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Wyświetlanie 1-2 z 2
Tytuł:
A dynamic MST-deltaCoVaR model of systemic risk in the European insurance sector
Autorzy:
Denkowska, Anna
Wanat, Stanisław
Powiązania:
https://bibliotekanauki.pl/articles/1054560.pdf
Data publikacji:
2021-06-04
Wydawca:
Główny Urząd Statystyczny
Tematy:
systemic risk
minimum spanning trees
deltaCoVaR
insurance sector
Opis:
This work is a response to the EIOPA paper entitled 'Systemic risk and macroprudential policy in insurance', which asserts that in order to evaluate the potential systemic risk (SR), the build-up of risk, especially risk arising over time, should be taken into account, as well as the interlinkages occurring in the financial sector and the whole economy. The topological indices of minimum spanning trees (MST) and the deltaCoVaR measure are the main tools used to analyse the systemic risk dynamics in the European insurance sector in the years 2005-2019. The article analyses the contribution of each of the 28 largest European insurance companies, including those appearing on the G-SIIs list, to systemic risk. Moreover, the paper aims to determine whether the most important contribution to systemic risk is made by companies with the highest betweenness centrality or the highest degree in the obtained MST.
Źródło:
Statistics in Transition new series; 2021, 22, 2; 173-188
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
In Search of Hedges and Safe Havens in Global Financial Markets
Autorzy:
Wanat, Stanisław
Śmiech, Sławomir
Papież, Monika
Powiązania:
https://bibliotekanauki.pl/articles/465669.pdf
Data publikacji:
2016
Wydawca:
Główny Urząd Statystyczny
Tematy:
market regimes
clustering methods
copula
DCC-GARCH
Opis:
The aim of the paper is to search for hedges and safe havens within three instrument classes: assets (represented by the S&P500 index), gold and oil prices, and dollar exchange rates. Weekly series of returns of all the instruments from the period January 1995 – June 2015 are analysed. The study is based on conditional correlations between the instruments in different market regimes obtained with the use of copula-DCC GARCH models. It is assumed that different market regimes will be identified by statistical clustering techniques; however, only conditional variances (without conditional covariances) will be taken into account. The reason for this assumption is connected with the fact that variances can be understood as market risk, and, as such, are a good indicator of market conditions. A considerable advantage of such an approach is the lack of need to determine the number of market regimes, as it is established by clustering quality measures. What is more, the methodology used in the paper makes it possible to treat the relations between instruments symmetrically. The results obtained in the study reveal that only dollar exchange rates can be treated as a (strong) hedge and a (strong) safe haven for other instruments, while gold and oil are a hedge for assets.
Źródło:
Statistics in Transition new series; 2016, 17, 3; 557-574
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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