European Insurance Market Analysis: A Multivariate Clustering approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12510%2F18%3A43898943" target="_blank" >RIV/60076658:12510/18:43898943 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
European Insurance Market Analysis: A Multivariate Clustering approach
Original language description
Clustering has been proved to extract valuable information resided in complex and massive data sets. Motivated by this evidence, this paper is aimed to provide a multivariate clustering of European insurance market in terms of the insurance penetration curves of European countries. Yet, at the same time, this clustering is provided through two different cases, where the first case considers only the magnitude (size) of these curves, and the second considers only their shape. In this paper, two partitional clustering methods are utilized, k-means and Gaussian mixture model, with two distance measures, the Euclidean and Mahalanobis distance, respectively. Both clustering methods form clusters within a sample of 34 European countries observed between 2004 and 2016; that is before, during and post-financial and sovereign debt crises. The clustering solutions also reveal the extent to which the employed clustering methods and distance measures are being able to capture the distinctive properties of the original curves as depicted during the period under examination.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th International Scientific Conference INPROFORUM. Innovations, Enterprises, Regions and Management
ISBN
978-80-7394-726-2
ISSN
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e-ISSN
neuvedeno
Number of pages
7
Pages from-to
328-334
Publisher name
Jihočeská univerzita v Českých Budějovicích, Ekonomická fakulta
Place of publication
České Budějovice
Event location
České Budějovice
Event date
Nov 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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