Networth exposure to interest rate risk: An empirical analysis of Indian commercial banks

dc.contributor.author Saha, Asish
dc.contributor.author Subramanian, V.
dc.contributor.author Basu, Sanjay
dc.contributor.author Mishra, Alok Kumar
dc.date.accessioned 2022-03-27T02:09:55Z
dc.date.available 2022-03-27T02:09:55Z
dc.date.issued 2009-03-01
dc.description.abstract In the Basel II era, management of interest rate risk in the banking book has become significant. In the first study of its kind, we develop a simulation based driver-driven approach to estimate the impact of interest rate volatility on the networth of Indian banks during the period 2002-2004. We derive the interest rates that drive changes in deposit and prime lending rates (PLR). Then we perform Monte Carlo simulation and multiple regressions, on these driver rates, to obtain simulated shocks to deposit rates and PLR. We use these simulated shocks to get the 99% worst EVE loss for the sample banks. These losses are much larger than what the existing literature suggests. This is because, apart from repricing risk, we are the first to find evidence of significant basis risk. Our results have important policy implications both for banks and regulators. © 2007 Elsevier B.V. All rights reserved.
dc.identifier.citation European Journal of Operational Research. v.193(2)
dc.identifier.issn 03772217
dc.identifier.uri 10.1016/j.ejor.2007.11.038
dc.identifier.uri https://www.sciencedirect.com/science/article/abs/pii/S037722170701140X
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/4781
dc.subject Driver-driven variables
dc.subject Interest rate risk in banks
dc.subject Risk management
dc.subject Simulation
dc.title Networth exposure to interest rate risk: An empirical analysis of Indian commercial banks
dc.type Journal. Article
dspace.entity.type
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