Generally, stock prices are chaotic and show both linear and nonlinear behaviors. As a result, the ability of forecasting is notoriously problematic, and represents a major challenge with traditional time series mechanisms; ...

An Artificial Neural Network (ANN) algorithms have been widely used in machine learning for pattern recognition, classifications and time series forecasting today; especially in financial applications with nonlinear and ...

Purpose – The time series analysis is an essential methodology which comprises the tools for analyzing the time series data to identify the meaningful characteristics for making future ad-judgments. The purpose of this ...