Modeling motor insurance claim reserves in Ghana using Bornhuetter Ferguson and Ination adjusted chain ladder.
| dc.contributor.author | Owusu-Sekyere, Paul | |
| dc.date.accessioned | 2016-10-12T10:07:41Z | |
| dc.date.accessioned | 2023-04-19T14:06:17Z | |
| dc.date.available | 2016-10-12T10:07:41Z | |
| dc.date.available | 2023-04-19T14:06:17Z | |
| dc.date.issued | September, 2015 | |
| dc.description | A thesis submitted to The Department of Mathematics, Kwame Nkrumah University of Science and Technology in partial fulfillment of the requirements for the degree of Msc Actuarial Science. | en_US |
| dc.description.abstract | Claims reserving for general insurance business especially motor (auto or car) insurance is critically important. The in ux and proliferation of insurance com- panies have made claim reserving more intricate coupled with the risk underwrit- ing processes. This research aims at modeling motor claim reserves in Ghana using in ation adjusted chain ladder and Bornhuetter Ferguson method. Motor insurance data used for our analysis ranges from January 2009 to December 2014. The analysis highlighted on estimating the next year (2015) outstanding liabil- ity and the total future outstanding liabilities. In this study, we found out that Bornhuetter Ferguson had a better reserve estimate than that of the in ation Adjusted Chain Ladder due to its expected loss ratio and chi test value. | en_US |
| dc.description.sponsorship | KNUST | en_US |
| dc.identifier.uri | https://ir.knust.edu.gh/handle/123456789/9200 | |
| dc.language.iso | en | en_US |
| dc.title | Modeling motor insurance claim reserves in Ghana using Bornhuetter Ferguson and Ination adjusted chain ladder. | en_US |
| dc.type | Thesis | en_US |
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