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Journal : International Journal of Mathematics, Statistics, and Computing

Pure Premium Modeling for Property Fire Insurance Using Monte Carlo Method Putri, Linda Damayanti; Firdaus, Muhammad Rayhan
International Journal of Mathematics, Statistics, and Computing Vol. 2 No. 4 (2024): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v2i4.144

Abstract

Modeling pure premium of property fire insurance is an important aspect for insurance companies in managing risk. This article discusses the Monte Carlo method in modeling pure premium of property fire insurance. The Monte Carlo method is used to simulate various scenarios and loss factors due to property fire. Monte Carlo simulation offers an effective approach to modeling property fire risk. The results of this study are expected to provide an overview of the modeling of pure premium of property fire insurance and assist insurance companies in decision making and determining optimal premium prices.
Calculation of Value at Risk of Property Fire Losses in West Jakarta with the Extreme Value Theory Method Putri, Linda Damayanti
International Journal of Mathematics, Statistics, and Computing Vol. 3 No. 1 (2025): International Journal of Mathematics, Statistics, and Computing
Publisher : Communication In Research And Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijmsc.v3i1.180

Abstract

Property fires are an inevitable disaster, but their impact can be minimized through proper risk management. In urban areas such as West Jakarta, with high population density and economic activity, fires often cause losses. In therange of 2014 to 2023, the peak of the loss occurred in 2019 of IDR 103,354,500,000. Soto avoid unwanted things, it is necessary to calculate the losses that may occur. The Extreme Value Theory (EVT) method is used in this study to analyze the risk of extreme losses. Using Peaks Over Threshold (POT), the estimated value at Risk (VaR) shows a maximum loss of IDR 86,245,771,176 (95% confidence level) and IDR 255,535,153,859 (99% confidence level). These results help manage fire insurance risks to reduce future economic impacts.