Development of the Black–Scholes Model for Determining Insurance Premiums to Mitigate the Risk of Disaster Losses Using the Principles of Mutual Cooperation and Regional Economic Growth

IF 2 Q2 BUSINESS, FINANCE Risks Pub Date : 2024-07-03 DOI:10.3390/risks12070110
Titi Purwandari, Yuyun Hidayat, Sukono, Kalfin, Riza Andrian Ibrahim, Subiyanto
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Abstract

The frequency and economic damage of natural disasters have increased globally over the last two decades due to climate change. This increase has an impact on the disaster insurance field, particularly in the calculation of premiums. Many regions have a shortcoming in employing insurance because the premium is too high compared with their budget allocation. As one of the solutions, the premium calculation can be developed by applying the cross-subsidies mechanism based on economic growth. Therefore, this research aims to develop premium models of natural disaster insurance that uniquely involve two new variables of an insured region: cross-subsidies and the economic growth rate. Another novelty is the development of the Black–Scholes model, considering the two new variables, and it is used to formulate the premium model. Following the modeling process, this study uses the model to estimate the premiums for natural disaster insurance in each province of Indonesia. The estimation results show that all new variables involved in the model novelties significantly affect the premiums. This research can be used by insurance companies to determine the premium of natural disaster insurance, which involves cross-subsidies and economic growth.
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利用相互合作和地区经济增长原则开发用于厘定减轻灾害损失风险的保险费的布莱克-斯科尔斯(Black-Scholes)模型
在过去二十年里,由于气候变化,全球自然灾害的发生频率和经济损失都有所增加。这种增长对灾害保险领域产生了影响,特别是在保险费的计算方面。许多地区在采用保险方面存在不足,因为与预算拨款相比,保费过高。作为解决方案之一,可以通过应用基于经济增长的交叉补贴机制来制定保费计算方法。因此,本研究旨在开发自然灾害保险的保费模型,该模型独特地涉及投保地区的两个新变量:交叉补贴和经济增长率。另一个新颖之处在于,考虑到这两个新变量,建立了 Black-Scholes 模型,并将其用于制定保费模型。根据建模过程,本研究使用该模型估算了印度尼西亚各省的自然灾害保险保费。估算结果表明,模型中涉及的所有新变量对保费都有显著影响。这项研究可供保险公司用于确定自然灾害保险的保费,其中涉及交叉补贴和经济增长。
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来源期刊
Risks
Risks Economics, Econometrics and Finance-Economics, Econometrics and Finance (miscellaneous)
CiteScore
3.80
自引率
22.70%
发文量
205
审稿时长
11 weeks
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