Natural Catastrophe Models for Insurance Risk Management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F19%3A39914046" target="_blank" >RIV/00216275:25410/19:39914046 - isvavai.cz</a>
Result on the web
<a href="http://www.wseas.org/multimedia/journals/economics/2019/a035107-699.pdf" target="_blank" >http://www.wseas.org/multimedia/journals/economics/2019/a035107-699.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Natural Catastrophe Models for Insurance Risk Management
Original language description
Catastrophic events are characterized by three main points: there are relatively rareness, there are statistical unexpected and there have huge impact on the whole society. Insurance or reinsurance is one way of reducing the economic consequences of catastrophic events. Risk management of insurance and reinsurance companies have to have available relevant information for estimation and adjusting premium to cover these risks. The aim of this article is to present two of the useful methods – block maxima method and peaks over threshold method. These methods use information from historical data about insured losses of natural catastrophes and estimates future insured losses. These estimates are very important for actuaries and for risk managers as one of the bases for calculating and adjusting premiums of products covering these types of risks.
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
2019
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
16
Issue of the periodical within the volume
1
Country of publishing house
GR - GREECE
Number of pages
9
Pages from-to
9-17
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85063537344