MODEL FOR IDENTIFYING VOLATILITY IN EQUITY MARKET WITH THE HELP OF NSE LISTED STOCKS WITH SPECIAL REFERENCE TO APOLLO TYRES, ASIAN PAINTS AND ASHOK LEYLAND DURING POST COVID-19 IN INDIA- A CASE STUDY

This study covers the whole gamut of volatility in terms of Share price increase or decrease. The centre of coverage over here in this study is COVID-19. We all have to strongly admit that COVID has created much more crucified impacts on all businesses including stock market trading. 100 Trading Days Cash Market data and 90 trading days Future Price data were taken in to account. Volatility is being computed with the help of Excel application and it is found that those stocks experienced low upswings are said to be high risky stocks and these stocks are not fit enough to buy. These share prices are further backed up by Cash flows, Book Value Per share, Earnings Per share. These financial variables' quarterly growth history from the start of Lock down is checked out and if the growth is negative, the concerned stock is classified as risk and it is not fit to buy.