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Downside and upside risk spillovers from commercial banks into China’s financial system

A new copula quantile regression-based CoVaR model

Bibliographic Data

ID15068419
AuthorsMaoxi Tian (0000-0002-1938-5989, Northwest A&F University), Yong Jiang (0000-0001-6192-8206, Nanjing Audit University), Jiang Yong (0000-0001-8495-4474, Nanjing Audit University), Binyao Wang (Northwest A&F University), Yizhe Dong (0000-0001-7272-2430, University of Edinburgh Business School, Edinburgh, UK), Yingying Chen (0000-0002-8772-5228, University of Nottingham), Baofeng Shi (0000-0003-1244-5886, Northwest A&F University, corresponding author)
Year2023
Volume36
Issue1
Publication date2023-03-31
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2022.2120037
OpenAlexW4295879659
LanguageEN
References cited47

In this paper, we investigate the downside and upside risk spillovers from three kinds of commercial banks (state-owned commercial banks (SOCBs), joint-stock commercial banks (JSCBs) and city commercial banks (CCBs)) to China’s financial system by proposing a new copula quantile regression-based CoVaR model. We find that (i) the dynamic risk spillovers show heterogeneity over time, specifically that its downward trend is significant after the stock market disaster in 2015; (ii) JSCBs display the largest risk spillovers, indicating that JSCBs are the main contributors to systemic risk in China’s financial system; and (iii) the risk spillovers are not symmetrical, as the upside risk spillovers are smaller than the downside risk spillovers. Our results have crucial implications for financial regulators and investors who want to measure and prevent systemic financial risk and optimise their investment strategies

Business · China · Downside risk · Econometrics · Economics · Financial crisis · Financial economics · Financial risk · Multivariate statistics · Portfolio · Quantile · Quantile regression · Systemic risk · Tail dependence · Computer Science · Financial Risk and Volatility Modeling · Market Dynamics and Volatility · Monetary Policy and Economic Impact · Finance

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    Roger Koenker•Quantile Regression•2005

  • Measuring Systemic Risk

    Viral V Acharya, Leif Hemming Pedersen et al.•Review of Financial Studies•2017

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    Alberto Abadie•Journal of the American…•2002

  • CoVaR

    Tobias Adrian, Markus K Brunnermeier•American Economic Review•2016

  • Econometric measures of connectedness and systemic risk in the finance and insurance sectors

    Open Access•Monica Billio, Mila Getmansky et al.•Journal of Financial Economics•2012

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