153 research outputs found
Pricing Weather Derivatives
No full textThis article presents a general method for pricing weather derivatives. Specification tests find that a temperature series for Fresno, CA follows a mean-reverting Brownian motion process with discrete jumps and autoregressive conditional heteroscedastic errors. Based on this process, we define an equilibrium pricing model for cooling degree day weather options. Comparing option prices estimated with three methods: a traditional burn-rate approach, a Black-Scholes-Merton approximation, and an equilibrium Monte Carlo simulation reveals significant differences. Equilibrium prices are preferred on theoretical grounds, so are used to demonstrate the usefulness of weather derivatives as risk management tools for California specialty crop growers. Copyright 2004, Oxford University Press.
Multiple Horizons and Information in USDA Production Forecasts
No full textUSDA livestock production forecasts are evaluated for information across multiple horizons using the direct test developed by Vuchelen and Gutierrez. Forecasts are explicitly tested for rationality (unbiased and efficient) as well as for incremental information out to three quarters ahead. The results suggest that although the forecasts are often not rational, they typically do provide the forecast user with unique information at each horizon. Turkey and milk production forecasts tended to provide the most consistent performance, while beef production forecasts provided little information beyond the two quarter horizon.Livestock Production/Industries,
Price Discovery in Private Cash Forward Markets - The Case of Lumber
No full textCash forward contracting is a common, and often preferred, means of managing price risk for agribusinesses. Despite this, little is known about the performance of cash forward markets, in particular the role they play in price discovery. The lumber market provides a unique case for examining this issue. The Bloch Lumber Company maintains an active cash forward market for many lumber products, and publishes benchmark forward prices on their website and disseminates these prices to data vendors. Focusing on 2x4 random lengths lumber and 7/16 oriented strand board, this research examines the lead-lag relationships between the three-month forward prices published by Bloch Lumber and representative spot prices. Results suggest that at least for 2x4 random lengths lumber, the forward prices published by Bloch Lumber lead the spot price. However, spot prices do not lead the forward prices for 2x4 random lengths lumber, but do for oriented strand board. While these results suggest that the Bloch Lumber forward cash prices are contributing to price discovery, the dominant market for price discovery may be an existing spot or futures market.Marketing,
USDA PRODUCTION FORECASTS FOR PORK, BEEF, AND BROILERS: AN EVALUATION
No full textOne-step-ahead forecasts of quarterly beef, pork, and poultry production are examined and evaluated based on traditional criteria for optimality-efficiency and unbiasedness-as well as their performance versus a univariate time-series model. However, traditional regression methodology for evaluating forecasts is avoided due to interpretive issues. Instead, an empirical framework focusing on forecast errors in employed. Results suggest USDA forecasts are unbiased, but generally not efficient. That is, they do not fully incorporate the information contained in past forecasts. Moreover, USDAÂ’'s predictions do not encompass all the information contained in forecasts generated by simple time-series models. Thus, practitioners who use the USDA forecasts may want to supplement them with time-series forecasts.Agribusiness,
RISK MANAGEMENT TECHNIQUES FOR AGRICULTURAL COOPERATIVES: AN EMPIRICAL EVALUATION
No full textWhile not ignoring risk, agricultural cooperatives tend to accommodate risk through the holding of internal capital reserves rather than engage in active risk management. A lack of information regarding the risk, returns, and the effect on cooperative financial performance of both traditional and innovative risk management strategies is likely a constraint to the adoption of active risk management by cooperatives. In this research, we examine the influence of alternative risk management strategies on cooperative financial performance, namely the return on assets (ROA) of grain merchandising cooperatives of various sizes. Strategies include traditional exchange traded futures and options strategies, an over-the-counter revenue swap, throughput insurance, and combinations of price and throughput strategies. Each of these strategies, for small, medium, and large size firms, are evaluated using a range of procedures including techniques which rely on mean-variance efficiency as well as evaluation procedures which help determine the ability of a strategy to mitigate downside risk. The results of the simulation exercise provide considerable support for the routine buying of at-the-money put options in setting a commodity floor price. The results also support the use, and perhaps the development, of insurance on cooperative throughput if the insurance product is used in conjunction with a price risk management strategy, in essence providing a hedge against downfalls in revenue. Over-the-counter revenue swaps, while intuitively appealing, did not perform well on average relative to more traditional exchange traded products. This result is especially important given the added counter party risk associated with such contracts. However, in some cases, the revenue swap, as well routine hedging with futures, performed better under a Value-at-Risk evaluation criteria than with a mean-variance criteria. Hence, it is important for cooperative managers to consider these results in the context of the risk management goals.Agribusiness,
Cooperative risk management : rationale and effectiveness
No full textabstract: Agricultural cooperatives tend to be riskier than investor-oriented firms, both in a business and financial sense. However, cooperative managers are often reluctant to actively manage risk. Although the “risk management irrelevance proposition” suggests that cooperative managers should be unable to add shareholder value through risk management activities, this study argues that there are several reasons why this is not likely to be the case for cooperatives. Several empirical examples are provided through numerical simulation of pro-forma financial statements from representative agricultural cooperatives. Using mean variance, expected utility and valueat-risk metrics, the results of these simulations show that various risk management strategies can improve the risk-return profile of a typical cooperative.Faculty working paper series (Morrison School of Agribusiness and Resource Management) ; MSABR 03-01Includes bibliographical references (p. 10-13)
AGRICULTURAL COOPERATIVES AND RISK MANAGEMENT:IMPACT ON FINANCIAL PERFORMANCE
No full textAgricultural cooperatives, like all agribusinesses, operate in an inherently risky environment. Many risk management tools exist, but agricultural cooperatives have been slow to adopt sophisticated risk management practices. Using simulation methods, this paper presents insight into how both traditional and innovative risk management practices effect the distribution of key financial variables for agricultural cooperatives.Agribusiness,
Infrequent Shocks and Rating Revenue Insurance: A Contingent Claims Approach
No full textRevenue insurance represents an important new risk management tool for agricultural producers. While there are many farm-level products, Group Risk Income Protection (GRIP) is an area-based alternative. Insurers set premium rates for GRIP on the assumption of a continuous revenue distribution, but discrete events may cause the actual value of insurance to differ by a significant amount. This study develops a contingent claims approach to determining the error inherent in ignoring these infrequent events in rating GRIP insurance. An empirical example from the California grape industry demonstrates the significance of this error and suggests an alternative method of determining revenue insurance premiums.Black-Scholes, contingent claim, grapes, insurance, jump-diffusion, option pricing, Risk and Uncertainty,
TIME-VARYING MULTIPRODUCT HEDGE RATIO ESTIMATION IN THE SOYBEAN COMPLEX: A SIMPLIFIED APPROACH
No full textIn developing optimal hedge ratios for the soybean processing margin, many authors have illustrated the importance of considering the interactions between the cash and futures prices for soybeans, soybean oil, and soybean meal. Conditional as well as time-varying hedge ratios have been examined, but in the case of multiproduct time-varying hedge ratios, the difficulty in estimation has been found to often outweigh any improvement in hedging effectiveness. This research examines the hedging effectiveness of the Risk Metrics procedure for estimating a time-varying covariance matrix for developing optimal hedge ratios for the soybean processing margin. The Risk Metrics method allows for a time-varying covariance matrix while being considerably easier to implement than multivariate GARCH (MGARCH) procedures. The Risk Metrics procedure has been advocated for use in developing Value-at-Risk estimates. While it provided considerable out-of-sample improvement in hedging effectiveness relative to a constant correlation MGARCH procedure, the Risk Metrics method provided only minimal improvement over a naive (1-to-1) hedging strategy. However, this research does illustrate the potential for the Risk Metrics methodology as a viable alternative to MGARCH procedures in a multiproduct hedging context.Marketing,
Innovative Insurance Products in Food Safety: Pricing Revenue Insurance in the Fresh Spinach Industry
No full textabstract: The lack of food safety in a grower's produce presents the grower with two risks; (1) that an item will need to be recalled from the market, incurring substantial costs and damaging brand equity and (2) that the entire market for the commodity becomes impaired as consumers associate all produce as being risky to eat. Nowhere is this more prevalent than in the leafy green industry, where recalls are relatively frequent and there has been one massive E. coli outbreak that rocked the industry in 2006. The purpose of this thesis is to examine insurance policies that protect growers from these risks. In doing this, a discussion of current recall insurance policies is presented. Further, actuarially fair premiums for catastrophic revenue insurance policies are priced through a contingent claims framework. The results suggest that spinach industry revenue can be insured for $0.02 per carton. Given the current costs of leafy green industry food safety initiatives, growers may be willing to pay for such an insurance policy.Dissertation/ThesisM.S. Agribusiness 201
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