摘要
创业板自上市以来,其高风险问题一直是学术界和实务界研究的重点问题。为精确度量创业板市场风险,将MCMC参数估计方法引入到随机波动率模型中,进而计算出基于随机波动率模型的创业板市场风险价值(VaR)。实证结果显示:在一天持有期内,在95%的置信水平下,创业板市场发生的最大损失不会超过3.19%;在99%的置信水平下,创业板市场的最大损失不会超过4.45%。此外本文还使用GARCH族模型对创业板市场的风险进行了辅助研究。
The high risk of the Growth Enterprise Market( GEM) has always been the significant point of the academia and the practice field. In order to measure the market risk of the GEM accurately,the author of this article introduces the MCMC parameter estimation method to SV model to calculate the VaR. The results show that: within one-day holding period,under the circumstance of 95% confidence level,the largest loss of GEM would not exceed 3. 19%. Meanwhile,under the circumstance of 99% confidence levels,the largest loss of GEM would not exceeds 4. 45%. Besides,the author also employs the GARCH patterns to assist the research on the risk of GEM.
出处
《怀化学院学报》
2016年第2期28-32,共5页
Journal of Huaihua University
基金
国家社会科学基金项目"聚类分析视角的多层次CPI指数构建研究"(14BTJ023)
全国统计科学研究计划项目"多层次CPI指数编制研究……以杭州市居民生活消费品面板数据为例"(2013LZ43)
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