Optimising the value-at-risk model in banks in India to adequately quantify market risks in emerging markets

Market risk tends to be extreme in its development and violent in its impact. This study gives consideration to the case study of banks in India in optimising the value-at-risk (VaR) model in emerging markets believing that the case study of these banks is not just the story of individual banks but a window into the structural issues of the entire market risk models in emerging markets. This study uses the parametric method to optimise the value-at-risk model based on probabilities and mathematical expectations to adequately quantify the expected worst-case loss that a financial institution may sustain under normal market conditions, at a predefined confidence level, over a given time horizon and for a given asset portfolio after taking into consideration the expected recovery rate of assets. The recommendations set out in this study provide emerging markets with an optimised estimation of the value-at-risk model to adequately quantify market risk. Copyright © 2019 Inderscience Enterprises Ltd.