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The Causal Relationship between Economic Policy Uncertainty and Stock Market: A Panel Data Analysis

机译:经济政策不确定性与股市之间的因果关系:面板数据分析

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摘要

This study applies recently developed bootstrap panel Granger causality, proposed by K6nya, to investigate a causal link between economic policy uncertainty and stock markets in nine countries over monthly periods from 2003M01 to 2014M12 (Konya (2006) Exports and growth: Granger causality analysis on OECD countries with a panel data approach. Economic Modelling, 23, 978-992). The modeling allows us to examine both the cross-sectional dependency and the country-specific heterogeneity. The empirical results indicate that not all countries are alike, and that the theoretical prediction that stock markets fall at the announcement of a policy change is not always supported. Specifically, this work finds evidence of the stock market leading hypothesis for India, Italy, and Spain, while the economic policy uncertainty leading hypothesis cannot be rejected for the United Kingdom. In addition, the neutrality hypothesis was supported in the remaining countries (Canada, China, France, Germany and the United States), while the feedback hypothesis, however, is not found. The findings of this study could provide important policy implications for these nine countries.
机译:这项研究应用了K6nya提出的最近开发的自举面板Granger因果关系,调查了2003M01至2014M12每月期间九个国家经济政策不确定性与股票市场之间的因果关系(Konya(2006)出口与增长:OECD上的Granger因果关系分析采用面板数据方法的国家(经济建模,第23卷,第978-992页)。通过建模,我们可以检查横截面依赖性和特定国家/地区的异质性。实证结果表明,并非所有国家都一样,并且并不总是支持理论上的预测,即宣布政策变更后股市下跌。具体来说,这项工作找到了印度,意大利和西班牙的股票市场主导假设的证据,而英国不能拒绝经济政策不确定性主导假设。此外,其余国家(加拿大,中国,法国,德国和美国)也支持中立性假设,但未找到反馈假设。这项研究的结果可能为这九个国家提供重要的政策含义。

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