宏观股票市场模型:走向预测金融崩溃

Abdullah AlShelahi, R. Saigal
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引用次数: 1

摘要

本研究考察了[AlShelahi and Saigal, 2018]中引入的宏观模型的结构特性。我们对宏观变量的行为进行了理论分析。特别是,我们表明该模型展示了类似冲击的解决方案,为金融冲击提供了一种新的叙述。为了自适应求解随机非线性偏微分方程组,设计了一种综合算法,并对异常交易日和正常交易日进行了测试。结果表明,可以在撞车前识别出异常情况。我们的发现为进一步研究股票市场的宏观结构提供了依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Macroscopic Equity Markets Model: Towards Predicting Financial Crashes
This research examines the structural properties of the macroscopic model introduced in [AlShelahi and Saigal, 2018]. We present a theoretical analysis of the behavior of the macroscopic variables. In particular, we show that the model exhibits shock-like solutions, providing a new narrative for financial shocks. To solve the system of stochastic nonlinear partial differential equations adaptively, an integrative algorithm is devised and tested on abnormal and normal trading days. The results suggest that abnormalities can be identified before crashes. Our findings warrant further investigation into the macroscopic structure of equity markets.
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