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US non-linear causal effects on global equity indices in Normal times versus unconventional eras

机译:美国对全球股票指数的非线性因果效应正常时代与非传统时代

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This paper examines global spillover Quantitative Easing (QE) impacts of US on stock market indices by employing apart from a classical Granger causality, also a non-linear quantile regression approach for detecting causality on the tails of the stock indices' distributions. Before US unconventional monetary policies, the non-linear causal relationship between the Fed's balance sheet and stock markets is found to be not significant for most indices over the middle level of quantiles, whereas significant causal relationships are present in tails. There is non-linear evidence that the Fed's assets were mainly influenced by US, Latin American, Australian and some Asian indices while the other stock indices did not Granger cause balance sheet enlargement for any quantile interval before 2008. Nevertheless, almost all domestic and foreign stock indices are found to exert feedback effects during US QE. We argue that US total assets exert non-linear causality towards all stock indices under scrutiny at least at one level of quantile and tighter links of the Fed mainly with advanced economies are found, as impacts on the upper quantile are stronger during US QE.
机译:本文通过除了经典的格兰杰因果关系之外,通过使用除了经典的格兰杰因果关系之外,对美国对股票市场指数的全球溢出量宽松(QE)产生了一种非线性分位数回归方法,用于检测股票指数分布的尾部的因果关系。在我们非传统的货币政策之前,美联储资产负债表和股票市场之间的非线性因果关系被认为对大多数分料率的指数不显着,而尾部则存在显着的因果关系。有非线性证据表明美联储的资产主要受美国,拉丁美洲,澳大利亚人和一些亚洲指数的影响,而另一个股票指数没有Granger在2008年之前引起资产负债表的增加。然而,几乎所有国内外的国外股票指数被发现在美国QE期间发挥反馈效果。我们认为美国总资产在审查中对所有股票指数发挥非线性因果关系,至少在喂养的一级和更严格的联系人中,主要发现了先进经济,因为在美国QE期间对上方的撞击更强。

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