Leverage and Systemic Risk Pro-Cyclicality in the Chinese Financial System
Cincinelli, P., Pellini, E. & Urga, G. (2021). Leverage and Systemic Risk Pro-Cyclicality in the Chinese Financial System. International Review of Financial Analysis, 78(101895), article number 101895. doi: 10.1016/j.irfa.2021.101895
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 ∆CoV aR (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 affects 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.
Publication Type: | Article |
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Additional Information: | © 2021. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Publisher Keywords: | Leverage and systemic risk pro-cyclicality; Bank and non bank financial institutions; Panel data regression |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management H Social Sciences > HG Finance H Social Sciences > HJ Public Finance |
Departments: | Bayes Business School > Finance |
SWORD Depositor: |
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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