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Cross-correlation asymmetries and causal relationships between stock and market risk

机译:股票与股票之间的互相关不对称和因果关系   市场风险

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摘要

We study historical correlations and lead-lag relationships betweenindividual stock risk (volatility of daily stock returns) and market risk(volatility of daily returns of a market-representative portfolio) in the USstock market. We consider the cross-correlation functions averaged over allstocks, using 71 stock prices from the Standard \& Poor's 500 index for1994--2013. We focus on the behavior of the cross-correlations at the times offinancial crises with significant jumps of market volatility. The observedhistorical dynamics showed that the dependence between the risks was almostlinear during the US stock market downturn of 2002 and after the US housingbubble in 2007, remaining on that level until 2013. Moreover, the averagedcross-correlation function often had an asymmetric shape with respect to zerolag in the periods of high correlation. We develop the analysis by theapplication of the linear response formalism to study underlying causalrelations. The calculated response functions suggest the presence ofcharacteristic regimes near financial crashes, when the volatility of anindividual stock follows the market volatility and vice versa.
机译:我们研究了美国股票市场中个人股票风险(每日股票收益率的波动率)和市场风险(市场代表投资组合的每日收益率的波动率)之间的历史相关性和超前-滞后关系。我们使用1994--2013年标准普尔500指数中的71种股票价格,来考虑所有股票的平均相关函数。我们专注于金融危机时期市场波动剧烈的互相关行为。观察到的历史动态表明,在2002年美国股市低迷期间和2007年美国房地产泡沫之后,风险之间的依赖关系几乎是线性的,一直保持到2013年。而且,平均的互相关函数通常相对于高度相关期间的零滞后。我们通过应用线性响应形式主义来研究潜在因果关系来进行分析。当单个股票的波动率跟随市场波动率时,计算得出的响应函数表明在金融崩溃附近存在特征性制度,反之亦然。

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