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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Modeling and Forecasting the Textile Price Index Using Nonparametric Path Design
verfasst von : Jinghui He, Bing Xu
Erschienen in: Innovative Management in Information and Production
Verlag: Springer New York
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Abstract
Textile price index is a kind of index that measures the textile prices traded in China Textile City in total as the stock index in the stock market. Theindex forecasting is important for both trade parties. In this investigation,we collect various factors which perhaps influence the textile price index from theindustrial economy point of view and that brought out of stock market. Then, the nonparametric path design is employed. Based on time path, factors which influence significantly to the textile market among the collected factors are extracted and identified by their bandwidths in nonparametric regression estimation. Finally we forecast the textile price index by the nonparametric path design. And a comparison with parametric regression is done. The result is that the former is more accurate.