Revisiting systemic risk during political shocks and its impact on unemployment: evidence from Tunisia

Dorsaf Azouz Ghachem and Aymen Khamassi

Macroeconomics and Finance in Emerging Market Economies, 2024, vol. 17, issue 2, 356-373

Abstract: We measure the systemic risk of the Tunisian financial system around the revolution period by the use of covar method and to test its ability to predict the future unemployment rate. Our findings show that public systemic banks kept their ranks before and after revolution. Conversely, private bank classification is partially reversed between the two periods. The top five ranks remain occupied by two public banks and the three largest private ones in terms of size, capitalization, efficiency and loans’ activities. Otherwise, the global Tunisian systemic risk seems not to be able yet to predict the future unemployment rate evolution..

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/17520843.2021.2021017 (text/html)
Access to full text is restricted to subscribers.

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:taf:macfem:v:17:y:2024:i:2:p:356-373

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/REME20

DOI: 10.1080/17520843.2021.2021017

Access Statistics for this article

Macroeconomics and Finance in Emerging Market Economies is currently edited by Subrata Sarkar and Ashima Goyal

More articles in Macroeconomics and Finance in Emerging Market Economies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().