%0 Conference Paper
%A Al Wadi, S.
%A Ismail, M.T.
%A Altaher, A.M.
%A Karim, S.A.A.
%D 2010
%F scholars:851
%K ARIMA models; Forecasting volatility; Future observations; Novel techniques; volatility data, Forecasting, Wavelet transforms
%P 86-90
%R 10.1109/CSSR.2010.5773909
%T Forecasting volatility data based on Wavelet transforms and ARIMA model
%U https://khub.utp.edu.my/scholars/851/
%X This article suggests a novel technique for forecasting the volatility data based on Wavelet transforms and ARIMA model. The volatility data are decomposed via Wavelet transforms. Then, the future observations of this series are forecasted using a suitable and best fitted ARIMA model. Daily prices from Amman Stocks Market (Jordan) from 1993 until 2009 are used in this study. © 2010 IEEE.
%Z cited By 0; Conference of 2010 International Conference on Science and Social Research, CSSR 2010 ; Conference Date: 5 December 2010 Through 7 December 2010; Conference Code:85258