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Designing catastrophic bonds for catastrophic risks in agricultureMacro hedging long and short rains in Kenya

机译:设计应对农业巨灾风险的巨灾债券宏观套期保值肯尼亚长短降雨

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Purpose - The purpose of this paper is to outline a pricing formula for the valuation o± catastrophic (CAT) bonds as applied to multiple trigger drought risks in Kenya.Design/methodology/approach - The valuation model is designed around the multiple triggers of the Mexican Catastrophe bonds, but the valuation model is based on Jarrow's (2010) closed form CAT Bond Pricing model. The authors outline the model structure,the multiple tranches with rainfall triggers, and simulate the model using Monte Carlo methods. Data input was synthesized from historical rainfall data in Kenya's Moyale region as well as prevailing LIBOR and rates and conventional coupons.Findings - The authors compute the valuation model using Monte Carlo techniques. The authors found the pricing method to be robust and consistent under various parameter settings including trigger levels, time after launch, recovery rates, coupon spreads, and zero coupon curves. For example the higher the trigger rates, the lower will be the bond price at issue. With 50 percent recovery the CAT bond at issue would be around $702 with a high triggers and 976 with low triggers, but the valuation changes with parameters.Practical implications - As far as the authors know the use of multiple trigger CAT bonds has been very limited in practice. The valuation formula and methods outlined in this paper show how CAT bonds can be effectively designed to address CAT covariaterisks in developing agricultural economies.Originality/value - This paper examines CAT bonds to investigate multi-trigger rainfall risks in Kenya. The paper shows how CAT bonds can be designed to meet specific and CAT risks. Using Jarrow's (2010) closed form solution this paper is one of the first to apply it to the macro-management of agricultural risks.
机译:目的-本文的目的是概述针对肯尼亚的多种触发干旱风险的o灾难性债券(CAT)的估值定价公式。设计/方法/方法-围绕多种触发因素设计估值模型墨西哥巨灾债券,但估值模型基于Jarrow(2010)封闭式CAT债券定价模型。作者概述了模型的结构,降雨触发的多个部分,并使用蒙特卡洛方法对模型进行了仿真。数据输入是根据肯尼亚Moyale地区的历史降雨数据以及当时的伦敦银行同业拆借利率和利率以及常规息票综合得出的。发现-作者使用蒙特卡洛技术计算了估值模型。作者发现,在各种参数设置下,包括触发水平,启动后的时间,回收率,息票息差和零息票曲线,定价方法是可靠且一致的。例如,触发率越高,所发行债券的价格就越低。回收率达到50%时,高触发价发行的CAT债券约为702美元,低触发价发行的是976美元,但估值随参数而变化。实际意义-据作者所知,多次触发CAT债券的使用非常有限在实践中。本文概述的估值公式和方法说明了如何有效设计CAT债券以应对发展中的农业经济体中CAT的协变量。原始数据/价值-本文研究了CAT债券以研究肯尼亚的多触发降雨风险。本文展示了如何设计CAT债券以满足特定和CAT风险。本文使用Jarrow(2010)的封闭式解决方案,是将其应用于农业风险宏观管理的首批论文之一。

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