Detrended fluctuation analysis of intertrade durations

被引:45
作者
Jiang, Zhi-Qiang [1 ,2 ]
Chen, Wei [3 ]
Zhou, Wei-Xing [1 ,2 ,4 ,5 ]
机构
[1] E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China
[2] E China Univ Sci & Technol, Sch Sci, Shanghai 200237, Peoples R China
[3] Shenzhen Stock Exchange, Shenzhen 518010, Peoples R China
[4] E China Univ Sci & Technol, Res Ctr Econophys, Shanghai 200237, Peoples R China
[5] E China Univ Sci & Technol, Engn Res Ctr Proc Syst Engn, Minist Educ, Shanghai 200237, Peoples R China
基金
中国国家自然科学基金;
关键词
Econophysics; Intertrade duration; Intraday pattern; Long memory; Multifractal nature; BID-ASK SPREADS; AUTOREGRESSIVE CONDITIONAL DURATION; FLIGHT SEARCH PATTERNS; TIME RANDOM-WALK; WAITING-TIMES; STOCK-MARKET; EMPIRICAL DISTRIBUTION; FRACTIONAL CALCULUS; INTRADAY PATTERNS; INTEREVENT TIME;
D O I
10.1016/j.physa.2008.10.028
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The intraday pattern, long memory, and multifractal nature of the intertrade durations, which are defined as the waiting times between two consecutive transactions, are investigated based upon the limit order book data and order flows of 23 liquid Chinese stocks listed on the Shenzhen Stock Exchange in 2003. An inverse U-shaped intraday pattern in the intertrade durations with an abrupt drop in the first minute of the afternoon trading is observed. Based on a detrended fluctuation analysis, we find a crossover of power-law scaling behaviors for small box sizes (trade numbers in boxes) and large box sizes and strong evidence in favor of long memory in both regimes. In addition, the multifractal nature of intertrade durations in both regimes is confirmed by a multifractal detrended fluctuation analysis for individual stocks with a few exceptions in the small-duration regime. The intraday pattern has little influence on the long memory and multifractality. (C) 2008 Elsevier B.V. All rights reserved.
引用
收藏
页码:433 / 440
页数:8
相关论文
共 62 条
[1]   A Theory of Intraday Patterns: Volume and Price Variability [J].
Admati, Anat R. ;
Pfleiderer, Paul .
REVIEW OF FINANCIAL STUDIES, 1988, 1 (01) :3-40
[2]  
Anatolyev S., 2007, APPL FINANCIAL EC, V17, P87, DOI 10.1080/09603100600606123
[3]  
Andersen T. G., 1997, J EMPIR FINANC, V4, P115, DOI DOI 10.1016/S0927-5398(97)00004-2
[4]  
[Anonymous], 1997, Journal of Empirical Finance
[5]   The origin of bursts and heavy tails in human dynamics [J].
Barabási, AL .
NATURE, 2005, 435 (7039) :207-211
[6]  
Bartiromo R, 2004, PHYS REV E, V69, DOI 10.1103/PhysRevE.69.067108
[7]   The stochastic conditional duration model: a latent variable model for the analysis of financial durations [J].
Bauwens, L ;
Veredas, D .
JOURNAL OF ECONOMETRICS, 2004, 119 (02) :381-412
[8]  
Bauwens L., 2000, Annales d'economie et de Statistique, V60, P117, DOI [DOI 10.2307/20076257, 10.2307/20076257]
[9]   The scaling laws of human travel [J].
Brockmann, D ;
Hufnagel, L ;
Geisel, T .
NATURE, 2006, 439 (7075) :462-465
[10]  
CHAN KC, 1995, J BUS, V68, P35, DOI 10.1086/296652