• DocumentCode
    3169586
  • Title

    Trend Decomposition, informativeness and co-integration of futures market price discovery

  • Author

    Shi, Jixin

  • Author_Institution
    Inst. of Syst. Eng., Southeast Univ., Nanjing, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    3575
  • Lastpage
    3578
  • Abstract
    In this paper Beveridge-Nelson Decomposition is used to examine trend content of soybean purchase price of oil plant in northeast China and soybean future prices of DCE and CBOT, in order to uncover full information in soybean´s price discovery process and avoid contemporaneous correlation. It was found that DCE price was consistently more imformative about the fundamental price of soybean because of its lower noise level. Co-integration analysis and error correction model proved that there is a long-term equilibrium among three sample series; however, no evidence shows co-integration between two futures prices. Both DCE price and CBOT price are Granger Causes of domestic spot price. Price discovery process in DCE is independent of CBOT while price in CBOT sharing information from DCE, due to current situation in Chinese soybean spot market.
  • Keywords
    agriculture; pricing; vegetable oils; Beveridge-Nelson decomposition; CBOT; DCE; co-integration analysis; error correction model; market price discovery; oil plant; price discovery process; soybean price; trend decomposition; Aluminum; Biological system modeling; Correlation; Error correction; Industrial economics; Security; Beveridge-Nelson decomposition; agricultural futures markets; co-integration; error correction model; price discovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6010370
  • Filename
    6010370