Cross-correlations between Chinese A-share and B-share markets

被引:162
作者
Wang, Yudong [1 ]
Wei, Yu [2 ]
Wu, Chongfeng [1 ]
机构
[1] Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Shanghai 200030, Peoples R China
[2] SW Jiaotong Univ, Sch Econ & Management, Chengdu, Sichuan Prov, Peoples R China
基金
中国国家自然科学基金;
关键词
Chinese stock markets; Cross-correlations; Detrended cross-correlation analysis; Rolling windows; DETRENDED FLUCTUATION ANALYSIS; LONG-RANGE DEPENDENCE; LOCAL HURST EXPONENT; CRUDE-OIL MARKETS; TIME-SERIES; VOLUME;
D O I
10.1016/j.physa.2010.08.029
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, we investigate the cross-correlations between Chinese A-share and B-share markets. Qualitatively, we find that the return series of Chinese A-share and B-share markets were overall significantly cross-correlated based on the analysis of a statistic. Quantitatively, employing the detrended cross-correlation analysis, we find that the cross-correlations were strongly multifractal in the short-term and weakly multifractal in the long-term. Moreover, the cross-correlations of small fluctuations were persistent and those of large fluctuations were anti-persistent in the short-term while cross-correlations of all kinds of fluctuations were persistent in the long-term. Using the method of rolling windows, we find that the cross-correlations were weaker and weaker over time, especially after the price-limited reform. We attribute the fact to the improvement of market efficiency. On the volatility series, our results show that the cross-correlations were much stronger than those between return series. Results from rolling windows show that the short-term cross-correlations between volatility series are still high now. We also provide some relevant discussions later. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码:5468 / 5478
页数:11
相关论文
共 31 条
[1]   Time-varying Hurst exponent for US stock markets [J].
Alvarez-Ramirez, Jose ;
Alvarez, Jesus ;
Rodriguez, Eduardo ;
Fernandez-Anaya, Guillermo .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (24) :6159-6169
[2]   Short-term predictability of crude oil markets: A detrended fluctuation analysis approach [J].
Alvarez-Ramirez, Jose ;
Alvarez, Jesus ;
Rodriguez, Eduardo .
ENERGY ECONOMICS, 2008, 30 (05) :2645-2656
[3]   Topology of correlation-based minimal spanning trees in real and model markets [J].
Bonanno, G ;
Caldarelli, G ;
Lillo, F ;
Mantegna, RN .
PHYSICAL REVIEW E, 2003, 68 (04)
[4]   Testing for time-varying long-range dependence in volatility for emerging markets [J].
Cajueiro, DO ;
Tabak, BM .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2005, 346 (3-4) :577-588
[5]   The Hurst exponent over time: testing the assertion that emerging markets are becoming more efficient [J].
Cajueiro, DO ;
Tabak, BM .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2004, 336 (3-4) :521-537
[6]   Can one make any crash prediction in finance using the local Hurst exponent idea? [J].
Grech, D ;
Mazur, Z .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2004, 336 (1-2) :133-145
[7]   The local Hurst exponent of the financial time series in the vicinity of crashes on the Polish stock exchange market [J].
Grech, Dariusz ;
Pamula, Grzegorz .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (16-17) :4299-4308
[8]   Multifractal detrended fluctuation analysis of nonstationary time series [J].
Kantelhardt, JW ;
Zschiegner, SA ;
Koscielny-Bunde, E ;
Havlin, S ;
Bunde, A ;
Stanley, HE .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2002, 316 (1-4) :87-114
[10]   Time-dependent cross-correlations between different stock returns:: A directed network of influence -: art. no. 026125 [J].
Kullmann, L ;
Kertész, J ;
Kaski, K .
PHYSICAL REVIEW E, 2002, 66 (02)