Neural network-based fuzzy auto-regressive models of different orders to forecast Taiwan stock index Online publication date: Tue, 31-Mar-2009
by Tiffany Hui-Kuang Yu, Kun-Huang Huarng, Rapon Rianto
International Journal of Economics and Business Research (IJEBR), Vol. 1, No. 3, 2009
Abstract: This article proposes the use of a fuzzy time series model based on neural networks that are intended to calculate the complicated fuzzy relationships among observations. The Taiwan stock exchange capitalisation weighted stock index is used as the forecasting target. Various parameters such as the order of the time series the threshold for defuzzification, and the in-sample estimation results are used to determine the proper models for out-of-sample forecasting.
Online publication date: Tue, 31-Mar-2009
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