Economic System Research by Using Statistical Physics

A. Park, G. Oh
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Abstract

Physicists’ research in finance and economics began in the 1990s and has been applied to the challenges of this field ever since. One of the challenging issues of econophysics is to answer the questions: Can we solve the economic challenges? How does the statistical physics method contribute with the problem in the asset pricing model? How does the economics network structure and the global financial crisis co-evolve? To answer that questions, several theoretical and empirical studies have already been conducted on the anomalous phenomena of the economy and financial markets. Moreover, at the forefront of recent financial crisis research, extensive and rapid development has been achieved by combining text information and machine learning methodologies. Here, we discuss financial time series analysis and outline the future prospects for econophysics research.
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用统计物理学研究经济系统
物理学家对金融和经济学的研究始于20世纪90年代,并一直应用于该领域的挑战。经济物理学中最具挑战性的问题之一是回答以下问题:我们能解决经济挑战吗?统计物理方法如何解决资产定价模型中的问题?经济网络结构与全球金融危机是如何共同演变的?为了回答这些问题,已经对经济和金融市场的反常现象进行了一些理论和实证研究。此外,在最近的金融危机研究的前沿,通过将文本信息与机器学习方法相结合,取得了广泛而快速的发展。在此,我们讨论了金融时间序列分析,并概述了经济物理学研究的未来前景。
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