Connectedness of financial institutions in Europe: A network approach across quantiles
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Connectedness of financial institutions in Europe: A network approach across quantiles
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Connectedness of financial institutions in Europe: A network approach across quantiles
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
50206 - Finance
Návaznosti výsledku
Projekt
—
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2020
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Physica A: Statistical Mechanics and its Applications
ISSN
0378-4371
e-ISSN
—
Svazek periodika
550
Číslo periodika v rámci svazku
15 July 2020
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
13
Strana od-do
124035
Kód UT WoS článku
000528310200037
EID výsledku v databázi Scopus
2-s2.0-85077733119