Statistical physics in foreign exchange currency and stock markets

被引:133
作者
Ausloos, M [1 ]
机构
[1] Univ Liege, B5, SUPRAS, B-4000 Liege, Belgium
[2] Univ Liege, GRASP, B-4000 Liege, Belgium
来源
PHYSICA A | 2000年 / 285卷 / 1-2期
关键词
stock market; financial analysis; fractional Brownian motion; power law correlations;
D O I
10.1016/S0378-4371(00)00271-5
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Problems in economy and finance have attracted the interest of statistical physicists all over the world. Fundamental problems pertain to the existence or not of long-, medium- or/and short-range power-law correlations in various economic systems, to the presence of financial cycles and on economic considerations, including economic policy. A method like the detrended fluctuation analysis is recalled emphasizing its value in sorting out correlation ranges, thereby leading to predictability at short horizon. The (m,k)-Zipf method is presented for sorting out short-range correlations in the sign and amplitude of the fluctuations. A well-known financial analysis technique, the so-called moving average, is shown to raise questions to physicists about fractional Brownian motion properties. Among spectacular results, the possibility of crash predictions has been demonstrated through the log-periodicity of financial index oscillations. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:48 / 65
页数:18
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