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Statistical physics model for the collective price fluctuations of portfolios

机译:投资组合集体价格波动的统计物理模型

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A statistical physics model for the collective price changes of stock portfolios is propose; it is an analogue to the spin glass model for a disordered magnetic system. In this model the time series of price changes are coded into the sequences of up and down spins. The Hamiltonian of the system is expressed by long-range spin-spin interactions as in the Sherrington-Kirkpatrick model of spin glass (D. Sherrington and S. Kirkpatrick, 1975). The interaction coefficients between two stocks are determined by empirical data using fluctuation-response theorem. Our theory is applied to price changes of stocks in the Dow-Jones industrial portfolio. Monte Carlo simulations are performed based on the model. The resultant probability distributions of magnetization show good agreement with empirical data.
机译:提出了股票投资组合整体价格变动的统计物理模型。它类似于无序磁系统的自旋玻璃模型。在此模型中,价格变化的时间序列被编码为上下旋转的序列。该系统的哈密顿量由远程自旋-自旋相互作用表示,如自旋玻璃的Sherrington-Kirkpatrick模型(D. Sherrington和S.Kirkpatrick,1975)。使用波动响应定理,通过经验数据确定两只股票之间的相互作用系数。我们的理论适用于道琼斯工业投资组合中的股票价格变化。基于模型执行蒙特卡洛模拟。所得的磁化概率分布与经验数据显示出良好的一致性。

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