Impact of COVID-19 on systemic risk for Indian financial institutions

被引:0
作者
Karmakar S. [1 ]
Bandyopadhyay G. [1 ]
Pamucar D. [2 ]
Mukhopadhyaya J.N. [3 ]
Biswas S. [1 ]
机构
[1] Department of Management Studies, National Institute of Technology, West Bengal, Durgapur
[2] Faculty of Organizational Sciences, University of Belgrade, Serbia
[3] Finance Area, Army Institute of Management, West Bengal
关键词
banks; COVID-19; financial institutions; NBFC; SRISK; systemic risk; VIX; volatility index;
D O I
10.1504/IJADS.2023.134203
中图分类号
学科分类号
摘要
This paper studies differential impact of COVID-19 on systemic risk during different phases of lockdown on the financial institutions in India. We use SRISK as a measure of systemic risk and study three categories of financial institutions viz., public sector banks (PSBs), private sector banks and non-banking financial companies (NBFCs). We use Kruskal-Wallis test for examining the difference in the SRISK parameter for the three categories of financial institutions considered in this paper and observe significant difference. We have also estimated the Spearman correlations between the Indian volatility index (VIX) and SRISK across the three categories of financial institutions. The PSBs are foremost in risk contribution compared to private banks and NBFCs but they are not affected by market volatility index as compared to their counterparts, on the other hand medium and small sized PSBs have performed well as compared to large PSBs. Based on the result it is inferred that the month of April 2020-June 2020 (lockdown period) had the most significant increase in systemic risk. © 2023 Inderscience Enterprises Ltd.
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页码:686 / 716
页数:30
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共 64 条
[11]  
Barua B., Barua S., COVID-19 implications for banks: evidence from an emerging economy, SN Business & Economics, 1, 1, pp. 1-28, (2021)
[12]  
Benoit S., Colliard J.E., Hurlin C., Perignon C., Where the risks lie: a survey on systemic risk, Review of Finance, 21, 1, pp. 109-152, (2017)
[13]  
Berger A.N., Demirguc-Kunt A., Banking research in the time of COVID-19, Journal of Financial Stability, 57, (2021)
[14]  
Biswas S., Measuring performance of healthcare supply chains in India: a comparative analysis of multi-criteria decision-making methods, Decision Making: Applications in Management and Engineering, 3, 2, pp. 162-189, (2020)
[15]  
Biswas S., Majumder S., Dawn S.K., Comparing the socioeconomic development of G7 and BRICS countries and resilience to COVID-19: an entropy-MARCOS framework, Business Perspectives and Research, 10, 3, pp. 286-303, (2022)
[16]  
Bora D., Basistha D., The outbreak of COVID-19 pandemic and its impact on stock market volatility: evidence from a worst-affected economy, Journal of Public Affairs, 21, 4, (2021)
[17]  
Borio C., The COVID-19 economic crisis: dangerously unique, Business Economics, 55, 4, pp. 181-190, (2020)
[18]  
Bozanic D., Tesic D., Marinkovic D., Milic A., Modeling of neuro-fuzzy system as a support in decision-making processes, Reports in Mechanical Engineering, 2, 1, pp. 222-234, (2021)
[19]  
Brownlees C., Engle R.F., SRISK: a conditional capital shortfall measure of systemic risk, The Review of Financial Studies, 30, 1, pp. 48-79, (2017)
[20]  
Brunetti Celso, Harris Jeffrey H., Mankad Shawn, Bank holdings and systemic risk, Finance and Economics Discussion Series 2018-063, (2018)