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A new information fusion method of forecasting

  • Yunxiao YeEmail author
  • Jinsuo Zhang
  • Zanghong Huang
  • Jian Chai
Original Research
  • 55 Downloads

Abstract

In the field of forecasting, there are always more than one method to deal with a problem, and more than one institute will supply their own research on the same problem. It’s hard to say which method or information source is better, so the research how to make full use of all the information that we have is valuable. In this paper, we proposed a new fusion method to make full use of all kinds of forecast information to improve the performance of forecasting and made an application to oil price forecast fusion by it. This approach presented a stable and great performance. What’s more, it doesn’t require training data, little limit of the source data, no complex computation, and it also provides a solution to combination puzzle.

Keywords

Price forecasting Information fusion Combining forecasts Optimization of results 

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2017

Authors and Affiliations

  • Yunxiao Ye
    • 1
    Email author
  • Jinsuo Zhang
    • 2
  • Zanghong Huang
    • 1
  • Jian Chai
    • 3
  1. 1.School of ManagementXi’an University of Science and TechnologyXi’anChina
  2. 2.Yan’an UniversityYan’anChina
  3. 3.School of Economics and ManagementXidian UniversityXi’anChina

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