data['close'].groupby(data['ticker']).plot(figsize=(15,7)) plt.title(' Close prices for NSE NIFTY50 futures in the first quarter of 2020 \n (Note: red lines mark the expiry dates)'\ ,fontsize ='xx-large') plt.axvline(datetime(2020, 1, 30), color='r') # Jan expiry plt.a...
As the Indian equity market is growing, the trend and future prospects in FIIs has become a topic of great concern. The paper is intended at exploring the causal relationship between FIIs inflows and volatility in indices of NSE by adopting Granger Causality test in a bivariate VAR framework....
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['close'].groupby(data['ticker']).plot(figsize=(15,7)) plt.title(' Close prices for NSE NIFTY50 futures in the first quarter of 2020 \n (Note: red lines mark the expiry dates)'\ ,fontsize ='xx-large') plt.axvline(datetime(2020, 1, 30), color='r') # Jan expiry plt.a...