrigation strategies. Furthermore, the farmer's certainty equivalent is employed as objective function, which enables the consideration of not only impacts on average income but also impacts on income variability.The study shows that that the effects of EU crop prices on the optimal management decisions as well as on the farmer's certainty equivalent are much stronger than the effects of climate change. Furthermore, our results indicate that the impacts of income risks on the crop farm's optimal management schemes are of rather low importance. This is due to two major reasons: first, direct payments make up a large percentage of the agricultural income in Switzerland which makes Swiss farmers less vulnerable to market and climate volatility. Second, arable crop farms in Switzerland have by law to cultivate at least four different crops. Due to these diverse cropping systems and high government direct payments risk does neither under climate change, market liberalization nor combinations thereof, play a very decisive role in arable farming in Switzerland.     

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.     

The impacts of multiperil crop insurance on Indonesian rice farmers and production

This article analyzes the effect of multiperil crop insurance policy for risk‐averse Indonesian rice farmers located in Tuban and Gresik Regencies of the East Java Province. Based on the model, comparative static analysis of a change in policy variables (coverage levels and premium subsidies) on input use through the coupling, wealth, and insurance effects are presented. The comparative static results are largely ambiguous and left as empirical questions. Consequently, the model is numerically simulated to quantify the effects of different coverage levels and subsidy rates on input use, expected net insurance payments, and certainty equivalents. The empirical analysis shows that MPCI crop insurance results in a decline in expected yield for coverage levels above about 82.5% for both regencies. Furthermore, higher subsidy rates amplify the reduction in input use and yield. Therefore, incomplete coverage with relatively low premium subsidies is the best policy to minimize the impact on input use and yield. However, from the farmers’ perspective, the optimal policy combination results from the highest coverage level and subsidy, which offer the largest expected net insurance payments and certainty equivalent.