Black Swan Event: An Evidence from China’s Economics Efects

Elena Stavrova, M. Paskaleva, Ani Stoykova
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Abstract

The prognosis of upcoming crises and the course of actually understanding them is increasingly becoming a major subject of discussions in pursuit of reliable indicators The trade war between the United States and China, along with the COVID-19 pandemic are two events that took place in the Chinese economy with the aforementioned characteristics of the Black swan phenomenon, to which this latest professional analysis is devoted The objective of this research is to examine the response of the Shanghai Stock Exchange Composite (SSEC) index, in addition to its relation with macroeconomic variables contributing towards a possible Black Swan Event We employ an econometric methodology comprising of a unit root test, descriptive statistics, linear regression and correlation analysis for the period 2007-2019 Our results illustarte that the bubble from 2015, which is classified as a Black Swan event by many researchers, has a negative influence on the SSEC index We can further deduce that there were some psychological effects on the Chinese stock market that lead to both, positive and negative trends of SSEC indices The main findings confirmed that the Consumer Price Index, Exchange Rate, Interest Rate, Unemployment, GDP and Trade Balance were significantly elaborative macroeconomic variables, that had a substantial impact on the SSEC index
黑天鹅事件:来自中国经济效应的证据
对即将到来的危机的预测和实际理解的过程日益成为追求可靠指标的重要议题。中美贸易战和新冠肺炎大流行是发生在中国经济中的两个事件,具有上述黑天鹅现象的特征。本研究的目的是检验上海证券交易所综合指数(SSEC)的反应,以及它与可能导致黑天鹅事件的宏观经济变量之间的关系。我们采用计量经济学方法,包括2007-2019年期间的单位根检验、描述性统计、线性回归和相关分析。我们的结果表明,2015年以来的泡沫这一事件被许多研究者归类为黑天鹅事件,对SSEC指数产生了负面影响。我们可以进一步推断,中国股市存在一定的心理效应,导致SSEC指数既有正向趋势,也有负向趋势。主要研究结果证实,消费者物价指数、汇率、利率、失业率、GDP和贸易平衡是显著细化的宏观经济变量,它们对SSEC指数产生了实质性影响
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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