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Hodnocení ukazatelů úrovně hospodaření pojišťoven v neživotním pojištění aplikací dekompozičních metod

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F19%3A10246609" target="_blank" >RIV/61989100:27510/19:10246609 - isvavai.cz</a>

  • Result on the web

    <a href="https://aak.slu.cz/current_issue.php" target="_blank" >https://aak.slu.cz/current_issue.php</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.25142/aak.2019.021" target="_blank" >10.25142/aak.2019.021</a>

Alternative languages

  • Result language

    čeština

  • Original language name

    PERFORMANCE INDICATORS ASSESSMENT OF INSURANCE COMPANIES IN NON-LIFE INSURANCE BY APPLYING DECOMPOSITION MULTI-CRITERIA METHODS

  • Original language description

    The aim of the article is to determine and verify the key indicators of the assessment of the level of management of non-life insurance companies by applying multi-criteria decomposition methods. The specific indicators considered include standard financial analysis indicators, specific financial indicators of insurance companies and indicators that are used to analyze the level of the insurance market. Firstly, multicriteria decomposition methods are described: analytical hierarchical process and analytical network process. Both approaches are described including the calculation procedure. Subsequently, they are applied in determining the preferences of indicators of the assessment of the level of management of insurance companies. Our results show the resulting preferences of individual indicators for assessing the level of performance of non-life insurance companies and key indicators. The most important indicators that can be described as the key indicators with a high preference are return on equity indicator, gross premiums written, return on assets, claims ratio and solvency ratio indicator.

  • Czech name

    PERFORMANCE INDICATORS ASSESSMENT OF INSURANCE COMPANIES IN NON-LIFE INSURANCE BY APPLYING DECOMPOSITION MULTI-CRITERIA METHODS

  • Czech description

    The aim of the article is to determine and verify the key indicators of the assessment of the level of management of non-life insurance companies by applying multi-criteria decomposition methods. The specific indicators considered include standard financial analysis indicators, specific financial indicators of insurance companies and indicators that are used to analyze the level of the insurance market. Firstly, multicriteria decomposition methods are described: analytical hierarchical process and analytical network process. Both approaches are described including the calculation procedure. Subsequently, they are applied in determining the preferences of indicators of the assessment of the level of management of insurance companies. Our results show the resulting preferences of individual indicators for assessing the level of performance of non-life insurance companies and key indicators. The most important indicators that can be described as the key indicators with a high preference are return on equity indicator, gross premiums written, return on assets, claims ratio and solvency ratio indicator.

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Acta academica karviniensia

  • ISSN

    1212-415X

  • e-ISSN

    2533-7610

  • Volume of the periodical

    XIX

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    CZ - CZECH REPUBLIC

  • Number of pages

    13

  • Pages from-to

    5-17

  • UT code for WoS article

  • EID of the result in the Scopus database