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Review Paper

COLLECTIVE RISK MODEL IN NON-LIFE INSURANCE

Zlata Đurić

Faculty of Economics, University of Kragujevac, Kragujevac, Serbia

The operation of business insurance companies, based on assuming risks of different profiles, is accompanied by fluctuations in the business environment. The complexity of predicting a financial effect for claims in non-life insurance lies in the structure of insurers’ liabilities, whose amount cannot be determined at the time of payment of the premium. By analyzing the key insurance processes, risk theory focuses on modeling claims as the financial consequences of unforeseen events. In addition, it provides the answer as to how much of a premium to charge in order to avoid bankruptcy, which makes it a complex and topical research area. The paper presents the main results of the collective risk model for the key business processes of nonlife insurance companies: the claim number process and the claim amount process. In risk theory, these are treated as stochastic processes, which offers a wide range of possibilities for the modeling and simulation of specific business problems.

Keywords: 

non-life insurance, risk theory, stochastic process, Poisson process, premium calculation principles

JEL Classification: 

C13, C43, C46
doi:10.5937/ekonhor1302163D
Economic Horizons, 2013, 15 (2), Published online August 26th 2013

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Since October 2013, the Journal is indexed in Cabell’s Directories

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Since September 2013, the Journal is indexed in Index Copernicus Journals Master List 2012

Index Copernicus Journals Master List
ICV 2020 = 90.77

Since March 2013, the Journal has been evaluated and accepted for listing in EconLit (American Economic Association Publications)

EconLit

Since January 2013, the Journal has been included into EBSCO’s databases

EBSCO

Since November 2012, the Journal has been included into Ulrich’s Periodicals Directory 

Ulrich’s Web

Since October 2020, the Journal is referenced in SCOPUS

SCImago Journal & Country Rank

Since March 2015, the Journal is indexed in DOAJ

DOAJ

Since November 2013, the Journal is indexed in ProQuest – ABI/INFORM

ProQuest – ABI/INFORM

Since October 2013, the Journal is indexed in Cabell’s Directories

Cabell’s Directories

Since September 2013, the Journal is indexed in Index Copernicus Journals Master List 2012

Index Copernicus Journals Master List
ICV 2020 = 90.77

Since March 2013, the Journal has been evaluated and accepted for listing in EconLit (American Economic Association Publications)

EconLit

Since January 2013, the Journal has been included into EBSCO’s databases

EBSCO

Since November 2012, the Journal has been included into Ulrich’s Periodicals Directory 

Ulrich’s Web