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Increased correlation among asset classes: Are volatility or jumps to blame, or both?

机译:资产类别之间的相关性越来越高:是波动性还是要归咎于这两者?

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摘要

We develop estimators and asymptotic theory to decompose the quadratic covariation between two assets into its continuous and jump components, in a manner that is robust to the presence of market microstructure noise. Using high frequency data on different assets classes, we find that the recent financial crisis led to an increase in both the quadratic variations of the assets and their correlations. However, we find little evidence to suggest a change between the relative contributions of the Brownian and jump components, as both comove. Co-jumps stem from surprising news announcements that occur primarily before the opening of the US market, and are also accompanied by an increase in Brownian driven correlations. (C) 2016 Elsevier B.V. All rights reserved.
机译:我们开发了估计器和渐近理论,以将两种资产之间的二次协方差分解为连续的和跳跃的分量,从而对市场微观结构的噪声具有鲁棒性。使用有关不同资产类别的高频数据,我们发现最近的金融危机导致资产的二次方及其相关性都增加了。但是,我们都发现很少有证据表明布朗和跳跃成分的相对贡献之间存在变化,两者都是随波逐流的。共同跳跃源于主要在美国市场开放之前发生的令人惊讶的新闻公告,同时还伴随着布朗驱动的相关性增加。 (C)2016 Elsevier B.V.保留所有权利。

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