EconPapers    
Economics at your fingertips  
 

A time-varying copula approach for constructing a daily financial systemic stress index

Sook Rei Tan, Changtai Li and Xiu Wei Yeap

The North American Journal of Economics and Finance, 2022, vol. 63, issue C

Abstract: 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.

Keywords: Financial stress index; Copula; Time-varying dependence; Systemic stress; Financial crisis (search for similar items in EconPapers)
JEL-codes: C43 C58 G01 G10 G20 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1062940822001565
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:ecofin:v:63:y:2022:i:c:s1062940822001565

DOI: 10.1016/j.najef.2022.101821

Access Statistics for this article

The North American Journal of Economics and Finance is currently edited by Hamid Beladi

More articles in The North American Journal of Economics and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:ecofin:v:63:y:2022:i:c:s1062940822001565