论文信息 - FORECASTING SHORT TERM FINANCIAL DATA

FORECASTING SHORT TERM FINANCIAL DATA

This 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.

Radga Alwadi

[1] D. J. Swider,et al. Extended ARMA models for estimating price developments on day-ahead electricity markets , 2007 .

[2] Mohd Tahir Ismail,et al. Selecting Wavelet Transforms Model in Forecasting Financial Time Series Data Based on ARIMA Model , 2011 .

[3] Steven C. Wheelwright,et al. Forecasting methods and applications. , 1979 .

[4] J. Contreras,et al. ARIMA Models to Predict Next-Day Electricity Prices , 2002, IEEE Power Engineering Review.

[5] S. Al Wadi,et al. Maximum overlapping discrete wavelet transform in forecasting banking sector , 2013 .

[6] Ashwani Kumar,et al. Price forecasting using wavelet transform and LSE based mixed model in Australian electricity market , 2008 .

[7] J. Craggs. Applied Mathematical Sciences , 1973 .

[8] Skander Soltani,et al. On the use of the wavelet decomposition for time series prediction , 2002, ESANN.