Estimation of Credible Net Premiums by World Regions to Cover Catastrophe Losses
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F17%3A39902550" target="_blank" >RIV/00216275:25410/17:39902550 - isvavai.cz</a>
Result on the web
<a href="http://www.wseas.org/multimedia/journals/economics/2017/a045807-067.pdf" target="_blank" >http://www.wseas.org/multimedia/journals/economics/2017/a045807-067.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Estimation of Credible Net Premiums by World Regions to Cover Catastrophe Losses
Original language description
The number of catastrophic events and the amount of economic losses is varying in different world regions. Part of these losses is covered by insurance. Catastrophic events in last years are associated with increases in premiums for some lines of business. The aim of this article is determination of estimates of the net premiums that would be needed to cover total or insured catastrophic losses in different world regions. For these estimates Bühlmann and Bühlmann-Straub empirical credibility models based on data from Sigma Swiss Re 2010-2016 are used. The empirical credibility models have been developed to estimate credibility premium or insurance premium for short term insurance contracts using two ingredients: past data from the risk itself and collateral data from other sources considered to be relevant. In this article we deal with application of these models based on the real data about number of catastrophic events and about the total economic and insured catastrophe losses in seven regions of the world in time period 2009-2015. Our significant results of estimated credible premiums by world regions provide information about how much money in these regions will be need to cover total or insured catastrophic losses in the next year.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
WSEAS Transactions on Business and Economics
ISSN
1109-9526
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
únor
Country of publishing house
GR - GREECE
Number of pages
9
Pages from-to
13-21
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85031276673