The institutional characteristics of multifractal spectrum of China's stock market

被引:11
作者
Li, Yong [1 ]
Vilela, Andre L. M. [2 ,3 ,4 ]
Stanley, H. Eugene [3 ,4 ]
机构
[1] China Univ Polit Sci & Law, Business Sch, Beijing 100085, Peoples R China
[2] Univ Pernambuco, Fis Mat, BR-50720001 Recife, PE, Brazil
[3] Boston Univ, Ctr Polymer Studies, Boston, MA 02215 USA
[4] Boston Univ, Dept Phys, Boston, MA 02215 USA
关键词
China; Shanghai stock exchange composite index (SSECI); Multifractal singularity spectrum; Market institutional conditions;
D O I
10.1016/j.physa.2019.124129
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
This paper investigates the fractal structure of China's stock market by calculating the multifractal singularity spectrum and comparing the scaling behavior of the bubble phase of eight abnormal volatilities with that of normal fluctuation on the timeline. We find robust evidence that the Shanghai Stock Exchange Composite Index has multifractal features in the bubble and normal fluctuation periods, where the higher multifractality is associated with a bubble and more unstable market. The short-sighted administrative policies cause over-supply of intervention, which enhances the multifractality and increases the instability of the stock market. The multifractal parameter set (alpha(0), Delta alpha, -B) might be used as a quantifier to characterize the status of the stock market. A policy aimed to improve the stability of the stock market should be devoted to optimizing the parameter set. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:12
相关论文
共 17 条
[1]   Efficiency, multifractality, and the long-memory property of the Bitcoin market: A comparative analysis with stock, currency, and gold markets [J].
Al-Yahyaee, Khamis Hamed ;
Mensi, Walid ;
Yoon, Seong-Min .
FINANCE RESEARCH LETTERS, 2018, 27 :228-234
[2]   Evidence of a random multifractal turbulent structure in the Dow Jones Industrial Average [J].
Andreadis, I ;
Serletis, A .
CHAOS SOLITONS & FRACTALS, 2002, 13 (06) :1309-1315
[3]  
[Anonymous], [No title captured]
[4]  
[Anonymous], 1998, 9809 FED RES BANK NE
[5]   Partition function based analysis of cosmic microwave background maps [J].
Diego, JM ;
Martínez-González, E ;
Sanz, JL ;
Mollerach, S ;
Martínez, VJ .
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 1999, 306 (02) :427-436
[6]   Multifractal properties of Chinese stock market in Shanghai [J].
Du, Guoxiong ;
Ning, Xuanxi .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2008, 387 (01) :261-269
[7]   A stochastic model for multifractal behavior of stock prices [J].
Fulco, UL ;
Lyra, ML ;
Petroni, F ;
Serva, M ;
Viswanathan, GM .
INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2004, 18 (4-5) :681-689
[8]   Multifractal analysis of Asian markets during 2007-2008 financial crisis [J].
Hasan, Rashid ;
Salim, Mohammad M. .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2015, 419 :746-761
[9]   Evidence of multi-affinity in the Japanese stock market [J].
Katsuragi, H .
PHYSICA A, 2000, 278 (1-2) :275-281
[10]   GEOMECHANICAL TIME SERIES AND ITS SINGULARITY SPECTRUM ANALYSIS [J].
Lyubushin, A. A. ;
Kalab, Z. ;
Lednicka, M. .
ACTA GEODAETICA ET GEOPHYSICA HUNGARICA, 2012, 47 (01) :69-77