• DocumentCode
    2337148
  • Title

    The application of VAR model in the empirical study on steel futures price discovery

  • Author

    Zhang, Minghong ; Zhang, Zhenbo

  • Author_Institution
    Dept. of Public Finance, Xiamen Univ., Xiamen, China
  • fYear
    2012
  • fDate
    3-5 June 2012
  • Firstpage
    359
  • Lastpage
    361
  • Abstract
    In order to discuss the price discovery function of steel future, this paper made an empirical study with weekly data of rebar future price and spot price, which was by means of Johansen cointegration test, Granger causality test, Variance decomposition and Impulse response function basing on VAR model. It was found that there was long-run equilibrium relationship and Granger leading relationship between the two price series. Furthermore, it was proved that futures price shares a higher part of total variance than spot price by variance decomposition, and in short term both the future price and spot price made a stronger reaction to the standard difference innovation of future price than that of spot price. Therefore, this article illuminated that rebar futures plays a more important role in price discovery.
  • Keywords
    pricing; rebar; regression analysis; steel; Granger causality test; Granger leading relationship; Johansen cointegration test; VAR model; empirical study; equilibrium relationship; impulse response function; price series; steel future price discovery; steel rebar future price; steel rebar spot price; variance decomposition; vector autoregression model; Analytical models; Contracts; Reactive power; Standards; Steel; Stochastic processes; Technological innovation; Price discovery; Steel futures; VAR model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Applications (ISRA), 2012 IEEE Symposium on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4673-2205-8
  • Type

    conf

  • DOI
    10.1109/ISRA.2012.6219198
  • Filename
    6219198