Dokument: Pricing German health insurance products with only few insured persons
| Titel: | Pricing German health insurance products with only few insured persons | |||||||
| URL für Lesezeichen: | https://docserv.uni-duesseldorf.de/servlets/DocumentServlet?id=71925 | |||||||
| URN (NBN): | urn:nbn:de:hbz:061-20260116-125439-1 | |||||||
| Kollektion: | Publikationen | |||||||
| Sprache: | Englisch | |||||||
| Dokumententyp: | Wissenschaftliche Texte » Artikel, Aufsatz | |||||||
| Medientyp: | Text | |||||||
| Autor: | Piontkowski, Jens [Autor] | |||||||
| Dateien: |
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| Stichwörter: | Pricing , Short term forecasting , Premium adjustment , German health insurance , Bayesian model | |||||||
| Beschreibung: | If a health insurance product has only few insured, its claims experience becomes very volatile and is therefore not reliable enough as the only source for repricing the product. Traditionally, a similar product with many insured is used as a reference. However, legislative changes and market forces have led to a fragmentation of products. As a result, such a reference product with many insured is often no longer available. Here we propose a statistical model that combines the data of several products with few insured to derive a common relative claim inflation as well as the expected claims of these products in the future, thus enabling stable pricing for these products. The model was designed so that the usual premium adjustment process is changed as little as possible, making it easy to use in practice. | |||||||
| Rechtliche Vermerke: | Originalveröffentlichung:
Piontkowski, J. (2025). Pricing German health insurance products with only few insured persons. European Actuarial Journal, 15(3), 831–857. https://doi.org/10.1007/s13385-025-00427-6 | |||||||
| Lizenz: | ![]() Dieses Werk ist lizenziert unter einer Creative Commons Namensnennung 4.0 International Lizenz | |||||||
| Fachbereich / Einrichtung: | Mathematisch- Naturwissenschaftliche Fakultät | |||||||
| Dokument erstellt am: | 16.01.2026 | |||||||
| Dateien geändert am: | 16.01.2026 |

