Critical fluctuations observed in collective human behaviors

M. Takayasu
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Abstract

By analyzing order-book data of the foreign exchange market, Empirical facts of real market fluctuations are summarized. Then, we introduce numerical experiments using an artificial market model consisted of algorithmic dealers. Finally, we show that a generalized Langevin equation nearly the critical point is a promising theoretical model which can describe not only microscopic market properties but also macroscopic human behaviors typically observed in the period of hyper-inflation. The origins of both long-tailed distribution of price fluctuations and the dynamical motions of bubbles and crashes will be discussed from the viewpoint of physics.
在人类集体行为中观察到的临界波动
通过对外汇市场订单数据的分析,总结出真实市场波动的经验事实。然后,我们引入了一个由算法交易商组成的人工市场模型的数值实验。最后,我们证明了一个接近临界点的广义朗之万方程是一个很有前途的理论模型,它不仅可以描述微观的市场特性,而且可以描述在恶性通货膨胀时期典型的宏观人类行为。本文将从物理学的角度讨论价格波动的长尾分布和泡沫与崩盘的动态运动的起源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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