Are systemic risk measures effective? Evidence from macroeconomic downside risk prediction
Zhihong Jian,
Haisong Lu and
Zhican Zhu
Applied Economics Letters, 2024, vol. 31, issue 18, 1820-1827
Abstract:
This paper studies the predictive power of a set of systemic risk measures for macroeconomic downside risks in China. The quantile single-index model (QSIM) is used to select and combine systemic risk measures to depict the lower tail of macroeconomy distribution. The out-of-sample results show that QSIM provides prominent and robust prediction, as it aggregates all relevant systemic risk measures information and captures parameter nonlinearity. Moreover, we uncover the risk drivers behind macroeconomic downturns using the variable selection technique. The results provide an early warning mechanism for regulators and a criterion for researchers to select systemic risk measures.
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2023.2208327 (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:apeclt:v:31:y:2024:i:18:p:1820-1827
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2023.2208327
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().