Global market integration and increase in trading activities have magnified the financial system complexities and increased the degree of riskiness. Value-at-Risk (VaR) has been universally accepted as a measure of market risk in financial institutions. In this study, using the data of NSE-Nifty Bank Index and indices of SBI and ICICI Bank over a sample period from January 3, 2005 to November 19, 2014, an attempt has been made to analyze the market exposure in Indian banking industry by employing various methods of VaR. The study reveals that there is greater market turbulence during the financial crisis period than the pre- and post-crisis periods through all the three techniques of VaR. Moreover, bifurcating the full sample into three sub-samples (pre-crisis, crisis and post-crisis periods) seems to assure robustness, thereby validating the applicability of VaR methods for the Indian banking sector. Further, backtesting through Kupiec test revealed that historical simulation approach accounts for less statistical noise than other methods of estimating VaR.