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| Registros recuperados: 1,657 | |
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| Fortenbery, T. Randall. |
| This paper examines three invited papers focused on commodity prices. Public responses to high nominal commodity prices and perceived increases in price risk have ranged from attempts to assign blame, attempts to change contracting arrangements, and development of public policy that ‘‘protects’’ the market from future occurrences of unacceptable behavior. Interestingly, a result of increased commodity price volatility has suggested that futures markets no longer ‘‘work.’’ This is ironic given that futures markets initially came into existence as tools for managing the negative impacts of commodity price risk. In response to perceptions of market failure some are looking for strategies to regulate the who and how of futures trading. |
| Tipo: Journal Article |
Palavras-chave: Futures markets; Hedging; Price risk; Risk management; Speculation; Agribusiness; Agricultural Finance; Marketing; Risk and Uncertainty; G13; Q11; Q13; Q14. |
| Ano: 2009 |
URL: http://purl.umn.edu/53084 |
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| Hignight, Jeffrey A.; Watkins, K. Bradley; Anders, Merle M.. |
| No-till (NT) has been shown to reduce fuel, labor, and machinery costs compared to conventional-till (CT) but very few rice producers in Arkansas practice NT. The low adoption rate is most likely due to difficulties in management but also limited information on the profitability and risk of NT. Most rice producers are knowledgeable on NT costs savings but consider it less profitable due to yield reductions offsetting costs savings. This study evaluates production costs, crop yields, and economic risk of both NT and CT in five rice-based cropping systems (continuous rice, rice-soybean, rice-corn, rice-wheat, and rice-wheat-soybean-wheat). Yields, crop prices, and key input prices are simulated to create net return distributions. Stochastic efficiency... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Cropping systems; Rice; No-till; Certainty equivalent; Risk premium; Crop Production/Industries; Farm Management; Financial Economics; Land Economics/Use; Production Economics; Risk and Uncertainty. |
| Ano: 2010 |
URL: http://purl.umn.edu/56354 |
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| Xing, Liu; Pietola, Kyosti. |
| This paper estimates optimal hedging ratios for a Finnish spring wheat producer under price and yield risk. The forward contract available for hedging fixes the price and quantity at the time of sowing for a delivery at harvest. Autoregressive models are used to obtain point forecasts for the conditional mean price and price volatility at harvest. Expected yield and yield volatility are estimated from the field experiment data. A range of coefficients of absolute risk aversion are used in the computations. The results suggest that yield volatility is large and it dominates the price volatility in the optimal hedging decisions of the Finnish wheat producers. Nevertheless, a potential for large negative correlation between the price and the yield decreases... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Hedging ratio; Risk; Forward contract; Financial Economics; Risk and Uncertainty; Q14. |
| Ano: 2005 |
URL: http://purl.umn.edu/24467 |
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| Archer, David W.; Kludze, Hillarius. |
| We analyze the risks, returns and optimal adoption strategies for a representative Minnesota farm switching from conventional to organic cropping systems. The EPIC simulation model was calibrated based on the yields observed in a farming systems field study. A farm-level simulation model was constructed using the EPIC simulated crop yields and historical prices. Results were compared for an expected utility maximizing farm under a range of risk aversion levels, with and without management learning curves and biological transition effects. A dynamic programming model was then constructed to evaluate the joint effects of machinery replacement decisions, learning curves, and biological transition effects on optimal adoption strategies. Results show that... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk and Uncertainty. |
| Ano: 2006 |
URL: http://purl.umn.edu/21278 |
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| Ford, Beth Pride; Musser, Wesley N.. |
| Previous studies of historical risk have used either nominal or real data to calculate risk measures for agricultural prices and income. However, the effects of using nominal and real data have not been evaluated. This study utilizes theoretical variance approximation relationships to examine variances from detrended real and nominal time series. The relationships between variances are derived for quarterly U.S. farm milk prices for 1960-72, 1973-80, and 1981-90. Contrary to common intuitive arguments, results indicate that variances of real time series can be larger than variances of nominal series. While definitive conclusions are not possible, several reasons for using nominal data in risk analysis are given. |
| Tipo: Journal Article |
Palavras-chave: Detrending; Indices; Nominal data; Risk measurement; Risk and Uncertainty. |
| Ano: 1995 |
URL: http://purl.umn.edu/15259 |
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| Freshwater, David. |
| Agricultural data systems remain based upon now obsolete concepts. In particular, the "full-time, family farm" is still organizing concepts for much of the farm data system, and for agricultural policies. Yet farming has clearly bifurcated into: a relatively small number of large farms that produce the majority of the food and fiber; and a large number of small part-time farms that depend mainly on off-farm income for household well-being. Both types are family farms, but they are not the family farms of the past. It is broadly recognized that large farms pose complex challenges for data collection and policy. But small farms are also complex. While small farms may not account for much production they are important for land use issues and for maintaining... |
| Tipo: Working Paper |
Palavras-chave: Data concepts; Farm policy; Agricultural policy; Canada; Data collection; Risk; Agricultural and Food Policy; Farm Management; Risk and Uncertainty. |
| Ano: 2012 |
URL: http://purl.umn.edu/119473 |
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| Gjolberg, Ole; Steen, Marie. |
| Agricultural producers face significant price risk. For some products, farmers may hedge this risk in well-functioning futures markets. For several products, however, no such risk management instrument is readily available. We suggest that farmers reduce price risk by organizing cooperatives where members diversify by creating "accounting" portfolios. The approach is illustrated with data from the Dutch flower market, and some practical problems connected to such cooperative risk pooling in agriculture are addressed. |
| Tipo: Journal Article |
Palavras-chave: Agribusiness; Risk and Uncertainty. |
| Ano: 1999 |
URL: http://purl.umn.edu/46374 |
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| Registros recuperados: 1,657 | |
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