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| Registros recuperados: 12 | |
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| Bobojonov, Ihtiyor; Sommer, Rolf. |
| The paper compares the risk coping potential of insurances that are based on indices derived from weather (rainfall and temperature) data as well as from crop model and remote sensing analyses. Corresponding indices were computed for the case of wheat production in the Aleppo region of northern Syria, representative for agricultural production systems in many developing countries. The results demonstrate that weather derivatives such as the rainfall sum index (RSI) and the rainfall deficit index (RDI) have a very good potential for coping with risk in semiarid areas. Crop simulation model index (CSI) on the other hand could serve as an alternative to RSI and RDI when historical farm yield data is not available or not reliable. In such cases we simulated... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Risk management; Index insurance; Alternative index; CropSyst; NDVI; Risk and Uncertainty. |
| Ano: 2011 |
URL: http://purl.umn.edu/114256 |
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| Vedenov, Dmitry V.; Barnett, Barry J.. |
| This study analyzes efficiency of weather derivatives as primary insurance instruments for six crop reporting districts that are among the largest producers of corn, cotton, and soybeans in the United States. Specific weather derivatives are constructed for each crop/district combination based on analysis of several econometric models. The performance of the designed weather derivatives is then analyzed both in- and out-of-sample. The primary findings suggest that the optimal structure of weather derivatives varies widely across crops and regions, as does the risk-reducing performance of the optimally designed weather derivatives. Further, optimal weather derivatives required rather complicated combinations of weather variables to achieve reasonable fits... |
| Tipo: Journal Article |
Palavras-chave: Agricultural risk management; Crop insurance; Index insurance; Weather derivatives; Risk and Uncertainty. |
| Ano: 2004 |
URL: http://purl.umn.edu/30916 |
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| Carriquiry, Miguel A.; Osgood, Daniel E.. |
| Index insurance and probabilistic seasonal forecasts are becoming available in developing countries to help farmers manage climate risks in production. Although these tools are intimately related, work has not been done to formalize the connections between them. We investigate the relationship between the risk management tools through a model of input choice under uncertainty, forecasts, and insurance. While it is possible for forecasts to undermine insurance, we find that when contracts are appropriately designed, there are important synergies between forecasts, insurance, and effective input use. Used together, these tools overcome barriers preventing the use of imperfect information in production decision making. |
| Tipo: Working or Discussion Paper |
Palavras-chave: Basis risk; Climate forecast; Index insurance; Input decisions; Insurance; Risk management; Farm Management; Risk and Uncertainty. |
| Ano: 2008 |
URL: http://purl.umn.edu/6107 |
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| Carriquiry, Miguel A.; Osgood, Daniel E.. |
| The failure of the development of commercially viable traditional crop insurance products and innovations in financial markers has fed a renewed interest in the search for alternatives to help producers in developing countries manage their risk exposure. Salient among these is the proposal of several index insurance schemes against weather events. Among the basic tenets are that the presence of index insurance allows producers to intensify their operations and reduce the risks of default and hence may induce creditors to offer loans at affordable rates. The two factors combined are touted as key to help producers in developing countries escape poverty traps. Improvements in seasonal climate forecasts create challenges for the design and effective... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Climate forecast; Index insurance; Input Decisions; Risk Management; Weather risks; Risk and Uncertainty. |
| Ano: 2006 |
URL: http://purl.umn.edu/21463 |
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| Skees, Jerry R.. |
| This article focuses on innovation in weather insurance designed to fit the special circum-stances of the poor in lower income countries where rural and agricultural financial markets are largely underdeveloped. Index insurance is an innovation that circumvents many of the fundamental problems that hamper the development of insurance for weather risks in lower in-come countries. With index insurance, payments are made based upon an objective and inde-pendent index that serves as a proxy for significant losses to crops, livestock, or other prop-erty. For example, the index can be based upon extreme rainfall measures that create either drought or flooding. Weather stations or even satellite imagery coupled with computer models can be used to create reliable... |
| Tipo: Journal Article |
Palavras-chave: Index insurance; Financial innovation for the poor; Weather insurance; Correlated risk; Poverty trap; Ex ante risk managemen; Risk and Uncertainty. |
| Ano: 2008 |
URL: http://purl.umn.edu/44733 |
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| Liu, Pu; Miranda, Mario J.. |
| Index insurance has been promoted as a cost-effective risk management alternative for agricultural producers in developing countries. In this paper, we ask whether spatially separated weather variables commonly used in index insurance design, such as rainfall at different weather stations within a defined geographical area, are more highly correlated at the tails. As a case study, we assess the degree of tail dependence exhibited by Iowa June county-level rainfalls using copulas. We search among various candidate bivariate copulas and, using goodness-of-fit for copulas, attempt to identify the copula structures that best explain the nature of dependence among rainfalls in adjacent counties. Our results provide strong evidence that lower tail dependence... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Tail dependence; Copulas; Index insurance; Weather indices; Risk and Uncertainty. |
| Ano: 2010 |
URL: http://purl.umn.edu/61317 |
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| Registros recuperados: 12 | |
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