Apply big data analytics for forecasting the prices of precious metals futures to construct a hedging strategy for industrial material procurement

Sheng Tun Li, Kuei Chen Chiu, Chien Chang Wu

研究成果: Article同行評審

1 引文 斯高帕斯(Scopus)

摘要

This study explores the critical factors affecting the prices of precious metals by using Granger causality tests through collecting financial market information and network traffic volume of Google Trend keywords and the traditional financial index. It establishes a forecasting model of precious metal price to assist the procurement of precious metals as raw materials which help to reduce material costs and control risks, thus lifting a company's profits. The results reveal that the prices of precious metals have a causality relation with their own exchange-traded funds, US 10-year treasury rate, and the Dow Jones Industrial Average but not Google Trends.

原文English
期刊Managerial and Decision Economics
DOIs
出版狀態Accepted/In press - 2022

All Science Journal Classification (ASJC) codes

  • 商業與國際管理
  • 策略與管理
  • 管理科學與經營研究
  • 技術與創新管理

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