Tytuł:

Alternative Approach for Fast Estimation of Life Insurance Liabilities

Tytuł publikacji grupowej:

20-th AMSE. Applications of Mathematics and Statistics in Economics. International Scientific Conference: Szklarska Poręba, 30 August- 3 September 2017. Conference Proceedings Full Text Papers

Autor:

Fojtík, Jan ; Procházka, Jiří ; Zimmermann, Pavel ; Macková, Simona ; Švehláková, Markéta

Temat i słowa kluczowe:

life insurance ; estimation of BEL ; cluster analysis

Opis:

20-th AMSE. Applications of Mathematics and Statistics in Economics. International Scientific Conference: Szklarska Poręba, 30 August- 3 September 2017. Conference Proceedings Full Text Papers, s. 145-154

Abstrakt:

Estimation of future liabilities is one of the essential actuarial tasks. With the huge client portfolios nowadays, not only the accuracy of liability estimates is of great importance but also the time within which the results are calculated. Especially in the case of estimates of life insurance liability, the computing time can be very high, because the estimation is based on a projection of future cash flow of each contract separately. Therefore, methods to reduce computation time while as do not significantly decrease accuracy are welcomed by many actuaries. Cluster analysis can be applied for this purpose. Basic idea is to split contracts into clusters and represent all contracts within the cluster by a specific contract, so called model point. Projection is only calculated for these model points and weights are assigned to reflect the number of contracts of the cluster. The main contribution of this paper consists in the analysis of clustering variables in the case of approximate life insurance liability model

Wydawca:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Miejsce wydania:

Wrocław

Data wydania:

2017

Typ zasobu:

materiały konferencyjne

Format:

application/pdf

Identyfikator zasobu:

doi:10.15611/amse.2017.20.11

Język:

eng

Powiązania:

20-th AMSE. Applications of Mathematics and Statistics in Economics. International Scientific Conference: Szklarska Poręba, 30 August- 3 September 2017. Conference Proceedings Full Text Papers

Prawa:

Wszystkie prawa zastrzeżone (Copyright)

Prawa dostępu:

Dla wszystkich w zakresie dozwolonego użytku

Lokalizacja oryginału:

Uniwersytet Ekonomiczny we Wrocławiu