分析重大金融危机对宏观经济变量和股票价格的影响:英国股票市场的实证研究

D. K. Khatri
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引用次数: 0

摘要

本文通过检验五个宏观经济变量(利率、通货膨胀、货币供应量、国内生产总值和汇率)、富时全股指数及其行业指数之间的因果关系,实证检验了 2008 年重大金融危机的影响。此外,报告还分析了 2008 年全球金融危机是否影响了因果关系的方向。为此,因果关系测试分两部分进行,一部分是 1999 年至 2007 年金融危机前的数据,另一部分是 2008 年至 2022 年金融危机后的数据。研究结果揭示了英国股市与最普遍的宏观经济因素之间复杂的因果关系。研究结果表明,从危机前到危机后,宏观经济因素之间的因果关系发生了变化。这表明了英国股市对事件的敏感性。 研究发现,这种因果关系的方向因经济环境、所涉及的不同行业以及不同时期的特定经济条件而异。这项研究的结果为政策制定者、投资者和经济分析师提供了重要的启示,因为它们揭示了指标之间动态而复杂的关系,无论是在总体层面还是在部门层面。研究结果还强调了在分析因果关系时考虑变量分布的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysing the Impact of Major Financial Crisis on Macroeconomic Variables and Stock Prices: An Empirical Study of Stock Market of United Kingdom
The research paper empirically tests the impact of major financial crisis of 2008 by testing the causality between five macroeconomic variables (interest rate, inflation, money supply, GDP and exchange rate), the FTSE All-Share index and its sectoral indices. Furthermore, it analyses whether the global financial crisis of 2008 affected the direction of the causality or not. For this purpose the causality tests were performed in two sections one on the data for the pre financial crisis period  from 1999 to 2007 and another on the data for post financial crisis period from 2008 to 2022. The causality was tested using the quantile Granger causality test, the research findings reveal the complex causality between the UK stock market and the most prevalent macroeconomic factors. The findings of the research are suggestive that the causality between macroeconomic factors changed from pre-crisis period to post-crisis period. This is indicative of the event sensitivity of the stock market of UK.  It was found that the direction of this causality varies according to the circumstances of the economy and across different sectors involved, and particular economic conditions at various times. The findings of this research provide important insights for policymakers, investors, and economic analysts, as they shed light on the dynamic and complex relationship between the indicators, both on an aggregate and sectoral level. The research findings also emphasise the importance of considering the variables' distribution when analysing the issue of causality.
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