Pricing of Aquaculture Industry Microinsurance Premiums with Standard Deviation Principle Approach (Case Study: Tasikmalaya)

Anang Muhajirin, Dwi Susanti, Riaman Riaman
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Abstract

Aquaculture is a rapidly growing industry and has enormous potential to increase the income and welfare of fish farmers. The majority of aquaculture businesses in Indonesia are small-scale cultivators, low productivity and limited business accessibility. As a result, there is an aquaculture industry that does not understand the use of aquaculture-specific financial risk management tools. Therefore, an insurance instrument is needed to manage losses that occur so as to achieve financial and income benefits, namely Micro Insurance. This study aims to calculate premium prices with a standard deviation principle approach. The data used is loss data if aquaculture cultivators do not pay in accordance with the initial capital in Tasikmalaya obtained through primary data based on the results of field surveys through questionnaires. The method of analyzing the number of event data uses the Poisson distribution, while the loss data uses the Exponential distribution. Next, calculate the parameter estimation using the Maximum Likelihood Estimation method. The results of parameter estimation are used to find a collective risk model. From the calculation results in this study, a premium price of IDR  was obtained.
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采用标准偏差原则法为水产养殖业小额保险保费定价(案例研究:塔西克马拉亚)
水产养殖是一个快速增长的产业,在增加养鱼户收入和福利方面潜力巨大。印尼大多数水产养殖企业都是小规模养殖,生产率低,业务可达性有限。因此,水产养殖业不了解如何使用水产养殖业专用的金融风险管理工具。因此,需要一种保险工具来管理发生的损失,以实现财务和收入利益,即小额保险。本研究旨在利用标准偏差原理计算保费价格。所使用的数据是塔西克马拉亚水产养殖者未按照初始资本支付时的损失数据,这些数据是通过问卷调查获得的基于实地调查结果的原始数据。事件数量数据的分析方法采用泊松分布,而损失数据采用指数分布。接下来,使用最大似然估计法计算参数估计。根据参数估计的结果,找到集体风险模型。根据本研究的计算结果,得出 IDR 的溢价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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