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Linkages and systemic risk in the European insurance sector: Some new evidence based on dynamic spanning trees

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  • Anna Denkowska
  • Stanis{l}aw Wanat

Abstract

This paper is part of the research on the interlinkages between insurers and their contribution to systemic risk on the insurance market. Its main purpose is to present the results of the analysis of linkage dynamics and systemic risk in the European insurance sector which are obtained using correlation networks. These networks are based on dynamic dependence structures modelled using a copula. Then, we determine minimum spanning trees (MST). Finally, the linkage dynamics is described by means of selected topological network measures.

Suggested Citation

  • Anna Denkowska & Stanis{l}aw Wanat, 2019. "Linkages and systemic risk in the European insurance sector: Some new evidence based on dynamic spanning trees," Papers 1908.01142, arXiv.org, revised Aug 2019.
    • Handle: RePEc:arx:papers:1908.01142
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    References listed on IDEAS

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    Cited by:

    1. Anna Denkowska & Stanis{l}aw Wanat, 2019. "A Dynamic MST- deltaCovar Model Of Systemic Risk In The European Insurance Sector," Papers 1912.05641, arXiv.org.
    2. Denkowska Anna & Wanat Stanisław, 2021. "A dynamic MST-deltaCoVaR model of systemic risk in the European insurance sector," Statistics in Transition New Series, Polish Statistical Association, vol. 22(2), pages 173-188, June.
    3. Anna Denkowska & Stanisław Wanat, 2021. "A dynamic MST-deltaCoVaR model of systemic risk in the European insurance sector," Statistics in Transition New Series, Polish Statistical Association, vol. 22(2), pages 173-188, June.
    4. Anna Denkowska & Stanisław Wanat, 2020. "A Tail Dependence-Based MST and Their Topological Indicators in Modeling Systemic Risk in the European Insurance Sector," Risks, MDPI, vol. 8(2), pages 1-22, April.

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