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Volatility spillover between economic sectors in financial crisis prediction: Evidence spanning the great financial crisis and Covid-19 pandemic

机译:金融危机预测中经济部门之间的波动性溢出:跨越伟大金融危机和科维德 - 19流行的证据

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This paper measures volatility spillovers between sectors of economic activity using network connectivity measures. Volatility spillovers are an accurate proxy for the transmission of risk across sectors and are particularly informative during crisis periods. To do this, we apply the novel methodology proposed in Diebold and Yilmaz (2012) to seven economic sectors of U.S. economic activity and find that Banking&Insurance, Energy, Technology and Biotechnology are the main channels through which shocks propagate to the rest of the economy. Banking&Insurance is especially relevant during the 2007-2009 global financial crisis while the Energy sector and Technology are especially relevant during the COVID-19 crisis. We also show that volatility spillovers exhibit ability to predict high episodes of volatility for the S&P 500 index being useful as early financial crisis indicators.
机译:本文采用网络连接措施测量经济活动部门之间的波动溢出。 波动率溢出率是跨部门跨越风险的准确代理,并且在危机期间特别提供了信息。 为此,我们将Diebold和Yilmaz(2012年)提出的新型方法应用于美国经济活动的七个经济部门,并发现银行和保险,能源,技术和生物技术是主要渠道,通过震荡传播到其余的经济。 银行和保险在2007 - 2009年全球金融危机中特别相关,而能源部门和技术在科夫德 - 19危机中特别相关。 我们还表明,波动率溢出筛查能够预测标准普尔500指数可用作早期金融危机指标的高度波动性的能力。

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