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Weather-based instruments in the context of whole farm risk management AgEcon
Berg, Ernst; Schmitz, Bernhard.
Recent and presumable future developments tend to increase the risks associated with farming activities. These include climate risks which have always played an important role in farming. Weather based instruments can be valuable tools to reduce the risk associate with unfavourable climatic events. However, a number of factors can limit the hedging effectiveness of these tools. These factors include basis risk, the impacts of remaining price uncertainty and diversification effects. The paper addresses the influence of each of these factors. In its final part an integrated approach for a comprehensive assessment of weather derivatives and other hedging instruments is proposed that is based on the concept of portfolio optimisation.
Tipo: Conference Paper or Presentation Palavras-chave: Downside risk; Portfolio optimisation; Risk management; Risk-value models; Weather derivatives; Risk and Uncertainty.
Ano: 2007 URL: http://purl.umn.edu/9269
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The Semivariance-Minimizing Hedge Ratio AgEcon
Turvey, Calum G.; Nayak, Govindaray.
This study presents a new approach to the optimal hedging decision. In some empirical studies, the standard hedge using the mean-variance hedge ratio provides results which are inconsistent with downside risk management. The new approach taken here relates the optimal hedge ratio to semivariance rather than variance. An algorithm to solve for the minimum semivariance hedge is presented, and applied to hedging Kansas City wheat and Texas steers.
Tipo: Journal Article Palavras-chave: Downside risk; Optimal hedging ratio; Risk management; Semivariance hedge ratio; Research Methods/ Statistical Methods.
Ano: 2003 URL: http://purl.umn.edu/30720
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Production Risk, Farmer Welfare, and Bt Corn in the Philippines AgEcon
Sanglestsawai, Santi; Rejesus, Roderick M.; Yorobe, Jose M., Jr..
This article examines the production risk effects and welfare implications of Bt corn adoption in the Philippines by specifically considering the impact of Bt on the mean, variance, and skewness of yields. Assessing the skewness effects of Bt provides further inferences about the downside risk protection of this technology in a developing country context. Stochastic production function estimation is utilized to achieve the study objective, including an approach that allows for examining the skewness effects of Bt within a damage abatement specification. Our results indicate that Bt corn do not have a statistically significant risk-reducing (i.e., variance-reducing) or downside risk-reducing (i.e., skewness-increasing) effect, the main benefit is through...
Tipo: Presentation Palavras-chave: Bt corn; Damage Abatement; GM crop; Production Risk; Downside risk; Skewness; Stochastic Production Function; Risk and Uncertainty; Q12; Q1.
Ano: 2012 URL: http://purl.umn.edu/124237
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Farm Level Risk Assessment Using Downside Risk Measures AgEcon
Berg, Ernst; Starp, Michael.
Recent and presumable future developments tend to increase the risk associated with farming activities. This causes an increasing importance of risk management. Farmers have a wide variety of possibilities to influence the risk exposure of their operations. Among them are the choice of the production program as well as marketing activities including forward pricing and hedging with futures and options. In total all these opportunities comprise a portfolio of activities which must be selected as to match the resources of the farm as well as the farmer's attitudes towards risk. The paper addresses this issue using a whole farm stochastic optimisation approach based on a risk-value framework. The paper starts with a discussion of risk-value models and the...
Tipo: Conference Paper or Presentation Palavras-chave: Downside risk; Risk management; Risk measure; Risk-value models; Stochastic optimisation; Risk and Uncertainty.
Ano: 2006 URL: http://purl.umn.edu/25400
Registros recuperados: 4
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