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dc.contributor.authorSadam, Al Wadi
dc.contributor.authorMohd Tahir, Ismail
dc.contributor.authorSamsul Ariffin, Addul Karim
dc.date.accessioned2010-11-28T03:44:21Z
dc.date.available2010-11-28T03:44:21Z
dc.date.issued2010-06-02
dc.identifier.citationVol.4(18), p.448-453en_US
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/10338
dc.description1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010 organized by Universiti Malaysia Perlis (UniMAP) and co-organized by Universiti Sains Malaysia (USM) & Universiti Kebangsaan Malaysia (UKM), 2nd - 3rd June 2010 at Eastern & Oriental Hotel, Penang.en_US
dc.description.abstractThis article suggests a novel technique for forecasting the financial time series data based on Wavelet transforms and ARIMA model. The financial data are decomposed via Haar Wavelet transforms. Then, the future observations of this series are forecasts using a suitable and best fitted ARIMA model. Daily prices from Amman Stocks Market (Jordan) from 1992 until 2008 are used in this study.en_US
dc.language.isoenen_US
dc.publisherUniversiti Malaysia Perlis (UniMAP)en_US
dc.relation.ispartofseriesProceedings of the 1st Regional Conference on Applied and Engineering Mathematics (RCAEM-I) 2010en_US
dc.subjectWavelet transformen_US
dc.subjectARIMA modelen_US
dc.subjectFinancial time seriesen_US
dc.subjectForecastingen_US
dc.subjectRegional Conference on Applied and Engineering Mathematics (RCAEM)en_US
dc.titleForecasting financial time series data base on wavelet transforms and ARIMA modelen_US
dc.typeWorking Paperen_US
dc.publisher.departmentInstitut Matematik Kejuruteraanen_US
dc.contributor.urlsadam_alwadi@yahoo.co.uken_US
dc.contributor.urlmtahir@cs.usm.myen_US
dc.contributor.urlsamsul_ariffin@petronas.com.myen_US


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