Journal of Systems & Management ›› 2020, Vol. 29 ›› Issue (2): 213-223.DOI: 10.3969/j.issn.1005-2542.2020.02.002
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QIN Xuezhi, GUO Ming
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秦学志,郭明
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Abstract: In this paper, a multivariate conditional extreme value model was built to examine the tail dependence of prices of stock index spots and futures. First of all, a SV-POT model was adopted to describe the marginal distributions of the returns of two assets. Then, the multivariate conditional extreme value model was utilized to describe the dependence structure of the two distributions. The practical results show that there is a significant positive correlation between the lower tail of the two returns and the degree of conditional dependence is more than 80%, which can be treated as a homogeneous market.
Key words: tail dependence, multivariate conditional extreme value model, stochastic volatility, extreme value theory
摘要: 运用多元条件极值模型研究了沪深300股指期货与现货指数之间的下尾部相依关系。通过先构建随机波动-超阈值(SV-POT)模型描述两种资产收益的边缘分布,再建立多元条件极值模型对分布下尾部的相依结构进行研究。实证结果表明:两个收益的下尾存在显著为正的相依关系且条件相依程度都在80%以上,但相差不大,两者可以看成是一个同质的市场。
关键词: 下尾部相依性, 多元条件极值模型, 随机波动率, 极值理论
CLC Number:
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QIN Xuezhi, GUO Ming. Lower Tail Dependence of Stock Index Spots and Futures Based on Multivariate Conditional Extreme Value Model[J]. Journal of Systems & Management, 2020, 29(2): 213-223.
秦学志, 郭明. 基于多元条件极值模型的股指期货与现货下尾部相依性研究[J]. 系统管理学报, 2020, 29(2): 213-223.
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URL: https://xtglxb.sjtu.edu.cn/EN/10.3969/j.issn.1005-2542.2020.02.002
https://xtglxb.sjtu.edu.cn/EN/Y2020/V29/I2/213