Leverage and Systemic Risk Pro-Cyclicality in the Chinese Financial System

65 Pages Posted: 24 Sep 2021 Last revised: 25 Apr 2022

See all articles by Peter Cincinelli

Peter Cincinelli

Department of Management, University of Bergamo, Italy

Elisabetta Pellini

Centre for Econometric Analysis, Faculty of Finance, Bayes Business School (formerly Cass), London (UK)

Giovanni Urga

Centre for Econometric Analysis, Faculty of Finance, Bayes Business School (formerly Cass), London, UK

Date Written: September 20, 2021

Abstract

In this paper, we investigate the relationship between balance sheet size and leverage (i.e., leverage pro-cyclicality) and the pro-cyclicality of systemic risk using three systemic risk measures such as DCoVaR (Adrian & Brunnermeier, 2016), MES (Acharya et al., 2017), SRISK (Brownlees & Engle, 2016). We conduct an extensive panel data analysis using a sample of 264 Chinese listed Financial institutions (43 commercial banks, 74 Finance services and 147 real estate finance services) over 2005:4-2019:4. We also study the impact of different phases of the financial turmoil by considering three subperiods, the "Global Financial Crisis" (2007:1-2009:4), the "Monetary Policy Restriction" (2010:1-2014:4), and the "2015 Chinese Stock Crash" (2015:1-2019:4). We find that leverage pro-cyclicality mainly aspects CBs, in particular during the global financial crisis and the monetary policy restriction. We also find that larger financial institutions increase systemic risk, in particular commercial banks, which from 2016 started increasing shadow banking activities, and the real estate financial services with their activity closer to commercial banking.

Keywords: Leverage and systemic risk pro-cyclicality; Bank and non bank financial institutions; Panel data regression.

JEL Classification: C23, E3, G01, G15.

Suggested Citation

Cincinelli, Peter and Pellini, Elisabetta and Urga, Giovanni, Leverage and Systemic Risk Pro-Cyclicality in the Chinese Financial System (September 20, 2021). International Review of Financial Analysis, Volume 78, November 2021, Available at SSRN: https://ssrn.com/abstract=3927318 or http://dx.doi.org/10.2139/ssrn.3927318

Peter Cincinelli

Department of Management, University of Bergamo, Italy ( email )

Via dei Caniana, 2
Bergamo, 24129
Italy

Elisabetta Pellini

Centre for Econometric Analysis, Faculty of Finance, Bayes Business School (formerly Cass), London (UK) ( email )

106 Bunhill Row
London
United Kingdom

Giovanni Urga (Contact Author)

Centre for Econometric Analysis, Faculty of Finance, Bayes Business School (formerly Cass), London, UK ( email )

108 Bunhill Row
London, EC1Y 8TZ
United Kingdom
+44 20 7040 8698 (Phone)
+44 20 7040 8881 (Fax)

HOME PAGE: http://www.bayes.city.ac.uk/faculties-and-research/experts/giovanni-urga

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