AN ANALYSIS TO DETERMINATE THE IMPACT OF COVID-19 ON WORLD FINANCIAL MARKETS

Sibel Fettahoğlu, Osman Nuri Boran
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Abstract

In this study, it was analysed to determine whether the coronavirus, which became a global epidemic by affecting the whole world in a short time, caused any changes in the volatility and liquidity of stock market indices in the USA, Germany, China, Japan, Egypt, and Turkey. In this context, the effects of the coronavirus epidemic on DOW30 Index in USA, DAX Index in Germany, SSE Composite Shanghai Index in China, NIKKEI 225 Index in Japan, EGX30 Index in Egypt and BIST100 Index in Turkey were investigated. The results and estimations of the study were limited to the relevant countries, and this was the limitation of the study. Selected countries for the analysis were determined by their locational and financial market properties among developed and developing countries which were the most representative ones. The date of the first case for each country announced by WHO was taken as a basis date. A data set was prepared for the period from the first case had been seen to 18 November 2020 for each country. In order to determine the pre-pandemic and post-pandemic differentiation, a pre-pandemic period data set was created as well as the same amount of data. Thus, it was tried to determine whether there was a differentiation for the period before and after the pandemic. The return and liquidity series of the indices were estimated with GARCH(1,1), one of the conditional variance models, and it was observed that there were changes in the volatility and liquidity of the relevant stock market indices after COVID-19. In addition, volatility clusters were observed. Return series of all country stock market indices which were the subject of the research had determined to have thick tail and skewness features like classical financial time series.
确定COVID-19对世界金融市场影响的分析
在这项研究中,我们分析了冠状病毒,它在短时间内影响了整个世界,成为全球流行病,是否引起了美国、德国、中国、日本、埃及和土耳其股市指数的波动率和流动性的变化。在此背景下,研究了冠状病毒疫情对美国DOW30指数、德国DAX指数、中国上证综合指数、日本日经225指数、埃及EGX30指数和土耳其BIST100指数的影响。本研究的结果和估计仅限于相关国家,这是本研究的局限性。所选择的分析国家是根据其在发达国家和最具代表性的发展中国家之间的地理位置和金融市场属性来确定的。以世卫组织宣布的每个国家出现首例病例的日期作为基准日期。为每个国家从发现首例病例到2020年11月18日这段时间编制了一套数据集。为了确定大流行前和大流行后的区别,创建了大流行前时期数据集以及相同数量的数据。因此,它试图确定大流行前后的时期是否存在差异。利用条件方差模型GARCH(1,1)对指数的收益率和流动性序列进行估计,观察到新冠肺炎疫情后相关股市指数的波动性和流动性发生了变化。此外,还观察到波动簇。作为研究对象的各国股票市场指数的收益序列与经典金融时间序列一样具有粗尾和偏态特征。
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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