Systemic Co-Jumps

M. Caporin, A. Kolokolov, R. Renò
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引用次数: 51

Abstract

The simultaneous occurrence of jumps in several stocks can be associated with major financial news, triggers short-term predictability in stock returns, is correlated with sudden spikes of the variance risk premium, and determines a persistent increase (decrease) of stock variances and correlations when they come along with bad (good) news. These systemic events and their implications can be easily overlooked by traditional univariate jump statistics applied to stock indices. They are instead revealed in a clearly cut way by using a novel test procedure applied to individual assets, which is particularly effective on high-volume stocks.
系统性Co-Jumps
几只股票同时出现的跳涨可能与重大金融新闻有关,触发股票回报的短期可预测性,与方差风险溢价的突然飙升相关,并决定了股票方差和相关性在伴随着坏(好)消息时的持续增加(减少)。这些系统性事件及其影响很容易被应用于股票指数的传统单变量跳跃统计所忽略。相反,它们是通过一种适用于单个资产的新型测试程序以一种清晰的方式显示出来的,这种测试程序对大宗股票尤其有效。
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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