Multivariate Evolutionary and Tweedie GLM Methods for Estimating Motor Vehicle Insurance Claims Reserves
Penulis/Author
MARIA STEPHANY A (1); RUTH CORNELIA N (2); ADELIA PUTRI HAPSARI (3); CARINA (4); TIARA LUTFI Z. M. A. (5); SEKAR PINESTRI (6); HOKI LIMPAH WIJAYA (7); Dr. Adhitya Ronnie Effendie, S.Si., M.Si., M.Sc. (8)
Tanggal/Date
2021
Kata Kunci/Keyword
Abstrak/Abstract
An insurance policy is a contract agreement between the policyholder and the insurance
company. For the contract agreement to run, policyholders need to pay premiums to insurance
companies. On the other hand, the insurance company must underwrite the risk if the
policyholder does submission of claims. It is necessary to estimate the reserves of claims for the
company insurance accurately to prepare several funds for settlement of claim. Generalized
Linear Model (GLM) can be used to estimate the claim values in a univariate form which only
consists of 1 LoB (Line of Business). In practice, almost every insurance company has various
types of LoB which depends on one another. Therefore, the GLM can be expanded to a
multivariate GLM which can be used to estimate the claim data with more than one LoB. The
researcher also wants to compare between an estimated reserve calculations of Swiss Re Group’s claims using the Multivariate Evolutionary GLM Adaptive Simple Method and GLM with the Tweedie Family Distribution Approach to find a more accurate method of finding claim reserves for each line of Swiss Re Group’s business data.
Rumpun Ilmu
Statistik
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
328-339_Multivariate Evolutionary and Tweedie GLM Methods for Estimating Motor Vehicle Insurance Claims Reserves.pdf
