西南交通大学学报:社会科学版
西南交通大學學報:社會科學版
서남교통대학학보:사회과학판
Journal of Southwest Jiaotong Universit(Social Science Edition)
2012年
5期
14~18
,共null页
沪深300指数 股指期货 收益率 相关关系 Copula函数
滬深300指數 股指期貨 收益率 相關關繫 Copula函數
호심300지수 고지기화 수익솔 상관관계 Copula함수
CSI300 stock index; CSI300 stock index futures; sequence of daily return; related coefficient ; copula function
沪深300股指期货推出后,其与沪深300指数的关系就引起投资者和研究者的关注。以沪深300指数和沪深300股指期货的日收益率数据为基础,运用Copula函数建立Copula.GARCH(1,1)-GED模型对两者进行相关性分析,结果表明:沪深300指数与股指期货收益率序列之间相关程度非常高,而通过比较秩相关系数的拟合情况,二元正态Copula函数更接近实际情况;在平方欧式距离的标准下,二元t-Copula模型能够更好地描述沪深300指数与沪深300股指期货日收益率序列的相关结构;两序列的尾部相关程度非常高,表明当股票市场大幅度波动时,沪深300指数与沪深300股指期货的相关程度显著提高。
滬深300股指期貨推齣後,其與滬深300指數的關繫就引起投資者和研究者的關註。以滬深300指數和滬深300股指期貨的日收益率數據為基礎,運用Copula函數建立Copula.GARCH(1,1)-GED模型對兩者進行相關性分析,結果錶明:滬深300指數與股指期貨收益率序列之間相關程度非常高,而通過比較秩相關繫數的擬閤情況,二元正態Copula函數更接近實際情況;在平方歐式距離的標準下,二元t-Copula模型能夠更好地描述滬深300指數與滬深300股指期貨日收益率序列的相關結構;兩序列的尾部相關程度非常高,錶明噹股票市場大幅度波動時,滬深300指數與滬深300股指期貨的相關程度顯著提高。
호심300고지기화추출후,기여호심300지수적관계취인기투자자화연구자적관주。이호심300지수화호심300고지기화적일수익솔수거위기출,운용Copula함수건립Copula.GARCH(1,1)-GED모형대량자진행상관성분석,결과표명:호심300지수여고지기화수익솔서렬지간상관정도비상고,이통과비교질상관계수적의합정황,이원정태Copula함수경접근실제정황;재평방구식거리적표준하,이원t-Copula모형능구경호지묘술호심300지수여호심300고지기화일수익솔서렬적상관결구;량서렬적미부상관정도비상고,표명당고표시장대폭도파동시,호심300지수여호심300고지기화적상관정도현저제고。
The author uses the data of daily return of CSI300 stock index futures and the spot index to study the relationship between the CSI300 stock index futures and the underlying spot index in China. The edge distribution model to each series is established, and we find GARCH (1, 1 )-GED model is more practicable. On this basis the Copula Model is established. The results of the empirical analysis show that the degree of correlation between CSI300 index and CSI300 stock index futures is very high. Through the comparison of the rank correlation, the two dimensional normal Copula is closer to the practical situation. The standard in Euclidean distance, two dimensional t-Copula can better describe the relation structures between the two series. The two series are highly related in tail and when the stock market fluctuates substantially, the relevance of CSI300 index and CSI300 stock index futures increases significantly.