• DocumentCode
    3035792
  • Title

    The Relationship between Prices of Domestic and Foreign Futures Market

  • Author

    He, Qizhi

  • Author_Institution
    Coll. of Stat. & Appl. Math., Anhui Univ. of Finance & Econ., Bengbu, China
  • fYear
    2009
  • fDate
    24-26 July 2009
  • Firstpage
    731
  • Lastpage
    734
  • Abstract
    Using the data of aluminium of Shanghai and London futures exchange, the long-term and dynamic relationship between them are examined. The results suggest that: (1) there are two-way causal relationship between the prices of Shanghai and London futures exchange at the significant level of 10%; (2) the cointegrating residual can be an important explanatory variable for both the conditional mean and the conditional variance and describe the volatility accurately in the aluminum market of Shanghai futures exchange; (3) Shanghai futures exchange market has the reverse lever effect. The influence of good news on the fluctuation of the aluminum futures´ prices is greater than that of bad news. Investors have obvious optimistic investment mood, and is easily influenced by good news; (4) the conditional variance will increase with the deviation of domestic and foreign futures prices increasing.
  • Keywords
    autoregressive processes; commodity trading; foreign exchange trading; investment; pricing; statistical testing; London futures exchange; Shanghai futures exchange; TGARCH; aluminum market; bivariate error correction model; cointegration test; conditional mean; conditional variance; domestic futures market; dynamic relationship; foreign futures market; investment; long-term relationship; pricing; reverse lever effect; two-way causal relationship; Aluminum; Contracts; Copper; Data engineering; Educational institutions; Fluctuations; Helium; Statistical analysis; Statistics; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering, 2009. BIFE '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3705-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2009.169
  • Filename
    5208745