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Connectedness of financial institutions in Europe: A network approach across quantiles

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14560%2F20%3A00115596" target="_blank" >RIV/00216224:14560/20:00115596 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0378437119322320" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0378437119322320</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.physa.2019.124035" target="_blank" >10.1016/j.physa.2019.124035</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Connectedness of financial institutions in Europe: A network approach across quantiles

  • Original language description

    We create cross-quantilogram networks capturing the dependence between stock market returns of 205 financial institutions in Europe and across a large range of quantiles. Based on network density, centrality and centralization, we find that financial institutions in Europe are strongly interconnected across all quantiles, particularly during tranquil periods. These results suggest that financial institutions in Europe are susceptible to spillover, contagion and increased systemic risk. We also find an asymmetric effect: connectedness during crisis periods is higher than that during bullish periods. The most interconnected financial institutions are found to be insurance companies in Switzerland. Relying on an exponential random graph modeling (ERGM) approach, we find that across all quantiles, the connectedness is larger between (i) financial institutions in the same country, (ii) insurance companies, and (iii) financial institutions that operate in countries that adopted the common currency.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Physica A: Statistical Mechanics and its Applications

  • ISSN

    0378-4371

  • e-ISSN

  • Volume of the periodical

    550

  • Issue of the periodical within the volume

    15 July 2020

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    124035

  • UT code for WoS article

    000528310200037

  • EID of the result in the Scopus database

    2-s2.0-85077733119