Determination and Verification of the Key Assessment Indicators for the Insurance Market by Applying the Decomposition Multi - attribute Methods and Regression Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F18%3A10239984" target="_blank" >RIV/61989100:27510/18:10239984 - isvavai.cz</a>

Result on the web

<a href="https://is.muni.cz/do/econ/sborniky/2018/" target="_blank" >https://is.muni.cz/do/econ/sborniky/2018/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Determination and Verification of the Key Assessment Indicators for the Insurance Market by Applying the Decomposition Multi - attribute Methods and Regression Analysis

Original language description

The insurance industry is one of the most important sectors of the economy. The insurance market is very much intertwined in the financial markets, therefore assessment of its level is important. The assessment and analysis of the insurance market is done by using selected indicators. The aim of the article is determination and verification of the key assessment indicators for the insurance market by applying the decomposition multi-attribute methods and regression analysis. This paper is focused on the description, verification and application of the multi-attribute decomposition methods AHP and ANP based on the Saaty pair comparison approach. The AHP and ANP methods are described, including the computation procedure. The applicability of the methods is presented at the preferences determination. The linear AHP and nonlinear ANP methods are applied. These methods are applied for insurance market assessment, particularly, for determination of preference indicators for the assessment of the insurance market. We consider importance of setting the ratio for evaluation indicators of the development of the insurance market by applying Saaty methods in the framework of decomposition methods AHP and ANP (insurance penetration ratio, claims frequency ratio, concentration ratio, premium indicator, benefit indicator, number of insurance company indicator and more). Subsequently, a custom regression model is created.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50206 - Finance

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

European Financial Systems 2018 : proceedings of the 15th international scientific conference : June 25-26, 2018, Brno, Czech Republic

ISBN

978-80-210-8980-8

ISSN

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e-ISSN

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Number of pages

9

Pages from-to

44-52

Publisher name

Masarykova univerzita

Place of publication

Brno

Event location

Brno

Event date

Jun 25, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000462948800005