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A comparison of methods for modelling rates of withdrawal from insurance contracts
Includes abstract.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
School of Management Studies
2014
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| _version_ | 1867613327805382656 |
|---|---|
| access_status_str | Open Access |
| author | Smith, Bradley |
| author2 | MacDonald, lain |
| author_browse | MacDonald, lain Smith, Bradley |
| author_facet | MacDonald, lain Smith, Bradley |
| author_sort | Smith, Bradley |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5872 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:23.309Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | School of Management Studies |
| publisherStr | School of Management Studies |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/5872 A comparison of methods for modelling rates of withdrawal from insurance contracts Smith, Bradley MacDonald, lain Zoology and Marine Biology Includes abstract. Includes bibliographical references (p. 39-41). Withdrawal from insurance contracts can be a significant risk for insurers. Withdrawal rates can be difficult to predict because withdrawal is influenced by a number of inter-related factors related to, inter alia, the sales process, characteristics of the insurance contract, characteristics of the contract holder, and economic variables. Existing methods used to model and predict withdrawal rates are initially reviewed. Two additional methods which have been proposed in the literature as means for modelling insurance risks are neural networks and Bayesian networks. These two methods are utilised in order to build models to compare their predictive ability with a commonly used method for modelling withdrawal rates, namely logistic regression. 2014-07-31T12:36:43Z 2014-07-31T12:36:43Z 2009 Master Thesis Masters MBusSc http://hdl.handle.net/11427/5872 eng application/pdf School of Management Studies Faculty of Commerce University of Cape Town |
| spellingShingle | Zoology and Marine Biology Smith, Bradley A comparison of methods for modelling rates of withdrawal from insurance contracts |
| thesis_degree_str | Master's |
| title | A comparison of methods for modelling rates of withdrawal from insurance contracts |
| title_full | A comparison of methods for modelling rates of withdrawal from insurance contracts |
| title_fullStr | A comparison of methods for modelling rates of withdrawal from insurance contracts |
| title_full_unstemmed | A comparison of methods for modelling rates of withdrawal from insurance contracts |
| title_short | A comparison of methods for modelling rates of withdrawal from insurance contracts |
| title_sort | comparison of methods for modelling rates of withdrawal from insurance contracts |
| topic | Zoology and Marine Biology |
| url | http://hdl.handle.net/11427/5872 |
| work_keys_str_mv | AT smithbradley acomparisonofmethodsformodellingratesofwithdrawalfrominsurancecontracts AT smithbradley comparisonofmethodsformodellingratesofwithdrawalfrominsurancecontracts |