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Milijana Novovic Burić

Biographic Data

ID5970722
NAMEMilijana Novovic Burić
GIVEN NAMESMilijana Novovic
FAMILY NAMEBurić
SIGNATUREBURIĆ M N
AFFILIATIONSUniversity of Montenegro
ORCID0000-0001-7671-6468
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2022
H-INDEX0
  • Relationship Between Insurance Market and Economic Growth in the European Union

    Open Access•Mirela Mitrasević, Miloš Pjanić et al.•ARTICLE•Politická ekonomie•2022•References: 27

    This paper examines the relationship between insurance market development and economic growth in EU member states in the period 1998-2018. Our results indicate that there is no causality between premium per capita and GDP per capita growth in the case of 11 out of the 23 analysed countries, including four countries classified as emerging markets. However, in the case of panel data covering all the countries, we determined a two-way causality betw…

  • A nonparametric data mining approach for risk prediction in car insurance

    Open Access•Vladimir Kašćelan, Ljiljana Kašćelan et al.•ARTICLE•Economic Research-Ekonomska…•2016

    For prediction of risk in car insurance we used the nonparametric data mining techniques such as clustering, support vector regression (SVR) and kernel logistic regression (KLR). The goal of these techniques is to classify risk and predict claim size based on data, thus helping the insurer to assess the risk and calculate actual premiums. We proved that used data mining techniques can predict claim sizes and their occurrence, based on the case st…

No prominent works on this page.

  • A nonparametric data mining approach for risk prediction in car insurance

    Open Access•Vladimir Kašćelan, Ljiljana Kašćelan et al.•ARTICLE•Economic Research-Ekonomska…•2016

    For prediction of risk in car insurance we used the nonparametric data mining techniques such as clustering, support vector regression (SVR) and kernel logistic regression (KLR). The goal of these techniques is to classify risk and predict claim size based on data, thus helping the insurer to assess the risk and calculate actual premiums. We proved that used data mining techniques can predict claim sizes and their occurrence, based on the case st…

  • Relationship Between Insurance Market and Economic Growth in the European Union

    Open Access•Mirela Mitrasević, Miloš Pjanić et al.•ARTICLE•Politická ekonomie•2022•References: 27

    This paper examines the relationship between insurance market development and economic growth in EU member states in the period 1998-2018. Our results indicate that there is no causality between premium per capita and GDP per capita growth in the case of 11 out of the 23 analysed countries, including four countries classified as emerging markets. However, in the case of panel data covering all the countries, we determined a two-way causality betw…

Econometrics (2 works) · Economics (2 works) · Insurance and Financial Risk Management (2 works) · Actuarial science (1 work) · Cluster analysis (1 work) · Computer Science (1 work) · Data mining (1 work) · European union (1 work) · Finance (1 work) · Global Health Care Issues (1 work)

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