In stock trading activities, the share price always fluctuates, it is caused by the demand and supply of the shares. The condition of stocks that continue to experience fluctuations makes investors who want to invest in stocks need to pay attention and study in advance the past data of the company to be selected to know how the company's stock price fluctuations in the next period.This study aims to determine the model of ARIMA Box-Jenkins from the closing price of PT Bank Central Asia Tbk shares, then forecast the obtained model. The data used in this study is the data series of the closing price of PT Bank Central Asia Tbk's daily shares from October 1, 2020 to February 26, 2021. The forecasting method used is the ARIMA Box-Jenkins method...
Present price (Pt) is necessary to be forecasted in order to help investor and trader to take financ...
The International financial crisis in has increased the world's interest in Islamic banking. Forecas...
Stock price data tend to experience a linear trend and fluctuate over time. So that forecasting is n...
The purpose of this study is to find the most appropriate model for predicting future stock prices, ...
A capital market is a market in which long-term trading of financial assets takes place, or a market...
Nowadays, lot of people make an investments to get a passive income. This is used by many companies ...
This study uses a quantitative research method that aims to apply time series graphics to Indonesian...
The ability to predict time series data on closing market prices is critical in determining a compan...
The purpose of this study was to find the ARIMA Model and GARCH Model which had the best performance...
The main purpose of this research is to create a predictive model of the ARIMA method on the daily s...
The purpose of this research is to predict the closing stock price of PT. Unilever Indonesia Tbk usi...
Investment has a very important role in economic growth, when investors invest, GDP tends to rise wh...
PT Unilever Indonesia's stock price swings. This has a heteroscedasticity impact due to the substant...
Abstract—the model in time series analysis are widely used in the field of economy, it can describe ...
This paper examined time, trends, seasonalities, and cycles to attempt to forecast stock price direc...
Present price (Pt) is necessary to be forecasted in order to help investor and trader to take financ...
The International financial crisis in has increased the world's interest in Islamic banking. Forecas...
Stock price data tend to experience a linear trend and fluctuate over time. So that forecasting is n...
The purpose of this study is to find the most appropriate model for predicting future stock prices, ...
A capital market is a market in which long-term trading of financial assets takes place, or a market...
Nowadays, lot of people make an investments to get a passive income. This is used by many companies ...
This study uses a quantitative research method that aims to apply time series graphics to Indonesian...
The ability to predict time series data on closing market prices is critical in determining a compan...
The purpose of this study was to find the ARIMA Model and GARCH Model which had the best performance...
The main purpose of this research is to create a predictive model of the ARIMA method on the daily s...
The purpose of this research is to predict the closing stock price of PT. Unilever Indonesia Tbk usi...
Investment has a very important role in economic growth, when investors invest, GDP tends to rise wh...
PT Unilever Indonesia's stock price swings. This has a heteroscedasticity impact due to the substant...
Abstract—the model in time series analysis are widely used in the field of economy, it can describe ...
This paper examined time, trends, seasonalities, and cycles to attempt to forecast stock price direc...
Present price (Pt) is necessary to be forecasted in order to help investor and trader to take financ...
The International financial crisis in has increased the world's interest in Islamic banking. Forecas...
Stock price data tend to experience a linear trend and fluctuate over time. So that forecasting is n...