Apple, Microsoft, Amazon and Google - A Correlation Analysis: Evidence from a DCC-GARCH Model

Christoph Koser, Juergen Klaus
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引用次数: 1

Abstract

In this paper, we examine time-varying correlations among stock returns of Apple, Microsoft, Amazon and Google. Employing a multivariate DCC-GARCH model, we find that there are strong linkages among these four assets. Starting from lower levels, correlation values for most asset pairs exhibit a stable ascending movement in recent upward trended markets to, in an exceptional case, almost hit the perfect positive correlation mark. We show that correlations among these assets jump during downturn market periods, suggesting limits in the diversification of risk within the segment of large cap U.S. technology stocks. Our results are helpful for portfolio management and asset allocation.
苹果、微软、亚马逊和谷歌——相关性分析:来自DCC-GARCH模型的证据
本文研究了苹果、微软、亚马逊和谷歌股票收益的时变相关性。采用多元DCC-GARCH模型,我们发现这四种资产之间存在很强的联系。从较低的水平开始,大多数资产对的相关值在最近的上升趋势市场中表现出稳定的上升趋势,在例外情况下,几乎达到完美的正相关标志。我们的研究表明,在市场低迷时期,这些资产之间的相关性会大幅上升,这表明美国大型科技股在风险分散方面存在局限性。研究结果对投资组合管理和资产配置具有指导意义。
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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