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Efficient simulation using saddlepoint approximation for aggregate losses with large frequencies

Authors
Cho, Jae-RinHa, Hyung-Tae
Issue Date
Jan-2016
Publisher
KOREAN STATISTICAL SOC
Keywords
large claim frequency; aggregate claim amount; saddlepoint approximation; simulation
Citation
COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS, v.23, no.1, pp.85 - 91
Journal Title
COMMUNICATIONS FOR STATISTICAL APPLICATIONS AND METHODS
Volume
23
Number
1
Start Page
85
End Page
91
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/8752
DOI
10.5351/CSAM.2016.23.1.085
ISSN
2287-7843
Abstract
Aggregate claim amounts with a large claim frequency represent a major concern to automobile insurance companies. In this paper, we show that a new hybrid method to combine the analytical saddlepoint approximation and Monte Carlo simulation can be an efficient computational method. We provide numerical comparisons between the hybrid method and the usual Monte Carlo simulation.
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Social Sciences (Department of Applied Statistics)
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