This paper delves into the multifaceted landscape of stock prices, as their nature makes
accurate forecasting a considerable challenge for investors and researchers. The analysis …

This research was conducted to predict stock prices from July 2024 to December 2024. The
stock chosen for prediction was Shanghai Pudong Development Bank. The ARIMA and …

This study aims to investigate the intricate relationship between exchange rate fluctuations
and the CSE All Share Price Index (CASPI) in the context of Bangladesh. Employing a …

ABSTRACT The ARIMA, Artificial Neural Networks (ANN), Kalman Filter, and hybrid ARIMA
ANN models are compared in this article in order to establish a forecast for some stock …

The financial markets have always been a focal point of interest for investors, analysts, and
researchers. Predicting stock prices accurately has remained a challenging task. For many …

This paper delves into the multifaceted landscape of stock prices, as their nature makes
accurate forecasting a considerable challenge for investors and researchers. The analysis …

The purpose of this study is to know the comparison of forecasting models in predicting the
stock price of PT. Unilever Indonesia Tbk. In this study, there are 2 forecasting models …

This paper attempts to apply the ARIMA time series model to forecast the exchange rate of
seven currencies (United States Dollar, Euro, Pound sterling, Australian Dollar, Japanese …