Hybridization on Ensemble Kalman Filter and Non-Linear Auto-Regressive Neural Network for Financial Forecasting

Financial data is characterized as non-linear, chaotic in nature and volatile thus making the process of forecasting cumbersome. Therefore, a successful forecasting model must be able to capture longterm dependencies from the past chaotic data. In this study, a novel hybrid model, called UKF-NARX,...

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Bibliographic Details
Main Authors: Abdulkadir, Said Jadid, Yong, Suet-Peng, Marimuthu, Maran, Lai, Fong Woon
Format: Citation Index Journal
Published: 2014
Subjects:
Online Access:http://eprints.utp.edu.my/12067/1/Hybridization%20on%20Ensemble%20Kalman%20Filter%20and%20Non-Linear%20Auto-Regressive%20Neural%20Network%20for%20Financial%20Forecasting.pdf
http://eprints.utp.edu.my/12067/
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