Volume 30, Issue 2 pp. 1124-1142
RESEARCH ARTICLE

The tail connectedness among conventional, religious, and sustainable investments: An empirical evidence from neural network quantile regression approach

Xin Jin

Xin Jin

School of Public Finance and Taxation, Zhongnan University of Economics and Law, Wuhan, China

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Bisharat Hussain Chang

Bisharat Hussain Chang

Department of Business Administration, Sukkur IBA University, Sukkur, Sindh, Pakistan

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Chaosheng Han

Corresponding 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]

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Mohammed Ahmar Uddin

Mohammed Ahmar Uddin

Department of Finance and Economics, College of Commerce and Business Administration, Dhofar University, Salalah, Dhofar, Oman

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First published: 10 March 2024
Citations: 3

Abstract

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.

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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