State-space modeling of claims reserves in non-life insurance
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10468012" target="_blank" >RIV/00216208:11320/21:10468012 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
State-space modeling of claims reserves in non-life insurance
Popis výsledku v původním jazyce
One of the fundamental activities of insurance companies is the calculation of technical reserves. The available data are usually considered in the form of run-off triangles. Prediction of unknown values, which are the basis for the calculation of reserves, can be constructed not only using simple approaches such as chain-ladder, but also using advanced methods such as state-space modeling. This paper focuses on the construction of Kalman projections of the values in dependent run-off triangles, which can be considered in the form of a time series with missing observations. Since the quantiles, currently the preferred risk measure, or even the whole distribution of the reserves are highly important, their estimation using smoothed bootstrap is also the content of this work. The proposed methods are applied to real data consisting of two dependent run-off triangles in order to verify their applicability in practice. The obtained results are compared to the ones obtained by other procedures.
Název v anglickém jazyce
State-space modeling of claims reserves in non-life insurance
Popis výsledku anglicky
One of the fundamental activities of insurance companies is the calculation of technical reserves. The available data are usually considered in the form of run-off triangles. Prediction of unknown values, which are the basis for the calculation of reserves, can be constructed not only using simple approaches such as chain-ladder, but also using advanced methods such as state-space modeling. This paper focuses on the construction of Kalman projections of the values in dependent run-off triangles, which can be considered in the form of a time series with missing observations. Since the quantiles, currently the preferred risk measure, or even the whole distribution of the reserves are highly important, their estimation using smoothed bootstrap is also the content of this work. The proposed methods are applied to real data consisting of two dependent run-off triangles in order to verify their applicability in practice. The obtained results are compared to the ones obtained by other procedures.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
10103 - Statistics and probability
Návaznosti výsledku
Projekt
<a href="/cs/project/GX19-28231X" target="_blank" >GX19-28231X: Dynamické modely pro digitální finance</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
39TH INTERNATIONAL CONFERENCE ON MATHEMATICAL METHODS IN ECONOMICS (MME 2021)
ISBN
978-80-213-3126-6
ISSN
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e-ISSN
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Počet stran výsledku
6
Strana od-do
511-516
Název nakladatele
Czech Univ Life Sciences Prague
Místo vydání
Prague 6
Místo konání akce
Prague
Datum konání akce
8. 9. 2021
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
000936369700085