Paper Title:
Study on Forecasting of Gold Price Based on Varying-Coefficient Regression Model
  Abstract

U.S. dollar index, oil prices, silver prices, DOW index, OECD leading index and the CRB index are selected and varying-coefficient regression model which has dynamic response to the various variables influence is applied to predict the gold price and improve the prediction accuracy in this paper. In addition, the weighted least squares is adopted as an estimation of the parameters, corrects the traditional least squares method defect which assumes the sample data weights equal points to the prediction, making sample weights larger closer with prediction points. In the choice of weighting function, the paper uses cross validation to gain smoothing parameter. In the last, we predicted the 12 months gold prices from January 2010 December 2010 applies varying-coefficient regression model.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
1398-1403
DOI
10.4028/www.scientific.net/KEM.467-469.1398
Citation
Q. Zhang, J. H. Ma, Y. Wang, "Study on Forecasting of Gold Price Based on Varying-Coefficient Regression Model", Key Engineering Materials, Vols. 467-469, pp. 1398-1403, 2011
Online since
February 2011
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Price
$32.00
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