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Cross-sectional estimation of loss reserve for cargo insurance market: the case of cargo insurance in Iran | ||
| Journal of Mathematics and Modeling in Finance | ||
| دوره 3، شماره 2، اسفند 2023، صفحه 161-176 اصل مقاله (300.15 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22054/jmmf.2024.76913.1110 | ||
| نویسندگان | ||
| Parissa Ghonji* 1؛ Ghadir Mahdavi2؛ Mitra Ghanbarzadeh3 | ||
| 1Department of Actuarial Science and Insurance Planning, ECO College of Insurance, Allameh Tabatabai University, Tehran, Iran | ||
| 2Department of Actuarial Science and Insurance Planning, ECO college of Insurance, Tehran, Iran | ||
| 3Insurance Research Center, Tehran, Iran | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Loss Reserve؛ Cargo Insurance؛ General Insurance؛ Premium؛ Regression Analysis | ||
| مراجع | ||
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