Exploring the Connectedness Between Major Volatility Indices and Worldwide Sustainable Investments

37 Pages Posted: 6 Mar 2024

See all articles by Danyang Xu

Danyang Xu

University of Waikato

Yang Hu

University of Waikato - Management School

Les Oxley

University of Waikato - Department of Economics and Finance

Boqiang Lin

Xiamen University - Collaborative Innovation Center for Energy Economics and Energy Policy

Yongda He

Shanxi University of Finance and Economics - School of Statistics

Date Written: March 3, 2024

Abstract

This paper examines the dynamic connectedness between various measures of volatility indices (e.g., Engle and Campos-Martins [2023]’s global common volatility index (COVOL), VIX, OVX, GVZ) and worldwide ESG leaders’ equity markets, using an aggregated connectedness approach for the period January 2014 to April 2023. Several novel findings are presented. First, the COVID-19 pandemic has a significant impact on the dynamic total connectedness of the system compared to other major global events. Second, the COVOL is a receiver of aggregated global ESG while VIX is a major transmitter. Third, based on the stage of economic development for each ESG market, the aggregated developed-country ESG group plays a more dominant role in the transmission channel. Fourth, based on aggregated ESG markets by region, the VIX is the primary transmitter to four regional ESGs. Last, Europe has low connectedness with the major volatility indices and other regional ESGs. These findings have important and practical implications for investors and portfolio managers in formulating effective risk management strategies for ESG-related investments.

Keywords: ESG, COVOL, COVID-19, Connectedness

JEL Classification: C5, C32, F3, G11, G15

Suggested Citation

Xu, Danyang and Hu, Yang and Oxley, Les and Lin, Boqiang and He, Yongda, Exploring the Connectedness Between Major Volatility Indices and Worldwide Sustainable Investments (March 3, 2024). Available at SSRN: https://ssrn.com/abstract=4746381 or http://dx.doi.org/10.2139/ssrn.4746381

Danyang Xu

University of Waikato ( email )

Hillcreset
Hamilton, Waikato 3216
New Zealand

Yang Hu

University of Waikato - Management School ( email )

Te Raupapa
Private Bag 3105
Hamilton, Waikato 3240
New Zealand

Les Oxley

University of Waikato - Department of Economics and Finance ( email )

Private Bag 3105
Hamilton, 3105
New Zealand

Boqiang Lin (Contact Author)

Xiamen University - Collaborative Innovation Center for Energy Economics and Energy Policy ( email )

Fujian
China

Yongda He

Shanxi University of Finance and Economics - School of Statistics ( email )

Taiyuan
China

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