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Linking market interaction intensity of 3D Ising type financial model with market volatility

机译:将3D Ising型金融模型的市场互动强度与市场波动性联系起来

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Microscopic interaction models in physics have been used to investigate the complex phenomena of economic systems. The simple interactions involved can lead to complex behaviors and help the understanding of mechanisms in the financial market at a systemic level. This article aims to develop a financial time series model through 3D (three-dimensional) Ising dynamic system which is widely used as an interacting spins model to explain the ferromagnetism in physics. Through Monte Carlo simulations of the financial model and numerical analysis for both the simulation return time series and historical return data of Hushen 300 (HS300) index in Chinese stock market, we show that despite its simplicity, this model displays stylized facts similar to that seen in real financial market. We demonstrate a possible underlying link between volatility fluctuations of real stock market and the change in interaction strengths of market participants in the financial model. In particular, our stochastic interaction strength in our model demonstrates that the real market may be consistently operating near the critical point of the system. (C) 2016 Elsevier B.V. All rights reserved.
机译:物理学中的微观相互作用模型已用于研究经济系统的复杂现象。所涉及的简单交互会导致复杂的行为,并有助于系统地理解金融市场中的机制。本文旨在通过3D(三维)伊辛动力学系统开发一个金融时间序列模型,该系统被广泛用作相互作用的自旋模型来解释物理学中的铁磁性。通过对金融模型的蒙特卡洛模拟以及对中国股市沪深300(HS300)指数的模拟收益时间序列和历史收益数据的数值分析,我们表明,尽管模型简单,但该模型仍显示出与实际情况类似的风格化事实。在真实的金融市场中。我们证明了真实股票市场的波动性波动与金融模型中市场参与者互动强度的变化之间可能存在潜在的联系。特别是,我们模型中的随机交互强度表明,实际市场可能一直在系统的临界点附近持续运行。 (C)2016 Elsevier B.V.保留所有权利。

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