基于降雨指数的农业保险保费价格的Black-Scholes模型确定

Agung Prabowo, None Diah Paramita Amitarwati, None Supriyanto, None Agus Sugandha, None Slamet Riyadi
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引用次数: 0

摘要

本文讨论了利用欧式看跌期权公式计算基于降雨指数的农业保险保费价格。本研究中使用的数据是Banjarnegara Regency 2014年至2019年的降雨量和水稻产量数据,以季度形式排列。本研究是通过文献研究和网上二手资料检索来完成的。从研究结果来看,相关性较强的降雨数据是第10个月(10月)的降雨,因此使用10月的降雨数据作为降雨指数。从计算结果来看,在第5个百分位数处,10月降雨量为2.2 mm。对于这次降雨,如果使用上次降雨(2.2毫米)的触发数据,则获得的溢价为2,515,549.00印尼盾。当用作参考时,平均总降雨量(9.92 mm)获得了562,664.00印尼盾的溢价。这些结果表明,参考文献的选择给出了非常不同的结果。计算结果还表明,高百分位数和低百分位数对Banjarnegara县农业保险保费价格有影响。百分位值越高,降雨越多,溢价也就越高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of Agricultural Insurance Premium Prices Based on Rainfall Index with the Black-Scholes Model
This article discusses the use of the European put option formula to calculate agricultural insurance premium prices based on the rainfall index. The data used in this study is data on rainfall and rice production in Banjarnegara Regency from 2014 to 2019 which are arranged in quarterly form. The research was completed by literature study and online secondary data searching. From the results of the research, rainfall data that has a strong correlation is rainfall in the tenth month (October) so that rainfall data on October is used as a rainfall index. From the calculation results, at the 5th percentile, the October rainfall is 2.2 mm. For this rainfall, a premium price of IDR 2,515,549.00 is obtained, if the trigger data for the last rainfall (2.2 mm) is used. When used as a reference, the average overall rainfall data (9.92 mm) obtained a premium of IDR 562,664.00. These results show that the selection of references gives very different results. The calculation results also show that the high and low percentiles affect the price of agricultural insurance premiums in Banjarnegara Regency. The higher the percentile value, the more rainfall will increase, and the premium price will increase.
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