A time-varying copula approach for constructing a daily financial systemic stress index
Journal Publication ResearchOnline@JCUAbstract
This paper develops a financial systemic stress index (FSSI) for the US financial market. We propose a time-varying copula method to model the dependence structure among financial sectors in order to build a correlated financial stress model that can signal systemic financial risks. The copula method is preferable to the traditional approach, enabling the modeling of non-linear correlations. Our analyses show that the dependencies across banking, security, and forex markets are best modeled by Archimedian copulas. Finally, we conduct a Markov Switching Autoregressive (MS-AR) model for FSSI and identify high financial stress episodes taking place in 2008–2009, 2011 and 2020.
Journal
North American Journal of Economics and Finance
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Volume
63
ISBN/ISSN
1879-0860
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Pages Count
20
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Publisher
Elsevier
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EISSN
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DOI
10.1016/j.najef.2022.101821