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Statistical physics in foreign exchange currency and stock markets

机译:外汇货币和股票市场中的统计物理学

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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. [References: 55]
机译:经济和金融问题引起了全世界统计物理学家的兴趣。基本问题涉及各种经济系统中是否存在长距离,中距离或短距离的幂律相关性,金融周期的存在以及包括经济政策在内的经济因素。召回了像去趋势波动分析之类的方法,该方法着重强调了其在整理相关范围内的价值,从而导致了短期内的可预测性。提出了(m,k)-Zipf方法,用于分类波动的正负号和幅度中的短程相关性。众所周知的一种财务分析技术,即所谓的移动平均线,向物理学家提出了有关分数布朗运动性质的问题。在惊人的结果中,崩溃预测的可能性已经通过金融指数振荡的对数周期得到了证明。 (C)2000 Elsevier Science B.V.保留所有权利。 [参考:55]

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