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The European Insurance Industry: A PEST Analysis

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type , Preprint 16 May 2017 English Publisher:MDPI AGJournal:International Journal of Financial Studies, volume 5, page 14 (eissn: 2227-7072, Copyright policy )
Authors: Charmaine Barbara; Dominic Cortis; Roberta Perotti; Claudia Sammut; Antoine Vella;

doi: 10.3390/ijfs5020014 , 10.20944/preprints201705.0125.v1

handle: 10419/195764

The European Insurance Industry: A PEST Analysis

Abstract

The insurance industry plays an important role for European economic stability and the threats and opportunities it faces should be carefully determined. In this paper we highlight the main challenges by using a Political, Economic, Social and Technological (PEST) analysis. This work applies conventional actuarial thought on this area by focusing strictly on the European sector.

Related Organizations
Keywords

ddc:330, finance, PEST, challenges, O16, economy, HG1-9999, G10, G22, European Union, political, risks, Finance, insurance

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    selected citations
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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Average
Green
gold