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Analyzing the static and dynamic dependence among green investments, carbon markets, financial markets and commodity markets

Emmanuel Joel Aikins Abakah (Department of Finance, University of Ghana Business School, Accra, Ghana)
Aviral Kumar Tiwari (Indian Institute of Management Bodh Gaya, Bodh Gaya, India) (University of Cambridge, Cambridge, UK)
Johnson Ayobami Oliyide (School of Economics, University of Maine, Orono, Maine, USA)
Kingsley Opoku Appiah (Department of Accounting and Finance, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana)

International Journal of Managerial Finance

ISSN: 1743-9132

Article publication date: 8 May 2023

245

Abstract

Purpose

This paper investigates the static and dynamic directional return spillovers and dependence among green investments, carbon markets, financial markets and commodity markets from January 2013 to September 2020.

Design/methodology/approach

This study employed both the quantile vector autoregression (QVAR) and time-varying parameter VAR (TVP-VAR) technique to examine the magnitude of static and dynamic directional spillovers and dependence of markets.

Findings

Results show that the magnitude of connectedness is extremely higher at quantile levels (q = 0.05 and q = 0.95) compared to those in the mean of the conditional distribution. This connotes that connectedness between green bonds and other assets increases with shock size for both negative and positive shocks. This further indicates that return shocks spread at a higher magnitude during extreme market conditions relative to normal periods. Additional analyses show the behavior of return transmission between green bond and other assets is asymmetric.

Practical implications

The findings of this study offer significant implications for portfolio investors, policymakers, regulatory authorities and investment community in terms of carefully assessing the unique characteristics offered by each markets in terms of return spillovers and dependence and diversifying the portfolios.

Originality/value

The study, first, uses a relatively new statistical technique, the QVAR advanced by Ando et al. (2018), to capture upper and lower tails’ quantile price connectedness and directional spillover. Therefore, the results possess adequate power against departure from mean-based conditional connectedness. Second, using a portfolio of green investments, carbon markets, financial markets and commodity markets, the uniqueness of this study lies in the examination of the static and dynamic dependence of the markets examined.

Keywords

Citation

Abakah, E.J.A., Tiwari, A.K., Oliyide, J.A. and Appiah, K.O. (2023), "Analyzing the static and dynamic dependence among green investments, carbon markets, financial markets and commodity markets", International Journal of Managerial Finance, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/IJMF-09-2021-0428

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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