Measuring Systemic Risk: Capital Shortfall and CSRISK*

Published date01 March 2021
AuthorJying‐Nan Wang,Yuan‐Teng Hsu,Joe‐Ming Lee,Chih‐Chun Chen
Date01 March 2021
DOIhttp://doi.org/10.1111/irfi.12269
Measuring Systemic Risk: Capital
Shortfall and CSRISK*
JYING-NAN WANG
,
,YUAN-TENG HSU
§
,JOE-MING LEE
AND
CHIH-CHUN CHEN
k
College of International Finance and Trade, Zhejiang Yuexiu University of Foreign
Languages, Zhejiang, China
Research Institute for Modern Economics and Management, Zhejiang Yuexiu
University of Foreign Languages, Zhejiang, China
§
Research Center of Finance, Shanghai Business School, Shanghai, China
Department of Applied Economics, Fo Guang University, Taiwan and
k
Department of Applied Economics and Management, National Ilan University,
Taiwan
ABSTRACT
This study proposes a new measure of systemic risk named CSRISK, which
identies a nancial institutions capital shortfall under the worst scenario
conditional on a substantial market decline. The CSRISK index requires only
public nancial data, including accounting and market trading information,
which is time and cost effective. The empirical sample consists of 238 US
banks over the time period 20032013. Overall, we nd that it is increasing
from 2004 to 2009 and then starts to slightly decrease. This systemic risk
measure has the potential to be widely applied in the practical aspects of risk
management and macroprudential policy making.
JEL Codes: G18; G20; C20
Accepted: 30 March 2019
I. INTRODUCTION
In the recent surveys of Bisias et al. (2012), quantitative measures of systemic
risk are categorized and contrasted in the literature of economics and nance.
1
Systematic risk generally represents macroeconomic or market risks induced by
* The authors would like to express their sincere appreciation to the editor and the anonymous ref-
erees for their valuable comments and suggestions. All authors contributed equally to this
manuscript.
1 One of the approaches is to measure co-dependence in the tails of individual rms and the
whole economy. Adrian and Brunnermeier (2016) propose the CoVaR to measure systemic
risk with the spillover effects from individual equities to the whole economy; Acharya et al.
(2010) use the systemic expected shortfall to capture the downside risk when the whole mar-
ket is in crisis. Other recent studies related to systemic risk include, for example, contingent
claims analysis (Kritzman and Li 2010), granger-causality network model (Boyson et al. 2010;
Bisias et al. 2012), and stress tests (Alfaro and Drehmann 2009; Dufe 2013).
© 2019 International Review of Finance Ltd. 2019
International Review of Finance, 21:1, 2021: pp. 358369
DOI: 10.1111/ir.12269

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