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Impact of COVID-19 and economic policy uncertainty on China's stock market returns: evidence from quantile-on-quantile and causality-in-quantiles approaches.
Ullah, Assad; Zhao, Xinshun; Amin, Azka; Syed, Aamir Aijaz; Riaz, Adeel.
  • Ullah A; School of Economics and Management, Hainan Normal University, Haikou, China. assad@henu.edu.cn.
  • Zhao X; School of Economics, Henan university, Kaifeng, China. assad@henu.edu.cn.
  • Amin A; School of Economics, Henan university, Kaifeng, China.
  • Syed AA; Department of Business Administration, Sukkur IBA University, Sukkur, Pakistan.
  • Riaz A; Institute of Management, Commerce and Economics, Shri Ramswaroop Memorial University, Lucknow, India.
Environ Sci Pollut Res Int ; 2022 Sep 16.
Article in English | MEDLINE | ID: covidwho-2236483
ABSTRACT
COVID-19 unexpectedly ensnared the entire world and wreaked havoc on global economic and financial systems. The stock market is sensitive to black swan events, and the COVID-19 disaster was no exception. Against this backdrop, this study explores the impact of COVID-19 and economic policy uncertainty (EPU) on Chinese stock markets' returns for the period spanning January 23, 2020 to August 04, 2021. The outcomes of the novel quantile-on-quantile regression analysis revealed that both COVID-19 and EPU had a significant negative impact on both Shanghai and Shenzhen stock market returns, while COVID-19 aggravated the level of economic uncertainty in both financial markets. The quantile causality approach of Troster et al. (2018) validates our main estimations. We conclude that COVID-19 and a high level of EPU enervated the returns of China's leading stock markets. Our study provides key insights to policymakers and market participants to determine the behavior of China's stock market returns vis-à-vis COVID-19 during the peak of the pandemic and beyond. Specifically, our findings apprise portfolio investors to augment their portfolio diversification fronts.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-022-22680-y

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: English Journal subject: Environmental Health / Toxicology Year: 2022 Document Type: Article Affiliation country: S11356-022-22680-y