Multifractal behavior of the Korean stock-market index KOSPI

被引:47
作者
Lee, JW [1 ]
Lee, KE
Rikvold, PA
机构
[1] Inha Univ, Dept Phys, Inchon 402751, South Korea
[2] Florida State Univ, Sch Computat Sci, Tallahassee, FL 32306 USA
[3] Florida State Univ, Dept Phys, Ctr Mat Res & Technol, Tallahassee, FL 32306 USA
[4] Florida State Univ, Natl High Magnet Field Lab, Tallahassee, FL 32306 USA
基金
美国国家科学基金会;
关键词
econophysics; multiscaling; multifractal; stock market;
D O I
10.1016/j.physa.2005.08.082
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
We investigate multifractality in the Korean stock-market index KOSPI. The generalized qth order height-height correlation function shows multiscaling properties. There are two scaling regimes with a crossover time around t(c) = 40 min. We consider the original data sets and the modified data sets obtained by removing the daily jumps, which occur due to the difference between the closing index and the opening index. To clarify the origin of the multifractality, we also smooth the data through convolution with a Gaussian function. After convolution we observe that the multifractality disappears in the short-time scaling regime t < t(c), but remains in the long-time scaling regime t > t(c), regardless of whether or not the daily jumps are removed. We suggest that multifractality in the short-time scaling regime is caused by the local fluctuations of the stock index. But the multifractality in the long-time scaling regime appears to be due to the intrinsic trading properties, such as herding behavior, information outside the market, the long memory of the volatility, and the nonlinear dynamics of the stock market. (c) 2005 Elsevier B.V. All rights reserved.
引用
收藏
页码:355 / 361
页数:7
相关论文
共 42 条
[1]   Multifractal Hurst analysis of crude oil prices [J].
Alvarez-Ramirez, J ;
Cisneros, M ;
Ibarra-Valdez, C ;
Soriano, A .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2002, 313 (3-4) :651-670
[2]   Multifractal nature of stock exchange prices [J].
Ausloos, M ;
Ivanova, K .
COMPUTER PHYSICS COMMUNICATIONS, 2002, 147 (1-2) :582-585
[3]  
Bachelier L., 1900, ANN SCI ECOLE NORM S, V17, P21
[4]   Stochastic cellular automata model for stock market dynamics [J].
Bartolozzi, M ;
Thomas, AW .
PHYSICAL REVIEW E, 2004, 69 (04) :7
[5]   Self-averaging phenomenon and multiscaling in Hong Kong stock market [J].
Bershadskii, A .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2003, 317 (3-4) :591-596
[6]   Multifractal diffusion in NASDAQ [J].
Bershadskii, A .
JOURNAL OF PHYSICS A-MATHEMATICAL AND GENERAL, 2001, 34 (10) :L127-L130
[7]   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)
[8]  
Bouchaud J.-P., 2000, Theory of Financial Risks: From Statistical Physics to Risk Management
[9]  
BOUCHAUD JP, 1994, J PHYS I, V4, P863
[10]   Surface scaling analysis of hydrogels:: From multiaffine to self-affine scaling [J].
Buendía, GM ;
Mitchell, SJ ;
Rikvold, PA .
MICROELECTRONICS JOURNAL, 2005, 36 (10) :913-916