Traditional assets, like stocks and bonds, are mostly found to be highly influenced by uncertainties, and cause …; growth stocks, value stocks, large stocks, small stock, and sector's stock. Autoregressive distributive lag (ARDL) approach …

stocks from 2017 till the end of March 2024. Since stocks movement does not follow a linear behavior, we used multiple degree … polynomial regression models to identify the stocks' trends and two standard deviations from the regression model to generate the … used by a fully automated trading system. Our results indicate that the behavior of Nasdaq100 stocks can be tracked using …

, the BSE Sensex, and gold prices. We find that, for the period of our study, 1980-2020, gold has not served as a hedge or a …

losses may be overcome in the future by improvements in stock prices. Furthermore, risk was reflected by significant up and …

previous empirical studies to identify certain patterns in determining the optimal number of stocks in well …-diversified portfolios in different markets, and to compare how the optimal number of stocks has changed over different periods and how it … refers to, etc. Our paper provides additional support for the fact that (1) a generalized optimal number of stocks that …