MULTISCALE CROSS SAMPLE ENTROPY ANALYSIS FOR CHINA STOCK MARKETS AND INTERNATIONAL CRUDE OIL PRICE

被引:0
作者
Wang, Xudong [1 ]
Hui, Xiaofeng [1 ]
机构
[1] Harbin Inst Technol, Sch Management, Harbin 150001, Heilongjiang, Peoples R China
来源
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON TRANSFORMATIONS AND INNOVATIONS IN MANAGEMENT (ICTIM 2017) | 2017年 / 37卷
关键词
multiscale cross sample entropy; stock market; crude oil price; COPULA APPROACH; US; SHOCKS; IMPACT; DEPENDENCE; COMPLEXITY; CONTAGION; MODEL;
D O I
暂无
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper presents multiscale cross sample entropy (MSCE) analysis for the synchrony relationship between China stock markets and international crude oil price. Shanghai and Shenzhen Stock Exchange (SSE, SZSE) Composite Indexes are used to represent China stock markets. WTI (West Texas Intermediate grade) and Europe Brent crude oil spot price is employed as benchmark for international oil price. MSCE is calculated and analyzed with different parameters. The results show that the MSCE between the stock indexes and the oil price decreases as the time scale increases. It implies that they are more synchronous at greater time scale. Under the same condition, the MSCE between SSE and oil price is smaller than the value between SZSE and oil price. This indicates that SSE is more synchronized with world oil price than SZSE. Meanwhile, the MSCE of WTI and stock markets is smaller than the value of Brent oil price and stock markets. This suggests that China stock markets are more synchronized with WTI than Brent oil price.
引用
收藏
页码:715 / 724
页数:10
相关论文
共 24 条
[1]   A time-varying copula approach to oil and stock market dependence: The case of transition economies [J].
Aloui, Riadh ;
Hammoudeh, Shawkat ;
Duc Khuong Nguyen .
ENERGY ECONOMICS, 2013, 39 :208-221
[2]   Oil price uncertainty and the US stock market analysis based on a GARCH-in-mean VAR model [J].
Alsalman, Zeina .
ENERGY ECONOMICS, 2016, 59 :251-260
[3]   Regime switching model of US crude oil and stock market prices: 1859 to 2013 [J].
Balcilar, Mehmet ;
Gupta, Rangan ;
Miller, Stephen M. .
ENERGY ECONOMICS, 2015, 49 :317-327
[4]   Extreme values in the Chinese and American stock markets based on detrended fluctuation analysis [J].
Cao, Guangxi ;
Zhang, Minjia .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 436 :25-35
[5]   Dynamic correlation analysis of financial contagion: Evidence from Asian markets [J].
Chiang, Thomas C. ;
Jeon, Bang Nam ;
Li, Huimin .
JOURNAL OF INTERNATIONAL MONEY AND FINANCE, 2007, 26 (07) :1206-1228
[6]   The impact of global oil price shocks on the Lebanese stock market [J].
Dagher, Leila ;
El Hariri, Sadika .
ENERGY, 2013, 63 :366-374
[7]   Voice disorders assessed by (cross-) Sample Entropy of electroglottogram and microphone signals [J].
Fabris, Chiara ;
De Colle, Wladimiro ;
Sparacino, Giovanni .
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2013, 8 (06) :920-926
[8]   Linking the gas and oil markets with the stock market: Investigating the US relationship [J].
Gatfaoui, Hayette .
ENERGY ECONOMICS, 2016, 53 :5-16
[9]   Co-movement of international crude oil price and Indian stock market: Evidences from nonlinear cointegration tests [J].
Ghosh, Sajal ;
Kanjilal, Kakali .
ENERGY ECONOMICS, 2016, 53 :111-117
[10]   Pattern synchrony in electrical signals related to earthquake activity [J].
Hernandez-Perez, R. ;
Guzman-Vargas, L. ;
Ramirez-Rojas, A. ;
Angulo-Brown, F. .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2010, 389 (06) :1239-1252