Forecasting volatility data based on Wavelet transforms and ARIMA model

Al Wadi, S. and Ismail, M.T. and Altaher, A.M. and Karim, S.A.A. (2010) Forecasting volatility data based on Wavelet transforms and ARIMA model. In: UNSPECIFIED.

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Abstract

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.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: 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
Uncontrolled Keywords: ARIMA models; Forecasting volatility; Future observations; Novel techniques; volatility data, Forecasting, Wavelet transforms
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:48
Last Modified: 09 Nov 2023 15:48
URI: https://khub.utp.edu.my/scholars/id/eprint/851

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