• DocumentCode
    2839322
  • Title

    Whether Stock Market Structure Will Influence the Outcome of Pure Statistical Pairs Trading?

  • Author

    Mai, Yongguan ; Wang, Susheng

  • Author_Institution
    Shenzhen Grad. Sch., Harbin Inst. of Technol., Shenzhen, China
  • Volume
    3
  • fYear
    2011
  • fDate
    26-27 Nov. 2011
  • Firstpage
    291
  • Lastpage
    294
  • Abstract
    To investigate whether stock market structure wll influence the outcome of pure statistical pairs trading, explore how much the effect is, the article based on Shanghai, Shenzhen stock market in China, Hong Kong stock market from 2004 to 2010, implemented the GGR trading strategy, paired the sample stocks with pure statistical pairs trading method, calculated the statistical characters and the Annual Rate of Return. It was discovered that most of the statistical characters in the the three markets were different. On one side as we all regarded, the more efficient the stock market was, the less profit the pairs trading could get, the trading outcome in Hong Kong stock market had confirmed that the efficient market was not fit for pairs trading. On the other hand in contrast to our regard, HSI´s mean position time was longer than SSE´s in Shanghai and as SCI´s in Shenzhen. The position time in efficient stock market was not necessary less than the position time in developing markets. Stock market structure could influence the outcome of pure statistical pairs trading. We could improve the outcome of the pure statistical pairs trading by choosing the counties and stock markets. Pure statistical pairs trading was fit to be executed in the less efficient stock markets. But why and how the stock market influence the outcome of pure statistical pairs trading would be the further and harder topics to be investigated.
  • Keywords
    commerce; statistical analysis; stock markets; China; Hong Kong stock market; Shanghai; Shenzhen stock market; annual rate of return; statistical pairs trading; stock market structure; Companies; Correlation; Europe; History; Indexes; Logic gates; Stock markets; hedge; pairs trading; statistical arbitrage; statistical character;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2011 International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-61284-450-3
  • Type

    conf

  • DOI
    10.1109/ICIII.2011.352
  • Filename
    6116927