• DocumentCode
    571364
  • Title

    EVT-based Risk Measurement of Ownership-Thematic Investment in China

  • Author

    Li, Xuchao ; Zheng, Chengli

  • Author_Institution
    Sch. of Econ., Central China Normal Univ., Wuhan, China
  • fYear
    2012
  • fDate
    18-21 Aug. 2012
  • Firstpage
    186
  • Lastpage
    190
  • Abstract
    To model Chinese ownership-thematic investment, EVT (Extreme Value Theory) is applied in this paper with examples of three typical stock indexes. To characterize the distribution of the selected indexes, POT (Peaks Over Threshold) model is utilized to fit the tails of the distributions. Then VaR and CVaR are computed through the estimated parameters. Empirical results shows that POT model can fit tails of return rates of the indexes quite well; VaR are valid at high confidence levels such as 99% and 95% based on LR test but not at lower levels like 90%; with respect to CVaR, SSE Local State-owned 50 index is characterized with the greatest risk, SSE Private-owned 50 index comes the second while SSE Central SOEs 50 index shows the least risk relatively. POT model of EVT is an applicable method to measure risks of Chinese ownership-thematic investment.
  • Keywords
    investment; parameter estimation; risk management; stock markets; CVaR; Chinese ownership-thematic investment; EVT-based risk measurement; LR test; POT model; SSE Central SOE 50 index; SSE Local State-owned 50 index; SSE Private-owned 50 index; VaR; extreme value theory; index distribution characterization; parameter estimation; peaks over threshold model; return rates; stock index; Economics; Equations; Indexes; Investments; Mathematical model; Reactive power; Time series analysis; CVaR; EVT; LR test; POT; 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.2012.47
  • Filename
    6305108