Add to ORKGThis article suggests an imperial real world problem technique for forecasting the financial time series data in order to solve real problems. The financial data are forecasted via ARIMA model in order to give some future suggestion about the case study. Some stock market data have been obtained from the department of land and survey in Jordan. Thus, this was aimed at implementing this model
This thesis aims to examine the ARIMA model in predicting stock return for Finnish major banks: OP, ...
The ability to predict time series data on closing market prices is critical in determining a compan...
This study utilises autoregressive integrated moving average (ARIMA) time series models to predict t...
This article suggests an imperial real world problem technique for forecasting the financial time se...
Stock price prediction is an important topic in finance and economics which has spurred the interest...
The volatility of stock market data have contributed an essential section in risk study and it is v...
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...
Nowadays, lot of people make an investments to get a passive income. This is used by many companies ...
Forecasting the future prices of stock by analyzing the past and current price movements in determin...
Foreign exchange is one type of investment, which its goal is to minimize losses that could occur. F...
Movements in a stock market index may safely be considered one of the mostwatched out phenomena by i...
Stock prices tend to show trends or seasonality or have random walk movements. Time series statistic...
Stock market indexes provide a yardstick with which investors can compare the performance of their i...
Stock market volatility have added an important section in risk scholarship and it is actual proble...
This thesis aims to examine the ARIMA model in predicting stock return for Finnish major banks: OP, ...
The ability to predict time series data on closing market prices is critical in determining a compan...
This study utilises autoregressive integrated moving average (ARIMA) time series models to predict t...
This article suggests an imperial real world problem technique for forecasting the financial time se...
Stock price prediction is an important topic in finance and economics which has spurred the interest...
The volatility of stock market data have contributed an essential section in risk study and it is v...
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...
Nowadays, lot of people make an investments to get a passive income. This is used by many companies ...
Forecasting the future prices of stock by analyzing the past and current price movements in determin...
Foreign exchange is one type of investment, which its goal is to minimize losses that could occur. F...
Movements in a stock market index may safely be considered one of the mostwatched out phenomena by i...
Stock prices tend to show trends or seasonality or have random walk movements. Time series statistic...
Stock market indexes provide a yardstick with which investors can compare the performance of their i...
Stock market volatility have added an important section in risk scholarship and it is actual proble...
This thesis aims to examine the ARIMA model in predicting stock return for Finnish major banks: OP, ...
The ability to predict time series data on closing market prices is critical in determining a compan...
This study utilises autoregressive integrated moving average (ARIMA) time series models to predict t...