The tail connectedness among conventional, religious, and sustainable investments: An empirical evidence from neural network quantile regression approach
Xin Jin
School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan, China
Search for more papers by this authorBisharat Hussain Chang
Department of Business Administration, Sukkur IBA University, Sukkur, Sindh, Pakistan
Search for more papers by this authorCorresponding Author
Chaosheng Han
School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan, China
Correspondence
Chaosheng Han, School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan, China.
Email: [email protected]
Search for more papers by this authorMohammed Ahmar Uddin
Department of Finance and Economics, College of Commerce and Business Administration, Dhofar University, Salalah, Dhofar, Oman
Search for more papers by this authorXin Jin
School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan, China
Search for more papers by this authorBisharat Hussain Chang
Department of Business Administration, Sukkur IBA University, Sukkur, Sindh, Pakistan
Search for more papers by this authorCorresponding Author
Chaosheng Han
School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan, China
Correspondence
Chaosheng Han, School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan, China.
Email: [email protected]
Search for more papers by this authorMohammed Ahmar Uddin
Department of Finance and Economics, College of Commerce and Business Administration, Dhofar University, Salalah, Dhofar, Oman
Search for more papers by this authorAbstract
Financial markets are highly unpredictable and often associated with tail risks. This study examines the tail connectivity among three distinct markets—conventional, religious, and sustainable—and uses a new neural network quantile regression technique to quantify their risk exposure. The findings suggest that traditional and religious investments have the greatest tail risk exposure during crises, emphasising the importance of diversification using sustainable investments. The Systematic Network Risk Index identifies intense events, such as the COVID-19 pandemic, the European debt crisis, and the global financial crisis, as having the greatest tail risk. The Systematic Fragility Index finds the Islamic stocks during the COVID-19 crisis and the conventional stock market before the pandemic to the highly vulnerable markets. On the other hand, the Systemic Hazard Index identifies Islamic stocks as the primary source of systemic risk. The study concludes by providing implications for decision-makers, regulatory authorities, investors, players in the financial system, and investment managers to diversify their risk by utilising green/sustainable investments.
CONFLICT OF INTEREST STATEMENT
The authors declare no conflict of interest.
Open Research
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
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