data = pd.DataFrame(columns=['<ticker>', '<date>', '<open>', '<high>', '<low>', '<close>', '<volume>', '<o/i>']) df = pd.DataFrame() for year in years: for month in months: for date in dates: filename = f'{year}-{month}-{date}-NSE-FO.txt' try: df = pd.r...
This study examines the impact of FIIs on the volatility of NSE . The scope of the research comprises of information derived from secondary data from various sources e.g. economic intelligence, SEBI websites, Central Depository Service (India) Limited, journals and reports. A clear benefit of ...
data = pd.DataFrame(columns=['<ticker>', '<date>', '<open>', '<high>', '<low>', '<close>', '<volume>', '<o/i>']) df = pd.DataFrame() for year in years: for month in months: for date in dates: filename = f'{year}-{month}-{date}-NSE-FO.txt' try: df = pd.r...
The analysis covered daily data series on FIIs inflows and S&P CNX NIFTY for seven financial years from April 2003 to March 2010. To investigate whether the data is stationary or not, the researchers used Augmented Dickey Fuller test and Phillips Perron test.Swami Prasad Saxena...