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.

Analysing the systemic risk of Indian banks

Bekiros S.
2019-01-01

Abstract

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.
2019
176
103
108
Financial policy; Quantile regression; Systemic risk
Verma R.; Ahmad W.; Uddin G.S.; Bekiros S.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/1913055
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