Determination of Microinsurance Premiums in Cattle Farms Based on Protein Content Index and Milk Production Using the Black-Scholes Method

https://doi.org/10.47194/orics.v4i2.227

Authors

  • Fabiyan Rahadi Mathematics Undergraduate Program, Faculty of Mathematics and Natural Scinces, Universitas Padjadjaran, Indonesia
  • Dwi Susanti Department of Mathematics, Faculty of Mathematics and Natural Scinces, Universitas Padjadjaran, Indonesia
  • Nurfadhlina Binti Abdul Halim Faculty of Science and Technology, Universiti Sains Islam Malaysia, Bandar Baru Nilai 71800, Malaysia

Keywords:

micro insurance, insurance premiums, protein, ARIMA-GARCH, Black-Scholes

Abstract

Micro insurance is an insurance product that is intended for low-income people with features and administration that are simple, easy to obtain, economical prices and immediate settlement of compensation. Cattle business insurance is an effort to protect breeders in event of a risk of death and loss of cattle, this insurance product is a protection against worries the burden of a large premium. This study aims to calculate the premium price using the Black-Scholes method. In this study, a correlation analysis was conducted to determine the influence the protein content on cow’s milk production. Then, modelling the protein content using ARIMA-GARCH and determining the premium using the Black-Scholes method. The results showed that the protein content of milk in cow’s milk production has a positive correlation. Protein content follows the ARIMA(1,0,0)-GARCH(1) model. Based on the results of the analysis it can be concluded that the bigger protein content in milk, the higher premium that needs to paid. 

References

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Published

2023-06-10

How to Cite

Rahadi, F., Susanti, D., & Halim, N. B. A. (2023). Determination of Microinsurance Premiums in Cattle Farms Based on Protein Content Index and Milk Production Using the Black-Scholes Method. Operations Research: International Conference Series, 4(2), 72–80. https://doi.org/10.47194/orics.v4i2.227

Issue

Vol. 4 No. 2 (2023): Operations Research International Conference Series (ORICS), June 2023

Section

Articles
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