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Calculation of Passenger Type Car Insurance Based on Frequency Data and Claim Size Wandira, Ika
International Journal of Global Operations Research Vol. 6 No. 1 (2025): International Journal of Global Operations Research (IJGOR)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i1.357

Abstract

Calculation of motor vehicle insurance risk premiums is an important aspect in the insurance industry, which functions to determine the amount of premium to be paid by the policyholder. This study aims to analyze how the calculation of risk premiums is carried out using claim frequency data and claim amounts as the main basis for determining fair premiums and in accordance with the risks faced by insurance companies. Through this calculation model, insurance companies can estimate the amount of risk faced and set proportional premiums. The data used in this study are assumption data that refer to historical claims to provide an overview of accurate and realistic premium calculations in the context of motor vehicle insurance. The results of the calculation of motor vehicle insurance risk premiums with Total Loss Only (TLO) protection are influenced by the frequency and amount of claims. Analysis of claim data for the 2015-2020 period shows an increasing trend in the average claim amount from IDR 8,000,000 to IDR 10,000,000, while the average annual premium is relatively stable at IDR 1,200,000. Risk premiums increase as the number of claims increases, so companies need to allocate sufficient funds to cover these risks. In addition, the increasing frequency of claims each year indicates a higher risk for the company
Analysis of the Effect of Cash Ratio on Corporate Bankruptcy Risk: Case Study of Manufacturing Companies Tenripada, Andi Sakinah Yan; Wandira, Ika
Operations Research: International Conference Series Vol. 6 No. 2 (2025): Operations Research International Conference Series (ORICS), June 2025
Publisher : Indonesian Operations Research Association (IORA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/orics.v6i2.349

Abstract

This study aims to explore the relationship between cash ratio and bankruptcy risk using an empirical analysis approach, and relate it to the Altman Z-score model as an indicator of financial sustainability. By analyzing the financial statement data of companies listed on the stock exchange during the period 2019-2023, this study investigates the impact of liquidity measured by cash ratio on bankruptcy potential. Regression method is used to assess the relationship, while Altman Z-score serves as a tool to measure the financial health of the company. The results show that the cash ratio contributes little to reducing the risk of bankruptcy, yet firms with higher liquidity exhibit a better Z-score. These findings highlight the importance of liquidity management as a strategy to ensure the financial sustainability of firms in the face of bankruptcy challenges.