• DocumentCode
    571370
  • Title

    Measurement and Analysis on the Risk of China Stock Market under Different Economic Systems

  • Author

    Yang, Jianhui ; Zhang, Ranxin

  • Author_Institution
    Sch. of Bus. Adm., South China Univ. of Technol., Guangzhou, China
  • fYear
    2012
  • fDate
    18-21 Aug. 2012
  • Firstpage
    214
  • Lastpage
    218
  • Abstract
    With the rapid development of global financial markets, the volatility of these markets is further exacerbated. Under the influence of global finance, the volatility of China´s stock market increased. Investors have to suffer more risks by the growing volatility. A good way to measure the risk is quite necessary. In this paper we selected mainland China, Hong Kong, Taiwan´s stock index return rates as the research objects to analyze the risk of China stock market under different economic systems. Considering the peak and fat-tail characteristics of the stock index return sequences, we established the VaR calculation which based on the GARCH model to make empirical research on these three stock indexes, and also verified the accuracy of VaR values. This study finds that the measurement of risk based on GARCH model is valid, and also analyzes the relationship between different measurement effects and economic systems.
  • Keywords
    risk analysis; stock markets; China stock market; GARCH model; Hong Kong stock index return rates; Taiwan stock index return rates; VaR calculation; economic systems; global financial markets; mainland China stock index return rates; measurement effects; risk analysis; risk measurement; Analytical models; Fluctuations; Indexes; Mathematical model; Reactive power; Stock markets; Different economic systems; GARCH; VaR;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Business Intelligence and Financial Engineering (BIFE), 2012 Fifth International Conference on
  • Conference_Location
    Lanzhou
  • Print_ISBN
    978-1-4673-2092-4
  • Type

    conf

  • DOI
    10.1109/BIFE.2012.53
  • Filename
    6305114