2015
DOI: 10.2139/ssrn.2617946
|View full text |Cite
|
Sign up to set email alerts
|

The Network Structure and Systemic Risk in the Global Non-Life Insurance Market

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
12
0

Year Published

2015
2015
2020
2020

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 9 publications
(12 citation statements)
references
References 31 publications
0
12
0
Order By: Relevance
“…A growing literature uses network theory to model linkages among financial institutions. The banking system has been most extensively analyzed (European Central Bank, ; Hasman, ; Minoiu and Reyes, ), and the literature has expanded to other financial markets, such as credit default swaps (CDS) (Markose, Giansante, and Shaghaghi, ; Getmansky, Girardi, and Lewis, ) and global insurance markets (Billio et al, ; Kanno, ).…”
Section: Related Prior Literaturementioning
confidence: 99%
See 1 more Smart Citation
“…A growing literature uses network theory to model linkages among financial institutions. The banking system has been most extensively analyzed (European Central Bank, ; Hasman, ; Minoiu and Reyes, ), and the literature has expanded to other financial markets, such as credit default swaps (CDS) (Markose, Giansante, and Shaghaghi, ; Getmansky, Girardi, and Lewis, ) and global insurance markets (Billio et al, ; Kanno, ).…”
Section: Related Prior Literaturementioning
confidence: 99%
“…Kanno () uses network analysis to analyze systemic risk in the global nonlife insurance market from 2006 to 2013. Using data from the ISIS insurance database compiled by Bureau van Dijk, he finds systemic risk in the global nonlife market to be minimal.…”
Section: Related Prior Literaturementioning
confidence: 99%
“…There are relatively few studies of insurers that analyze consolidated data. Examples are Napompech, Kroll, and Shelor (2002) who measure agency costs associated with a mutual insurer converting to stock; Born, Giaccotto and Ritsatos (2004) who examine the value created by stock repurchases of insurance firms; Shortridge and Avila (2004) who examine the impact of an insurer's institutional ownership on its use of reinsurance; Kanno (2016) who examines the structure of intercompany networks across the global insurance industry; and Scordis (2019) who identifies value drivers for PC insurance firms. It is proper, then, to consider what data one should use since what data are appropriate depends on what hypotheses one wishes to investigate within the risk‐value dynamic of an insurer.…”
Section: A Shift In Viewpointmentioning
confidence: 99%
“…Such pricing cascade evolves because a successful reinsurance placement requires cooperation among several risk bearers in order to establish price, coverage tranches and tranche seniority. In fact, the analysis of Kanno (2016) suggests that there is a stable network that interconnects insurers around the globe. Kanno (2016), who uses consolidated data, finds that a handful of reinsurers interconnect the industry through their linkages to primary insurers and to each other.…”
Section: Ceded Reinsurance Examplementioning
confidence: 99%
See 1 more Smart Citation