Keywords : Variance
European Journal of Molecular & Clinical Medicine,
2020, Volume 7, Issue 4, Pages 1010-1018
Banking is a backbone for economic progress of any country, India is not an exception. After Nationalisation till liberalisation the progress of banking industry mainly focused on public sector banks. After liberalisation private sector banks has played an important role for the progress of Indian economy. Government of India initiated diverse structural reforms in line with global banking industry such as implementation of Basel norms, listing in stock exchanges, automation of operational activities, consolidation of selected public sector banks , as a part of financial inclusion Pradhan Mantri Jan Dhan Yojana (PMJDY), National Investment and Infrastructure (NIIF), allowing to operate small and payments banks and others. The current study highlights risk and return of banking stocks which are part of Nifty index between 2 periods which includes period1, the UPA government (2010 to 2014) and period2, the NDA government (2015 to 2019). It also examines the pattern of return and risk of banking stocks between two periods and relates different policy decisions. The study used different statistical techniques like Return, Average return, Standard deviation, Variance and Beta. Coefficient of variation analysis is to understanding the relationship between two periods risk and return of banking stocks.