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Macro Stress Testing of Selected Banks in India: An Intermodelling Approach Using the VAR Framework
The COVID-19 pandemic has proved that credit risk for financial institutions need not be idiosyncratic and could have its roots in a system-wide health crisis. Times of economic downturns and the failure of few 'giants' in the industry has pushed the regulators, Central bankers and economi...
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Published in: | IPE Journal of Management 2022-01, Vol.12 (1), p.1-29 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
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Summary: | The COVID-19 pandemic has proved that credit risk for financial institutions need not be idiosyncratic and could have its roots in a system-wide health crisis. Times of economic downturns and the failure of few 'giants' in the industry has pushed the regulators, Central bankers and economists globally to model 'market risk' as a determinant of 'credit risk'. As a humble attempt in this direction, we ventured into estimating a risk model using the Vector Autoregressive (VAR.) framework with variables representing the various facets of market risk like Economic, Currency, Interest rate, Commodity and Asset price risk during the period 2010 QI - 2020 Q3 to explain the Default rates of the Indian banking system at a disaggregated level. The results from the model and ac-companying Post-VAR estimations showed that Credit risk is explained by Market risk and had spillover effects into the Market risk variables.The stress tests indicate that the 'Moratorium period' imposed by the RBI has been effective in curtailing shocks to NPA during the pandemic and the banks have capital adequacy to deal with an economically stressed scenario like the present. However, as the Pandemic continues its onslaught, the creation of a 'Bad Bank' and 'Recapitalizations' are inevitable. Some of our inferences from this study are novel to the area of'Risk Management' for banks in India. |
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ISSN: | 2249-9040 |