id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bibechana-31180	Thapa, Prabin; Aryal, Binil	Use of geometric Brownian motion to forecast stock market scenario using post covid-19 NEPSE index	2021	11	.pdf	application/pdf	4606	191	61	Mapping of Nepal stock market through GBM was found to be consistent with the standard forecasting accuracy making GBM one of the flexible and consistent to predict stock market scenario of Nepal accounting the random nature. So, for further discussions we infer best- fit analysis along with R-squared value as in Fig 3. Fig 3: Line plot of selected predicted index and actual index for market year 2004 along with best fit and R-squared value From the Fig 3 above, it is clear that our model of prediction is consistent and can be applied to other fiscal year of stock market as the R-squared value 0.921 is nearly equal to 1 and the best fit to two degree polynomial shows that the model is capable of including the varying nature of stock market.	cache/bibechana-31180.pdf	txt/bibechana-31180.txt