1 天前 - … provides an analysis of various forecasting methods for predicting the Nasdaq Price.
… In Figure 1, The trend in interest rates graph has been predominantly downward, marked …

6 天前 - … from the historical time series of stock prices to alternative … returns through several
different methods. After analyzing … of forecasting stock prices through a regression model is …

6 天前 - … to an information set only containing historical prices. The ”semi-… regression analysis
and the Fama-French three-factor model, imposes certain limitations. While these methods …

10 天前 - … forecast stock market trends. KNN is a machine learning algorithm widely used for
classification and regression tasks, known for its simplicity and effectiveness. In this research, …

13 天前 - … &P 500 stocks. In 2017, Huynh et al. [18] created a new model for predicting stock
price movement … Regression analysis is a statistical approach for estimating the relationships …

14 天前 - … and steady decline in price movement that the HSI has seen … price fluctuations,
leading to higher Implied Volatility. … R2 value is a statistical measurement in regression analysis, …

14 天前 - … and Random Forest Regression methods, which … Development, 13 (1), 178 [3]
Demirel, U., Cam, H., & Ünlü, R.(2021). Predicting stock prices using machine learning methods …

15 天前 - This research aimed to study 1) the variables that affect the value of securities of
WHA Corporation Public Company Limited. 2) forecast operating results financial status and …

15 天前 - … , obtained from the regression model's prediction method. The simulation iterates
over … model to predict stock prices, utilizing historical data to inform future market trends. Our …

15 天前 - … and regressions are described. The descriptive statistics, regression analyses and
… , making it impossible to predict future price movements based on past trends. This form …