Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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A Model on Price Forecasting of Natural Resources with Restricted Market

제한적 시장을 가지는 천연자원의 가격예측 모형에 관한 연구

  • Shim, S.C. (Department of Consulting, Graduate School Kumoh National Institute of Technology) ;
  • Lee, S.J. (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Oh, H.S. (Dept. of IME, Hannam University) ;
  • Kim, B.K. (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Kim, O.J. (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Shin, D.W. (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Shin, S.N. (Department of Consulting, Graduate School Kumoh National Institute of Technology) ;
  • Cho, M.H. (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Jung, Y.H. (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Song, I.C. (School of Industrial Engineering, Kumoh National Institute of Technology) ;
  • Cho, J.H. (School of Industrial Engineering, Kumoh National Institute of Technology)
  • 심성철 (금오공과대학교 컨설팅대학원) ;
  • 이세재 (금오공과대학교 산업공학부) ;
  • 오현승 (한남대학교 공과대학 산업경영공학과) ;
  • 김병극 (금오공과대학교 산업공학부) ;
  • 김옥재 (금오공과대학교 산업공학부) ;
  • 신동원 (금오공과대학교 산업공학부) ;
  • 신승남 (금오공과대학교 컨설팅대학원) ;
  • 조명호 (금오공과대학교 산업공학부) ;
  • 정연학 (금오공과대학교 산업공학부) ;
  • 송인철 (금오공과대학교 산업공학부) ;
  • 조진형 (금오공과대학교 산업공학부)
  • Received : 2014.11.05
  • Accepted : 2014.11.24
  • Published : 2014.12.31
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Abstract

Recently, the mineral resource protection policies and regulations in production countries of natural resources including rare metals are becoming more stringent. Such environment makes which market has malfunction. In other word, those are not perfect or pure market. Therefore because each market of natural resources have special or unique characters, it is difficult to forecast their market prices. In this study, we constructed several models to estimate prices of natural resources using statistical tools like ARIMA and their business indices. And for examples, Indium and Coal were introduced.

Keywords

References

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