侍 成, 赵行为. 不同GARCH模型对股市风险价值评价的比较研究[J]. 内江师范学院学报, 2016, (6): 19-23. DOI: 10.13603/j.cnki.51-1621/z.2016.06.004
    引用本文: 侍 成, 赵行为. 不同GARCH模型对股市风险价值评价的比较研究[J]. 内江师范学院学报, 2016, (6): 19-23. DOI: 10.13603/j.cnki.51-1621/z.2016.06.004
    SHI Cheng, ZHAO Xing-wei. The Calculation of VaR in Stock Market Based on Garch Type Models Comparison[J]. Journal of Neijiang Normal University, 2016, (6): 19-23. DOI: 10.13603/j.cnki.51-1621/z.2016.06.004
    Citation: SHI Cheng, ZHAO Xing-wei. The Calculation of VaR in Stock Market Based on Garch Type Models Comparison[J]. Journal of Neijiang Normal University, 2016, (6): 19-23. DOI: 10.13603/j.cnki.51-1621/z.2016.06.004

    不同GARCH模型对股市风险价值评价的比较研究

    The Calculation of VaR in Stock Market Based on Garch Type Models Comparison

    • 摘要: 通过给出了四种GARCH模型(GARCH-t、EGARCH-t、GJR-GARCHt、Beta-Skew-t-EGARCH),进而实例研究了对数收益率序列的一系列特征,计算了基于不同GARCH模型下的风险价值,并对计算出的风险价值进行了Kupiec检验.通过比较发现GJR-GARCH-t模型计算VaR更为准确,而Bata-Skew-t-EGARCH模型对股市反应较为敏感,在计算VaR上也有一定的优越性.

       

      Abstract: VaR(value at risk)is a widely-used standard to measure risks in the financial market. By working out four GARCH type models(GARCH-t; EGARCH-t; GJR- GARCH-t; Beta-Skew-t-EGARCH), an empirical study is made of a series of features concerning the logarithmic Return Rate of the four models, and a Kupiec test is then made to verify the VaRs results so as to find out about which model fits best in the reality.

       

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