Fitting of Impact of COVID-19 Pandemic on S&P 500 Index Using Random Walk

Shaomin Yan, Guang Wu
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引用次数: 2

Abstract

The outbreak of COVID-19 pandemic can be viewed as a surprise for its scale and impact. However, this pandemic may not be considered as a purely random event, because it is developing from a local epidemic to a global pandemic under everyone’s eyes. Although COVID-19 pandemic negatively impacts the world economy, to everyone’s surprise, the US stock market recovers rapidly from its initial heavy loss. For the sake of modeling, it is interesting to use a random walk model to fit S&P 500 index, which is designed as the aim of current study. The results show that the random walk model can somewhat fit the S&P 500 index, the shorter the time scale is, the better the fitting is. The results therefore demonstrate it impossible to use a single random seed to fit the S&P 500 index from different time segments.
新冠肺炎疫情对标普500指数影响的随机漫步拟合
COVID-19大流行的爆发因其规模和影响而令人惊讶。然而,这次大流行不可能被视为纯粹的随机事件,因为它正在大家的注视下从局部流行发展为全球大流行。尽管新冠肺炎疫情对世界经济造成负面影响,但出乎所有人意料的是,美国股市从最初的严重损失中迅速复苏。为了建模,使用随机游走模型拟合标准普尔500指数是一种有趣的方法,这也是本研究的目的。结果表明,随机游走模型能较好地拟合标准普尔500指数,时间尺度越短,拟合效果越好。因此,结果表明,不可能使用单个随机种子来拟合来自不同时间段的标准普尔500指数。
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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