Mathematics and Modeling in Finance (Dec 2023)

Cross-sectional estimation of loss reserve for cargo insurance market: the case of cargo insurance in Iran

  • Parissa Ghonji,
  • Ghadir Mahdavi,
  • Mitra Ghanbarzadeh

DOI
https://doi.org/10.22054/jmmf.2024.76913.1110
Journal volume & issue
Vol. 3, no. 2
pp. 161 – 176

Abstract

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Insurance companies regularly estimate loss reserves due to delays in settling claims. These delays depend on the time taken from claim filing to settlement. The study aims to estimate reported loss reserves through cross-sectional regression using cargo insurance market data. The model considers written premiums, paid claims, reinsurance issued premiums, inflation rates, and return on investment. The analysis demonstrates a nonsignificant negative association between inflation rates and loss reserves, as well as a negative correlation between paid claims and loss. While revealing a statistically significant positive relationship between written premiums and loss reserves.

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