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Analysing the systemic risk of Indian banks
Indian Inst Technol Kanpur, India.
Indian Inst Technol Kanpur, India.
Linköping University, Department of Management and Engineering, Economics. Linköping University, Faculty of Arts and Sciences.
European Univ Inst, Italy.
2019 (English)In: Economics Letters, ISSN 0165-1765, E-ISSN 1873-7374, Vol. 176, p. 103-108Article in journal (Refereed) Published
Abstract [en]

This paper adopts the Tail-Event driven NETwork (TENET) risk model to assess the systemic risk of Indian banks. Building upon the Value at Risk (VaR), Conditional Value at Risk (CoVaR) and a Single Index Model (SIM) in a generalized quantile regression framework, the results suggest that the Indian banks exhibit high interconnectedness during the crisis period. The results also identify the systemically important banks and explain the banking networks. (C) 2019 Elsevier B.V. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE SA , 2019. Vol. 176, p. 103-108
Keywords [en]
Systemic risk; Financial policy; Quantile regression
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:liu:diva-157270DOI: 10.1016/j.econlet.2019.01.003ISI: 000464089400023OAI: oai:DiVA.org:liu-157270DiVA, id: diva2:1323829
Note

Funding Agencies|Office of Dean: Research and Development, Indian Institute of Technology Kanpur [IITK /HSS /2015086]

Available from: 2019-06-12 Created: 2019-06-12 Last updated: 2019-06-12

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