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  • 标题:Forecasting Gold Prices Using U.S. Macroeconomic Indicators
  • 本地全文:下载
  • 作者:Rizwan M. Syed
  • 期刊名称:Michigan Journal of Business
  • 印刷版ISSN:1941-5745
  • 出版年度:2016
  • 卷号:10
  • 期号:1
  • 页码:39
  • 出版社:University of Michigan
  • 摘要:This paper attempts to extend the literature on modeling goldprices by studying a unique set of variables using data from 2000 to2015. I construct a family of forecasting models which I then refinebased on the significance of multivariate linear regression results.The best model carries a predictive capacity of around 30%, and themost powerful indicators from the variables used are the USD-GBPexchange rate and the S&P 500 stock market index.
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