The purpose of this study is to find the most appropriate model for predicting future stock prices, and the analytical tool used is ARIMA. In this study, the authors used the time series data of the share price of PT BNI (Persero) Tbk. from January 3, 2017, to June 28, 2019, consisting of 594 working days from the Investing.com database. The research found that the ARIMA model analysis (3,1,3) is the most appropriate model for predicting the share price of PT. Bank Negara Indonesia (Persero) Tbk, with the equation model: Yt = - 6.331988 + 1.714721Yt-1 - 0.149406 Yt-2 - 1.72221 Y t-3 + 0.858083 Yt-4 + 0.729283 t-1 - 0.845787 t-2 - 0.898101 t-3
Present price (Pt) is necessary to be forecasted in order to help investor and trader to take financ...
This article suggests an imperial real world problem technique for forecasting the financial time se...
The main purpose of this research is to create a predictive model of the ARIMA method on the daily s...
The purpose of this study is to find the most appropriate model for predicting future stock prices, ...
In stock trading activities, the share price always fluctuates, it is caused by the demand and suppl...
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...
A capital market is a market in which long-term trading of financial assets takes place, or a market...
Composite Stock Price Index (CSPI) can be used as a reflection of the national economic condition of...
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...
Stock price prediction is an important topic in finance and economics which has spurred the interest...
Forecasting the future prices of stock by analyzing the past and current price movements in determin...
This paper examined time, trends, seasonalities, and cycles to attempt to forecast stock price direc...
Investment has a very important role in economic growth, when investors invest, GDP tends to rise wh...
Present price (Pt) is necessary to be forecasted in order to help investor and trader to take financ...
This article suggests an imperial real world problem technique for forecasting the financial time se...
The main purpose of this research is to create a predictive model of the ARIMA method on the daily s...
The purpose of this study is to find the most appropriate model for predicting future stock prices, ...
In stock trading activities, the share price always fluctuates, it is caused by the demand and suppl...
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...
A capital market is a market in which long-term trading of financial assets takes place, or a market...
Composite Stock Price Index (CSPI) can be used as a reflection of the national economic condition of...
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...
Stock price prediction is an important topic in finance and economics which has spurred the interest...
Forecasting the future prices of stock by analyzing the past and current price movements in determin...
This paper examined time, trends, seasonalities, and cycles to attempt to forecast stock price direc...
Investment has a very important role in economic growth, when investors invest, GDP tends to rise wh...
Present price (Pt) is necessary to be forecasted in order to help investor and trader to take financ...
This article suggests an imperial real world problem technique for forecasting the financial time se...
The main purpose of this research is to create a predictive model of the ARIMA method on the daily s...