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Basis Risk and Weather Hedging Effectiveness

Citations

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Cited by:

  1. Raucci, Gian Lucca & Silveira, Rodrigo Lanna F. & Capitani, Daniel H D, 2018. "Development Of Weather Derivatives: Evidence From Brazilian Soybean Market," 2018 Annual Meeting, August 5-7, Washington, D.C. 274105, Agricultural and Applied Economics Association.
  2. Lu Zong & Manuela Ender, 2016. "Spatially-Aggregated Temperature Derivatives: Agricultural Risk Management in China," IJFS, MDPI, vol. 4(3), pages 1-17, September.
  3. Zhiwei Shen & Martin Odening, 2013. "Coping with systemic risk in index-based crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 44(1), pages 1-13, January.
  4. Hardaker, J. Brian & Lien, Gudbrand D., 2009. "What Next in Decision Analysis for Agricultural and Resource Economics?," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48160, Australian Agricultural and Resource Economics Society.
  5. Kleiman, Rachel M. & Characklis, Gregory W. & Kern, Jordan D., 2022. "Managing weather- and market price-related financial risks in algal biofuel production," Renewable Energy, Elsevier, vol. 200(C), pages 111-124.
  6. Joshua D. Woodard & Bruce J. Sherrick & Gary D. Schnitkey, 2010. "Revenue Risk-Reduction Impacts of Crop Insurance in a Multicrop Framework," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 32(3), pages 472-488.
  7. Chantarat, Sommarat & Mude, Andrew G. & Barrett, Christopher B. & Turvey, Calum G., 2017. "Welfare Impacts of Index Insurance in the Presence of a Poverty Trap," World Development, Elsevier, vol. 94(C), pages 119-138.
  8. van Kooten, G Cornelis & Guo, Changhao & Sun, Baojing, 2015. "Risking-sharing Efficiency of Hedging Strategies," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205756, Agricultural and Applied Economics Association.
  9. M. Ritter & O. Mußhoff & M. Odening, 2014. "Minimizing Geographical Basis Risk of Weather Derivatives Using A Multi-Site Rainfall Model," Computational Economics, Springer;Society for Computational Economics, vol. 44(1), pages 67-86, June.
  10. Sheng, Di & Lambert, Dayton M. & Hellwinckel, Chad, 2016. "A Copula-based Approach to Simulate Climate Impacts on Yield: Some Preliminary Findings," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230006, Southern Agricultural Economics Association.
  11. Bucheli, Janic & Dalhaus, Tobias & Finger, Robert, 2022. "Temperature effects on crop yields in heat index insurance," Food Policy, Elsevier, vol. 107(C).
  12. Å tulec, Ivana & Petljak, Kristina & Naletina, Dora, 2019. "Weather impact on retail sales: How can weather derivatives help with adverse weather deviations?," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 1-10.
  13. Turvey, Calum G. & Kong, Rong & Belltawn, Burgen, 2009. "Weather Risk and the Viability of Weather Insurance In Western China," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49362, Agricultural and Applied Economics Association.
  14. Jensen, Nathaniel D. & Barrett, Christopher B. & Mude, Andrew G., 2014. "Basis Risk and the Welfare Gains from Index Insurance: Evidence from Northern Kenya," MPRA Paper 59153, University Library of Munich, Germany.
  15. Wei Xu & Guenther Filler & Martin Odening & Ostap Okhrin, 2010. "On the systemic nature of weather risk," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 70(2), pages 267-284, August.
  16. Buchholz, Matthias & Musshoff, Oliver, 2014. "The role of weather derivatives and portfolio effects in agricultural water management," Agricultural Water Management, Elsevier, vol. 146(C), pages 34-44.
  17. Cui, Hairong & Zhou, Ying & Dzandu, Michael D. & Tang, Yinshan & Lu, Xunfa, 2019. "Is temperature-index derivative suitable for China?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
  18. Vroege, Willemijn & Dalhaus, Tobias & Finger, Robert, 2019. "Index insurances for grasslands – A review for Europe and North-America," Agricultural Systems, Elsevier, vol. 168(C), pages 101-111.
  19. Monika Wieczorek-Kosmala, 2020. "Weather Risk Management in Energy Sector: The Polish Case," Energies, MDPI, vol. 13(4), pages 1-21, February.
  20. Xiaofeng Cao & Ostap Okhrin & Martin Odening & Matthias Ritter, 2015. "Modelling spatio-temporal variability of temperature," Computational Statistics, Springer, vol. 30(3), pages 745-766, September.
  21. Schmidt, Lorenz & Odening, Martin & Schlanstein, Johann & Ritter, Matthias, 2021. "Estimation of the Farm-Level Yield-Weather-Relation Using Machine Learning," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317075, German Association of Agricultural Economists (GEWISOLA).
  22. Möllmann, Johannes & Buchholz, Matthias & Kölle, Wienand & Musshoff, Oliver, 2020. "Do remotely-sensed vegetation health indices explain credit risk in agricultural microfinance?," World Development, Elsevier, vol. 127(C).
  23. Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
  24. Chantarat, Sommarat & Mude, Andrew G. & Barrett, Christopher B. & Turvey, Calum G., 2017. "Welfare Impacts of Index Insurance in the Presence of a Poverty Trap," World Development, Elsevier, vol. 94(C), pages 119-138.
  25. Banerjee, Chirantan & Berg, Ernst, 2011. "Efficiency Of Wind Indexed Typhoon Insurance For Rice," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114240, European Association of Agricultural Economists.
  26. Hain, Martin & Schermeyer, Hans & Uhrig-Homburg, Marliese & Fichtner, Wolf, 2018. "Managing renewable energy production risk," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 1-19.
  27. Andrea Martínez Salgueiro & Maria-Antonia Tarrazon-Rodon, 2021. "Weather derivatives to mitigate meteorological risks in tourism management: An empirical application to celebrations of Comunidad Valenciana (Spain)," Tourism Economics, , vol. 27(4), pages 591-613, June.
  28. Kellner, Ulla & Musshoff, Oliver, 2011. "Precipitation or water capacity indices? An analysis of the benefits of alternative underlyings for index insurance," Agricultural Systems, Elsevier, vol. 104(8), pages 645-653, October.
  29. Shenan Wu & Barry K. Goodwin & Keith Coble, 2020. "Moral hazard and subsidized crop insurance," Agricultural Economics, International Association of Agricultural Economists, vol. 51(1), pages 131-142, January.
  30. Doms, Juliane, 2017. "Put, call or strangle? About the challenges in designing weather index insurances to hedge performance risk in agriculture," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261990, German Association of Agricultural Economists (GEWISOLA).
  31. Yu, Jisang & Vandeveer, Monte & Volesky, Jerry, 2017. "Basis Risk and Effectiveness of Rainfall Index Insurance for Pasture, Rangeland and Forage," SCC-76 Meeting, 2017, March 30-April 1, Pensacola, Florida 256327, SCC-76: Economics and Management of Risk in Agriculture and Natural Resources.
  32. Andrea Martínez Salgueiro & Maria-Antonia Tarrazon-Rodon, 2020. "Approaching rainfall-based weather derivatives pricing and operational challenges," Review of Derivatives Research, Springer, vol. 23(2), pages 163-190, July.
  33. Zhang, Jingong & Tan, Ken Seng & Weng, Chengguo, 2017. "Optimal hedging with basis risk under mean–variance criterion," Insurance: Mathematics and Economics, Elsevier, vol. 75(C), pages 1-15.
  34. Ivana Štulec, 2017. "Effectiveness of Weather Derivatives as a Risk Management Tool in Food Retail: The Case of Croatia," IJFS, MDPI, vol. 5(1), pages 1-15, January.
  35. Banerjee, Chirantan & Berg, Ernst, 2012. "Policy for implementation of Index Based Weather Insurance revisited: the case of Nicaragua," 123rd Seminar, February 23-24, 2012, Dublin, Ireland 122448, European Association of Agricultural Economists.
  36. Schmidt, Lorenz & Odening, Martin & Schlanstein, Johann & Ritter, Matthias, 2022. "Exploring the weather-yield nexus with artificial neural networks," Agricultural Systems, Elsevier, vol. 196(C).
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